Check Point Software Technologies Ltd. is a leading provider of cyber security solutions to corporate enterprises and governments globally.

Check Point Software: Leader in Cyber Security Solutions

SECUREiNFO, Cyber Security Service Provider. Deliver total solution, 24x7 CSOC and consulting service by professional team under ISO27001 standard. All these to answer your organization’s cyber security requirements. OVERALL OF SOLUTION / SERVICE Our security solutions keep you protected ...

Home EN - SECUREiNFO

Make employees, applications and networks faster and more secure everywhere, while reducing complexity and cost.

Connect & protect with the connectivity cloud | Cloudflare

Securing the confidentiality of high-value information is an integral part of the service consulting, and accounting companies offer. They access such information daily through multiple channels and devices. This, in turn, creates an attack vector for cybercriminals to target employee accounts ...

Reinventing mobile security - Secure Group

The RSA Ready program supports technology partnerships with hundreds of companies and solutions from across IT networking, security, and business applications. RSA builds or certifies interoperability across a range of products that span from the endpoint to the cloud, ensuring that the technology ...

RSA Cybersecurity and IAM Solutions

G4S is the world&#x27;s leading integrated security company, providing security solutions to governments, businesses, and individuals in over 90 countries.

G4S Global

Our solutions are designed to hide attack surface via network obfuscation, providing untargetable and undisruptible internet data delivery.

SecureCo Home - Network Obfuscation and Data Transit Security

We are a dynamic multidisciplinary and multicultural team working on tomorrow’s cybersecurity technologies, in an international environment, with worldwide mobility opportunities. We are proud to be part of the Security Science Company.

Secure-IC | Embedded Cybersecurity solutions

We exist to build trust in society and to keep people and businesses safe.

Company | F‑Secure

To give you the most thorough ... every security touchpoint. A “Zero Trust Leader” in Forrester’s Zero Trust eXtended Ecosystem Platform Providers 2019 report ... Read our expert advisory and viewpoints on the cybersecurity topics that matter now. ... Stay up-to-date on industry trends and the latest innovations from the world’s largest cybersecurity company...

Leader in Cybersecurity Protection & Software for the Modern ...

SecQure

secqure

5 Best Decentralized Zoom Alternatives for Secure Video Conferencing

5 mejores alternativas de zoom descentralizado para conferencias de vídeo seguras

5 pi bon altènatif zoom desantralize pou konferans videyo an sekirite

5 Alternatif Zoom Terdesentralisasi Terbaik untuk Konferensi Video yang Aman

5 Best Decentralized Zoom Alternatives for Secure Video Conferencing (セキュアなビデオ会議のための最適な分散型ゾームの代替策)

5 Labākās decentralizētās zooma alternatīvas drošai videokonferencēšanai

5 Alternatif Zum Terdesentralisasi Terbaik untuk Persidangan Video Selamat

ERROR: invalid target_lang (nso)

5 cele mai bune alternative de zoom descentralizat pentru conferințe video sigure

5 лучших децентрализованных альтернатив для безопасной видеоконференции

ආරක්ෂිත වීඩියෝ රැස්වීම සඳහා හොඳම 5 Decentralized Zoom Alternatives

5 najlepších alternatív decentralizovaného priblíženia pre bezpečné videokonferencie

ทางเลือก Zoom แบบกระจายอำนาจที่ดีที่สุด 5 อันดับแรกสำหรับการประชุมทางวิดีโอที่ปลอดภัย

How to Temporarily Grant Admin Privileges with PowerShell (Securely and Automatically)

Seychelles, March 26th, 2025 – StorX Network, a leading DePIN (decentralized cloud storage) network, is revolutionizing authentication with Web3-based authentication, replacing outdated login methods with a more secure, decentralized, and user-friendly system. This major upgrade, including Web3 logins and passphrase removal, will go live on April 1st, 2025, at 12 PM UTC. Web3 represents the next evolution of the internet—where users have full control over their data and identities. Built on XDC Network, StorX Network’s Web3 based authentication eliminates central authorities, fostering a secure and private online experience with benefits like interoperability, privacy, security, and decentralization. A New Era of Secure & Decentralized Authentication StorX is eliminating traditional password-based authentication and outdated Web2 logins. Users can now seamlessly sign in using Google or LinkedIn, ensuring hassle-free and secure access while upholding privacy. Also as part of this transition, Twitter and Unstoppable Domains logins will be discontinued, reinforcing StorX’s commitment to decentralization and security. By integrating trusted platforms, StorX enables frictionless access while ensuring user’s complete control over  data. Passphrase-Free Vaults for Enhanced Security StorX is also removing passphrase-based encryption from vaults and transitioning to a private key-based system. This enhances security by eliminating the need for users to create or remember complex passphrases while ensuring stronger, decentralized protection of stored data. The Future of Decentralized Authentication This marks a major step toward secure and user-friendly authentication. By embracing Web3 based authentication, StorX is setting new standards for decentralized, censorship-resistant storage. Existing users(Google, LinkedIn Users) can transition smoothly to the new authentication system. StorX remains committed to enhancing security and usability while upholding decentralization. For more details, visit https://storx.tech or follow us on X. https://storx.tech https://storx.tech X X About StorX: StorX is a decentralized cloud storage network providing secure, private, and censorship-resistant data storage solutions. By leveraging blockchain technology, StorX ensures data integrity, security, and accessibility for individuals and enterprises worldwide. Contact Person: Prashant AcharyaContact Email: pr@storx.io This story was distributed as a release by Btcwire under HackerNoon’s Business Blogging Program. Learn more about the program here This story was distributed as a release by Btcwire under HackerNoon’s Business Blogging Program. Learn more about the program here here here

StorX Introduces Seamless And Secure Web3-Based Authentication

StorX stel naatlose en veilige web3-gebaseerde verifikasie bekend

StorX presenta l'autenticació segura i segura basada en Web3

StorX presenta autenticación segura basada en la Web

ERROR: invalid target_lang (fa-AF)

StorX מציגה אימות חלק ומאובטח מבוסס Web3

StorX、シームレスでセキュアなWeb3ベースの認証を導入

StorX බාධාවකින් තොරව සහ ආරක්ෂිත Web3-පාදක සත්‍යාපනය හඳුන්වා දෙයි

ERROR: invalid target_lang (ti)

Ipinakilala ng StorX ang Seamless At Secure na Web3-Based Authentication

StorX o‘z web3 bazadi authentication.

StorX giới thiệu xác thực dựa trên Web3 an toàn và liền mạch

I-StorX ibonelela i-Web3-based Authentication ye-Seamless and Secure

Software development and programming, once regarded as endeavors that required deep expertise, can now be done by anyone using natural language. A feature that used to take days or months to develop can now be developed in minutes or hours thanks to code from an AI model. For example, OpenAI Codex and Google BERT are trained on programming web blogs, Stack overflow questions, etc. These intelligent models create code through mathematical probabilities while they are also known to hallucinate and present false information. A research done by academia claims that AI code generation is the leading cause for top 10 vulnerabilities and nearly 40% of code has security bugs. Many of the leading players, along with new SaaS providers are leveraging AI for making their offerings smarter. SaaS programmers too, must be more knowledgeable about AI-based SaaS tools. nearly 40% of code has security bugs What Makes AI-Generated Code Unsafe? Following programming standards and code quality dictates software safety. But, AI models are trained on every bit of information available on the internet. The code quality, reliability, security, and more might differ from that which is generated by human developers. A model trained on web development examples may contain poor data validation practices, for instance. This lack of validation can lead to security issues when the model generates code that adopts the same poor practices. 5 Indicators That Suggest Code Contains Security Weaknesses No matter the size (million or billion of parameters) the mоdels are known to hallucinate and make incorrect predictions. When a typical developer sees the code that an AI produces, they will miss the subtle but serious security vulnerabilities. However, for a developer who has complete knowledge of design and development patterns, flaws are a review away from being identified. Developers can leverage these patterns to discover vulnerabilities and align with SaaS security best practices. SaaS security best practices 1. Type Inference and Input Validations are Not Enforced Modern frameworks and libraries rely heavily on interface/enum for inference and validation. This guarantees that the code does its job accurately and imposes security. AI-generated code won't infer unless we direct it. Even after crafting a careful prompt, type mismatch and validation enforcement may not match the use case. To locate and amend code mismatches, developers must be well aware of the domain and business requirements. def reciprocal(user_input):
 # Insecure implementation with no type inference or validation
 result = 100 / user_input
 return result def reciprocal(user_input):
 # Insecure implementation with no type inference or validation
 result = 100 / user_input
 return result 2. Non-Standard State and Context Sharing Between Classes/Objects Programs share objects in Public/Private/Protected ways. Higher order functions and classes inherit object state by accessing public/protected variables directly to perform computations. If something is done incorrectly in implementation or execution, security or performance bottlenecks may easily occur. SaaS developers must implement their state and context management logic appropriately and review it for correct and safe use. class InsecureClass:
 def __init__(self, owner, balance, password):
 self.owner = owner # Public attribute
 self._balance = balance # Protected attribute
 self.__password = password # Private attribute

 # Public def
 def get_balance(self):
 return self._balance

 # Protected def
 def _update_balance(self, amount):
 self._balance += amount

 # Private def
 def __validate_password(self, input_password):
 return self.__password == input_password

 # Insecure def exposing private data
 def insecure_password_exposure(self):
 return self.__password class InsecureClass:
 def __init__(self, owner, balance, password):
 self.owner = owner # Public attribute
 self._balance = balance # Protected attribute
 self.__password = password # Private attribute

 # Public def
 def get_balance(self):
 return self._balance

 # Protected def
 def _update_balance(self, amount):
 self._balance += amount

 # Private def
 def __validate_password(self, input_password):
 return self.__password == input_password

 # Insecure def exposing private data
 def insecure_password_exposure(self):
 return self.__password 3. Weak Implementation of Data Handling and Sharing Techniques Services share and receive information over the network. These days, secure connectivity and data handling have been crucial to the success of cloud-based systems. When reading, processing, and sharing sensitive data on organizations through distributed data networks, strong protocols and security techniques must be in place to prevent data interception. Using AI, the SaaS developer has to implement every single aspect of the architecture in full-fledged applications. data interception #Insecure Data Sharing
@app.route("/user/<int:user_id>", methods=["GET"])
def get_user(user_id):
 user = users.get(user_id)
 if user:
 return jsonify(user) # All user data exposed, including secrets

# Insecure Data Handling
@app.route("/update_email", methods=["POST"])
def update_email():
 data = request.json()
 user_id = data.get("user_id")
 new_email = data.get("new_email")
 if user_id in users:
 users[user_id]["email"] = new_email # No validation of new_email
 return jsonify({"message": "Email updated successfully"}) #Insecure Data Sharing
@app.route("/user/<int:user_id>", methods=["GET"])
def get_user(user_id):
 user = users.get(user_id)
 if user:
 return jsonify(user) # All user data exposed, including secrets

# Insecure Data Handling
@app.route("/update_email", methods=["POST"])
def update_email():
 data = request.json()
 user_id = data.get("user_id")
 new_email = data.get("new_email")
 if user_id in users:
 users[user_id]["email"] = new_email # No validation of new_email
 return jsonify({"message": "Email updated successfully"}) 4. Inadequate Secrets and Auth Handling 4. Inadequate Secrets and Auth Handling In today's cyber sensitive world, tight RBAC implementation is a must for access control to secure identity while maintaining privacy and compliance. When the code is generated by an LLM, by default there will be a mechanism that connects and authenticates with the auth provider with basic implementation. Simple solutions are not enough to stay secure with emerging cyber threats. While adding custom functionalities developers must test thoroughly to ensure security and auth handling is strongly implemented. RBAC implementation RBAC implementation # Insecure authentication
@app.route("/login", methods=["POST"])
def login():
 data = request.json()
 email = data.get("email")
 password = data.get("password")
 for user_id, user in users.items():
 if user["email"] == email and user["password"] == password:
 return jsonify({"message": "Login successful", "user_id": user_id}) # Insecure authentication
@app.route("/login", methods=["POST"])
def login():
 data = request.json()
 email = data.get("email")
 password = data.get("password")
 for user_id, user in users.items():
 if user["email"] == email and user["password"] == password:
 return jsonify({"message": "Login successful", "user_id": user_id}) 5. Outdated Dependencies with Deprecated Functionality Usage AI programming is being directed by libraries and frameworks made by the community and open-source. People support new technology by using these promising tools and creating new ones. The data these models were trained on is not up to date and the model capabilities are frozen, and so is their knowledge. With the development of technology, a lot of features will become obsolete and some libraries won't be relevant to current needs. A SaaS developer is tasked with the review and usage of valid dependencies to ensure functionality and security. import md5 # Outdated library

def insecure_hash_password(password):
 # Insecure password hashing done using the deprecated MD5 algorithm.
 return md5.new(password).hexdigest() import md5 # Outdated library

def insecure_hash_password(password):
 # Insecure password hashing done using the deprecated MD5 algorithm.
 return md5.new(password).hexdigest() Tips to Make AI-Generated Code Safe to Use The advanced coding capabilities of Large Language Models is due to their extensive mathematical calculations. No fancy techniques are needed to make it compliant with security and programming standards. We can use these simple checks to make AI-generated code safe and compliant with standards: Code review with security and architecture teams should be a standard part of your life cycle.
Integrate automated security testing and validation steps in version control tools.
Include dependency and compliance checks in testing KPIs.
Adopt Zero-Trust architecture with static and dynamic security testing tools.
Leverage DevSecOps practices and shadow AI. Code review with security and architecture teams should be a standard part of your life cycle. Integrate automated security testing and validation steps in version control tools. automated security testing Include dependency and compliance checks in testing KPIs. Adopt Zero-Trust architecture with static and dynamic security testing tools. Leverage DevSecOps practices and shadow AI. Handling Unsafe AI-Generated Code with a Simple Github Action No matter how carefully we review and audit the code, chances of human error are always there. Relying solely on manual audits is not enough as we need to have some predefined checks that can test and validate the code as soon as it enters the version control system. What better check than to add a Github action which automatically runs security and quality checks when a PR is raised. name: Simple Security Checks for AI generated Code

on:
 push:
 branches:
 - main
 pull_request:
 branches:
 - main
jobs:
 security-and-quality-check:
 runs-on: ubuntu-latest
 Steps:

 - name: Repository checkout
 uses: actions/checkout@v3

 - name: Python setup
 uses: actions/setup-python@v4
 with:
 python-version: ">=3.9"

 - name: Dependency installation
 run: |
 python -m pip install --upgrade pip
 pip install bandit pytest

 - name: Identifying insecure libraries and patterns
 run: |
 echo "Checking for insecure patterns..."
 if grep -r "md5.new(" .; then
 echo "ERROR: Insecure MD5 hashing detected. Use hashlib.sha256 or bcrypt instead."
 exit 1
 fi
 echo "No insecure patterns detected."

 - name: Scanning for security vulnerabilities
 run: |
 echo "Running Bandit security scanner..."
 bandit -r .

 - name: Running unit tests
 run: |
 echo "Running unit tests..."
 pytest test/unit --cmodopt=local

 - name: Notifying on failure
 if: failure()
 run: |
 send_slack_notification(“Unsafe code merge detected, fix immediately”) name: Simple Security Checks for AI generated Code

on:
 push:
 branches:
 - main
 pull_request:
 branches:
 - main
jobs:
 security-and-quality-check:
 runs-on: ubuntu-latest
 Steps:

 - name: Repository checkout
 uses: actions/checkout@v3

 - name: Python setup
 uses: actions/setup-python@v4
 with:
 python-version: ">=3.9"

 - name: Dependency installation
 run: |
 python -m pip install --upgrade pip
 pip install bandit pytest

 - name: Identifying insecure libraries and patterns
 run: |
 echo "Checking for insecure patterns..."
 if grep -r "md5.new(" .; then
 echo "ERROR: Insecure MD5 hashing detected. Use hashlib.sha256 or bcrypt instead."
 exit 1
 fi
 echo "No insecure patterns detected."

 - name: Scanning for security vulnerabilities
 run: |
 echo "Running Bandit security scanner..."
 bandit -r .

 - name: Running unit tests
 run: |
 echo "Running unit tests..."
 pytest test/unit --cmodopt=local

 - name: Notifying on failure
 if: failure()
 run: |
 send_slack_notification(“Unsafe code merge detected, fix immediately”) Conclusion Large language models are quite useful tools for SaaS developers to generate code and information with natural prompts. However, they pose security risks and sometimes deliver non-performant code that doesn't suit enterprise needs. SaaS developers must be very careful when using these tools and implementing AI-generated code for real-life use cases. This practical guide focuses on the factors that arise and influence security posture while showing how to overcome these challenges.

Is Your AI-Generated Code Really Secure?

هل الكود الذي تم إنشاؤه بواسطة الذكاء الاصطناعي الخاص بك آمن حقًا؟

আপনার এআই-জেনারেটেড কোড কি সত্যিই নিরাপদ?

¿Es realmente seguro su código generado por IA?

Il tuo codice generato dall'intelligenza artificiale è davvero sicuro?

AI 生成コードは本当に安全ですか?

តើលេខកូដដែលបង្កើតដោយ AI របស់អ្នកពិតជាមានសុវត្ថិភាពមែនទេ?

Je váš kód vygenerovaný AI skutočne bezpečný?

Yako AI-Yakagadzirwa Kodhi Yakachengeteka Chaizvoizvo?

Да ли је ваш код генерисан вештачком интелигенцијом заиста безбедан?

Är din AI-genererade kod verkligen säker?

ብAI ዝፍጠር ኮድካ ብሓቂ ውሑስ ድዩ?

کیا آپ کا AI سے تیار کردہ کوڈ واقعی محفوظ ہے؟

VANCOUVER, Canada, March 18th, 2025/Chainwire/--The artificial intelligence landscape is evolving. Traditional AI models remain centralized, relying on static text data and corporate control. iAgent is introducing a decentralized AI framework where AI agents are trained, owned, and monetized on-chain using real-world visual data. iAgent iAgent Backed by a recent $3 million investment, iAgent has forged several strategic partnerships with leading projects such as Base, LayerZero, Avalanche, Aethir, Arbitrum, and XAI Games. With over 700,000 users on its AGNTxp platform, iAgent is at the forefront of AI x Gaming x DePIN innovation. Now, with TGE live, iAgent is laying the foundation for AI Agents to become a new digital asset that can be trained, validated, and exchanged transparently. "AI should be decentralized, transparent, and monetizable. iAgent is ensuring AI models belong to those who train them, not corporations." — Jamie Batzorig, Co-Founder of iAgent. "AI should be decentralized, transparent, and monetizable. iAgent is ensuring AI models belong to those who train them, not corporations." — Jamie Batzorig, Co-Founder of iAgent. iAgent’s Product Hub: Powering the AI Economy iAgent’s ecosystem consists of a suite of interconnected products aimed at supporting AI development, deployment, and monetization through a decentralized framework. Each component is designed to enhance the verifiability, scalability, and accessibility of AI models across various ecosystems. Visual Learning Model (VLM): Adaptive AI Training Unlike traditional AI that relies on text-based training (LLMs), iAgent’s Visual Learning Models (VLMs) enable AI agents to learn from real-world gameplay footage. This approach allows AI to analyze, strategize, and adapt dynamically, making them more intelligent and applicable in real-world scenarios. iAgent’s VLM-powered AI utilizes real-player interactions to enhance its adaptability, enabling continuous optimization for performance in competitive gaming environments and other applications: Current live for Counter Strike 2, Off the Grid & Citizen Conflict. Players have already contributed 25 TB+ gameplay data.
Over 10,000+ hours of gameplay footage recorded Players have already contributed 25 TB+ gameplay data. Over 10,000+ hours of gameplay footage recorded ERC-** Agent Standard: A New AI Digital Asset Class iAgent’s ERC-** standard will bring AI Agents on-chain as verifiable, secure, and interoperable digital assets. This aims to enable true ownership, trading, and cross-chain utilization without centralized control. While enhancing trust and transparency through provable authenticity and ownership history. AI Agent Marketplace: The Open AI Economy The AI Agent Marketplace serves as the foundation of iAgent’s decentralized ecosystem, enabling seamless AI model deployment, trading, and monetization. Developers can list AI-powered agents for rental or sale, while businesses and game studios can purchase or integrate AI models tailored to their needs. iAgent DEV Hub: Decentralized AI Infrastructure The iAgent DEV Hub acts as the backbone of the protocol, offering developers and AI researchers a comprehensive suite of tools, SDKs, and APIs to build and optimize AI models. It provides a trustless AI validation framework, leveraging on-chain verification nodes, cross-DePIN compute integration, and AI execution tracking. AI in Gaming: The Next Evolution of Intelligent Agents Gaming offers high-quality, labeled data, making it a suitable environment for training advanced AI models. iAgent is introducing adaptive AI agents to gaming, facilitating: AI-powered game assistants – AI agents that analyze in-game movements, provide real-time coaching and improve player performance in FPS games like Valorant.
Smart NPCs that evolve dynamically – NPCs in RPGs like World of Warcraft that learn and adapt to a player’s choices, creating truly immersive experiences.
AI anti-cheat and security systems – AI in games like CS2 that detects aimbots and wallhacks in real-time, ensuring fair gameplay.
Predictive AI for in-game economies – AI models that track in-game trends, helping players optimize asset trading in games like Diablo 4. AI-powered game assistants – AI agents that analyze in-game movements, provide real-time coaching and improve player performance in FPS games like Valorant. Smart NPCs that evolve dynamically – NPCs in RPGs like World of Warcraft that learn and adapt to a player’s choices, creating truly immersive experiences. AI anti-cheat and security systems – AI in games like CS2 that detects aimbots and wallhacks in real-time, ensuring fair gameplay. Predictive AI for in-game economies – AI models that track in-game trends, helping players optimize asset trading in games like Diablo 4. iAgent’s decentralized AI infrastructure will expand beyond gaming, creating an open AI economy applicable across industries. "Gaming is the first major use case, but our AI infrastructure will extend to multiple sectors. AI models will be owned, monetized, and deployed across various real-world applications." — MHL Solutions, iAgent Advisor. "Gaming is the first major use case, but our AI infrastructure will extend to multiple sectors. AI models will be owned, monetized, and deployed across various real-world applications." — MHL Solutions, iAgent Advisor. Roadmap: From Foundation to AI Economy 2023-2024: Establishing the iAgent Protocol Development of Visual Learning Models (VLMs) and AI ownership framework.
AGNTxp launch, onboarding 700K+ users and generating 75K+ AI identities.
AI data collection platform, accumulating 25+ TB+ gameplay data.
Genesis Node Sale to decentralize AI model validation and verification. Development of Visual Learning Models (VLMs) and AI ownership framework. AGNTxp launch, onboarding 700K+ users and generating 75K+ AI identities. AI data collection platform, accumulating 25+ TB+ gameplay data. Genesis Node Sale to decentralize AI model validation and verification. 2025: Scaling AI Deployment & Monetization March 2025: TGE live, launching $AGNT as the core AI economy token.
On-chain governance rollout, enabling staking & liquid staking. TGE live, launching $AGNT as the core AI economy token. On-chain governance rollout, enabling staking & liquid staking. April 2025: AI Agent Marketplace launch, enabling AI deployment, trading, and rental.
ERC-** Standard proposal, formalizing AI ownership and validation. AI Agent Marketplace launch, enabling AI deployment, trading, and rental. ERC-** Standard proposal, formalizing AI ownership and validation. May 2025: AGNT-Hub powered by $AGNT. AGNT-Hub powered by $AGNT. June 2025: AI Agent Explorer & Analytics Platform, enabling transparent AI tracking. AI Agent Explorer & Analytics Platform, enabling transparent AI tracking. Q3 2025: Integration of VLM-powered AI into partner games in the AAA and indie gaming ecosystem.
Visual Data Monetization framework, allowing users to sell gameplay data to train AI. Integration of VLM-powered AI into partner games in the AAA and indie gaming ecosystem. Visual Data Monetization framework, allowing users to sell gameplay data to train AI. Q4 2025: Protocol Testnet Launch, deploying decentralized AI compute infrastructure.
Mainnet launch, establishing the fully operational iAgent Protocol. Protocol Testnet Launch, deploying decentralized AI compute infrastructure. Mainnet launch, establishing the fully operational iAgent Protocol. AGNT: Advancing Practical Applications in AI and Blockchain As the core of the iAgent ecosystem, AGNT enables: AI Training & Trading – AI models can be owned, sold, and deployed through the marketplace.
Compute & Staking Rewards – GPU node operators are incentivized for providing AI training power.
Visual Data Monetization – Users can get AGNT by contributing high-quality labeled data.
Governance Participation – AGNT holders shape the evolution of iAgent’s decentralized AI infrastructure. AI Training & Trading – AI models can be owned, sold, and deployed through the marketplace. Compute & Staking Rewards – GPU node operators are incentivized for providing AI training power. Visual Data Monetization – Users can get AGNT by contributing high-quality labeled data. Governance Participation – AGNT holders shape the evolution of iAgent’s decentralized AI infrastructure. AI is Becoming an Asset Class, and iAgent is Leading the Way. The AI, gaming, and DePIN industry is set to grow from $553.7 billion today to $2.8 trillion by 2030. iAgent aims to build the infrastructure for this growth. About iAgent Protocol iAgent’s Visual Learning Model allows gamers to train custom AI agents from their gameplay footage, powered by decentralized computing. By leveraging blockchain technology, it introduces a new digital asset class, enabling users to Create, Own, and Monetize their AI agents in gaming. iAgent’s iAgent’s Founded by a powerhouse team of industry veterans and innovators, iAgent's leadership team includes eight C-level executives with a combined 20+ years of experience at Fortune 500 companies, driving strategic growth and innovation. On the tech front, the team comprises 12 top-tier AI and blockchain engineers, bringing expertise from global giants like Bosch, Meta, Airbus, and Samsung. The best minds shaping the future of AI x Gaming x DePIN together. Website | Twitter | Telegram | Discord | Whitepaper | Linktree Website Website Twitter Twitter Telegram Telegram Discord Discord Whitepaper Whitepaper Linktree Linktree Contact Co-Founder & CEO Jamie Batzorig iAgent Corporation jamie@iagentpro.com This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here here here

iAgent Secures $3M, Launches $AGNT, And Will Introduce a New ERC-**Standard For AI Agents

iAgent beveilig $3 miljoen, stel $AGNT bekend en sal 'n nuwe ERC-**-standaard vir KI-agente bekendstel

iAgent zajistí 3 miliony dolarů, spouští AGNT $ a představí nový standard ERC-** pro AI agenty

iAgent obtiene 3 millones de dólares, lanza $AGNT y presentará un nuevo estándar ERC-** para agentes de IA

iAgent lève 3 millions de dollars, lance $AGNT et introduira une nouvelle norme ERC-** pour les agents IA

iAgent ने $3M हासिल किया, $AGNT लॉन्च किया, और AI एजेंटों के लिए एक नया ERC-**मानक पेश करेगा

iAgent Sekirize $3M, lanse $AGNT, epi li pral prezante yon nouvo ERC-**Standa pou ajan AI.

iAgent が 300 万ドルを調達し、$AGNT を立ち上げ、AI エージェント向けの新しい ERC-** 標準を導入

„iAgent“ užsitikrina 3 mln. USD, paleidžia USD AGNT ir pristatys naują ERC-** DI agentų standartą

iAgent garante US$ 3 milhões, lança $AGNT e apresentará um novo padrão ERC-**para agentes de IA

iAgent Yizewe $ 3M, Itangiza $ AGNT, Kandi Izana ERC Nshya - ** Ibisanzwe kubakozi ba AI

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Table of Links Abstract and 1 Introduction Abstract and 1 Introduction 2. Current Security Testing Platforms 2. Current Security Testing Platforms 2.1. Recent progress 2.1. Recent progress 3. A New Testing Platform and 3.1. Testing platform roles 3. A New Testing Platform and 3.1. Testing platform roles 3.2. Web-based remote access 3.2. Web-based remote access 3.3. Testbed setup 3.3. Testbed setup 4. Enabled Testing Methodologies 4.1. Secure Development Lifecycle (SDL) testing and 4.2. Penetration testing 4.1. Secure Development Lifecycle (SDL) testing and 4.2. Penetration testing 4.3. Research testing 4.3. Research testing 5. Conclusion & Outlook, and References 5. Conclusion & Outlook, and References 4. Enabled Testing Methodologies 4.1. Secure Development Lifecycle (SDL) testing VSEC Test aims to integrate all methods of vehicle cybersecurity testing into a single easy-to-use platform. As discussed above, a portion of cybersecurity verification, as required by the ISO/SAE standard, is no different than software and systems verification required by other industry standards. The remote capabilities and test management features offered by VSEC Test allows test engineers to design and set up the test procedures one time in order to run on a schedule or triggered by other tools as a part of CI/CD frameworks. This centralized platform for test procedures and results can potentially be used to exchange data throughout the supply chain and ensure consistent verification test coverage for the development life cycle of a vehicle. For example, we perform continuous cybersecurity functional testing on components with over-the-air (OTA) update functionality as a service. We set up the test rack and develop the test procedures once on VSEC Test, and it is performed on a periodic schedule and also whenever a new software update is applied. Continuous functional testing against cybersecurity requirements effectively identified vulnerabilities that were overlooked during the development cycle. In addition, VSEC Test provides a set of built-in tests as a preliminary scan for known weaknesses and vulnerabilities, which can be used directly against a target vehicle or ECU. This scan can allow users to easily and quickly determine if there are large gaps in measures protecting the interface or if there are known exploits that will work on the target vehicle or ECU. 4.2. Penetration testing Pentesting approaches. Most pentest engagements start with an exploratory phase, where the tester aims to discover as much information about the target as possible. The duration and effort in this phase is largely determined by the amount of information available to the tester. VSEC Test allows users to build a pool of their own test scripts or use built-in discovery scans specifically targeting automotive networks, including protocols such as UDS and XCP. These tests can be queued up and ran in the background or over the weekend, saving time and allowing a team to focus on more technically challenging tasks or other projects. The web interface allows testers to access and check on test status at any time from anywhere to determine the next step of action. Pentesting approaches. Partner Pentesting. A major difficulty in accessing the talent pool of world-class vehicle penetration testers is physical location. The VSEC Test platform enables any remote engineer with credentials to connect to the bench and handle any physical interactions with the component and remotely script and execute tests from VSEC Test. We call this Partner Pentesting. Partner Pentesting. To evaluate the Partner Pentesting concept, we set up a scenario as depicted in Figure 2, where a remote wireless penetration testing specialist is working with a local test engineer to control a software-defined radio connected to the cloud and capture communication between the key fob and the car in addition to any vehicle network messages. The specialist then proceeds to study and decode the traffic, create scripts to attack the communication, and work together with the local test engineer to validate findings. In this case, without physical access to the vehicle and a local partner to perform tasks, it would have been very difficult to perform a meaningful penetration test against the vehicle’s wireless entry system. Side-channel analysis. On the other hand, we have other benches in the lab can be tested with little to no user interactions. For these targets, fully remote networklevel penetration test with a test bench setup can achieve results on-par with on-site engagements. However, we found that more hands-on penetration testing procedures such as hardware analysis and side channel attacks are still very difficult to perform without having an onsite specialist. As a result, while acceptable for many scenarios, fully remote penetration testing remains very limited for certain configurations due to manual activation required for physical interfaces and required hardware and tooling interaction for certain procedures. However, we are able to make progress with a Partner Pentesting setup that provides assistance from onsite personnel and achieves comparable outcomes as a fully onsite engagement. Side-channel analysis. This paper is available on arxiv under CC BY 4.0 DEED. This paper is available on arxiv under CC BY 4.0 DEED. available on arxiv Authors:
(1) Sekar Kulandaivel, Robert Bosch LLC — Research and Technology Center;
(2) Wenjuan Lu, Block Harbor Cybersecurity;
(3) Brandon Barry, Block Harbor Cybersecurity;
(4) Jorge Guajardo, Robert Bosch LLC — Research and Technology Center. Authors: Authors: (1) Sekar Kulandaivel, Robert Bosch LLC — Research and Technology Center; (2) Wenjuan Lu, Block Harbor Cybersecurity; (3) Brandon Barry, Block Harbor Cybersecurity; (4) Jorge Guajardo, Robert Bosch LLC — Research and Technology Center.

Enabled Testing Methodologies: Secure Development Lifecycle (SDL) Testing and Penetration Testing

Prelude: Ed25519 Asymmetric algorithm, also known as public-key cryptography, is a cryptographic algorithm where a secret key can be divided into two parts: a public key and a private key. Here, the public key can be given to any party, trusted or not, while the private key must be kept secret. This algorithm thrives in two primary use cases: confidentiality and authentication. An asymmetric algorithm allows any party who has access to the public key to sign a message, and the party with the private key corresponding to the public key can verify the message. For instance, it can be combined with PKIs to find out who holds the private key, hence providing authentication. More so, using the asymmetric algorithm allows a party holding the public key to encrypt a message, which can be decrypted by the corresponding party holding the private key, hence ensuring confidentiality. ED25519 is an elliptic curved-based algorithm that is related to the asymmetric algorithm family as it follows its structure of a pair of keys: a private key and a public key. It is optimized for digital signatures, which is a core part of the asymmetric algorithm. Lastly, it uses the mathematics of elliptic curve cryptography, which is a part of the asymmetric algorithm to generate pairs of keys. The next section will go over ED25519 in detail, going over its features. In summary, Ed25519 is known to be a good cryptographic design as it is more efficient than old algorithms such as Rivest-Shamir-Aldleman and Digitial Signature Algorithms. This makes Ed25519 suitable for high-performance systems like blockchains (Solana), where large volumes of transactions are processed frequently and swiftly. Ed25519 also provides security against cryptographic attacks such as collision attacks (two inputs are guessed randomly to produce the same hash value) and side-channel attacks (exploitation of information through branch prediction unit during the execution of cryptographic execution). Ed25519 signatures are elliptic curve signatures, carefully engineered at several levels of design and implementation to achieve very high speeds without compromising security. Ed25519 is an elliptic curve signing algorithm using EdDSA and Curve25519 Core Features The core features of Ed25519 are: Fast Signing and Key Generation: A modern 12-core 3.5GHz processor signs 436,000 messages per second, while a 2024 16-core 4.0GHz processor signs 545,000 messages per second. The key generation speed is as fast as signing.
Secure session keys. Signatures are generated deterministically; key generation consumes new randomness, but new signatures do not.
Collision resilience. Hash-function collisions do not break this algorithm. This adds a layer of defense against the possibility of weakness in the selected hash function.
No secret branch conditions. Ed25519 does not perform conditional branches based on secret data; the pattern of jumps is completely predictable. This makes it immune to side-channel attacks that rely on the leakage of information through the branch prediction unit.
Small signatures. Signatures fit into 64 bytes. These signatures are compressed versions of longer signatures; the times for compression and decompression are included in the cycle counts reported above.
Small keys. Public keys consume only 32 bytes, which means the times for compression and decompression are reduced. Fast Signing and Key Generation: A modern 12-core 3.5GHz processor signs 436,000 messages per second, while a 2024 16-core 4.0GHz processor signs 545,000 messages per second. The key generation speed is as fast as signing. Fast Signing and Key Generation: Secure session keys. Signatures are generated deterministically; key generation consumes new randomness, but new signatures do not. Secure session keys. Collision resilience. Hash-function collisions do not break this algorithm. This adds a layer of defense against the possibility of weakness in the selected hash function. Collision resilience. No secret branch conditions. Ed25519 does not perform conditional branches based on secret data; the pattern of jumps is completely predictable. This makes it immune to side-channel attacks that rely on the leakage of information through the branch prediction unit. No secret branch conditions. Small signatures. Signatures fit into 64 bytes. These signatures are compressed versions of longer signatures; the times for compression and decompression are included in the cycle counts reported above. Small signatures. Small keys. Public keys consume only 32 bytes, which means the times for compression and decompression are reduced. Small keys. ED25519 in Solana In Solana, Ed25519 leverages its public key cryptography for wallet management and signing transactions, where the private key signs transactions and the public key identifies the account. One of Ed25519's core features is having a public key of only 32 bytes; this allows for the fast dissemination of data across the network due to its compact size, which contributes to Solana’s high throughput. Furthermore, most Solana accounts use an Ed25519 public key as their address and a 64-byte private key to sign transactions. ED25519 is integral to Solana wallets like Phantom, Sollet, and Solflare, where users generate key pairs to manage their accounts and sign transactions efficiently. Wrapping Up In conclusion, Ed25519 is crucial to the Solana network, enhancing security while ensuring high throughput, reducing data sizes, and enabling fast transaction processing. Its efficient signing and compact key sizes play a significant role in maintaining Solana's scalability and performance.

Meet Ed25519, The Tiny Crypto Algorithm That Makes Solana Insanely Fast and Secure

LONDON, United Kingdom, March 10th, 2025/Chainwire/--Bullionaire Coin ($BULL), a Solana-based cryptocurrency, has secured $400,000 from private investors to support the development of its blockchain ecosystem. The project aims to integrate digital assets with exclusive experiences for token holders through a tiered benefits system. Presale Progress and Security Audit The ongoing presale has raised over $46,000, reflecting early participation in the project. To enhance security, blockchain auditing firm Coinsult has reviewed Bullionaire’s smart contracts, confirming their functionality and compliance with security protocols. Coinsult Coinsult Tiered Benefits for Token Holders Bullionaire Coin has introduced a structured benefits model that provides increasing privileges based on the duration of token holdings: Puppy Tier (0-3 months): Access to community events, base-level staking rewards, early notifications on token developments, and participation in monthly gatherings.
Adult Dog Tier (3-12 months): Increased staking rewards (+2.5% APY), priority access to limited collaborations, complimentary luxury wellness experiences, and quarterly strategy sessions with advisors.
Alpha Dog Status (12+ months): Maximum staking benefits, access to private transportation services via partners, a dedicated personal concierge, and invitations to an annual leadership summit. Puppy Tier (0-3 months): Access to community events, base-level staking rewards, early notifications on token developments, and participation in monthly gatherings. Adult Dog Tier (3-12 months): Increased staking rewards (+2.5% APY), priority access to limited collaborations, complimentary luxury wellness experiences, and quarterly strategy sessions with advisors. Alpha Dog Status (12+ months): Maximum staking benefits, access to private transportation services via partners, a dedicated personal concierge, and invitations to an annual leadership summit. Community and Market Engagement Bullionaire Coin has drawn attention from cryptocurrency commentators. For instance, Thomas Crypto, a content creator with over 160,000 subscribers, recently discussed the project’s potential in a video review. Similarly, YouTuber Alessandro De Crypto has shared insights on Bullionaire Coin with his audience. video video Token Allocation and Roadmap The project has established a fixed supply of 1 billion $BULL tokens, distributed as follows: 50% for community rewards and staking incentives
20% allocated to trading liquidity
15% designated for development and improvements
10% for marketing and partnerships
5% reserved for presale participants 50% for community rewards and staking incentives 20% allocated to trading liquidity 15% designated for development and improvements 10% for marketing and partnerships 5% reserved for presale participants Looking ahead, Bullionaire plans to list $BULL on exchanges, launch staking mechanisms, and collaborate with luxury brands to expand token utility. About Bullionaire Coin ($BULL) Bullionaire Coin is a Solana-based digital asset designed to integrate cryptocurrency with premium experiences. With a focus on efficient transactions, low fees, and security, the project aims to offer token holders structured incentives while exploring partnerships in the luxury sector. The total supply is capped at 1 billion tokens. Bullionaire Coin Bullionaire Coin Users can visit: Website: https://bullionairecoin.com https://bullionairecoin.com https://bullionairecoin.com X (formerly Twitter): https://x.com/bullionairecoin https://x.com/bullionairecoin https://x.com/bullionairecoin Telegram: https://t.me/+vlxXoRJKbWA0ODY8 https://t.me/+vlxXoRJKbWA0ODY8 https://t.me/+vlxXoRJKbWA0ODY8 Legal Disclaimer Bullionaire Coin is intended for individuals familiar with cryptocurrency market risks. Digital asset investments can be volatile. Prospective participants should conduct independent research and assess financial considerations before engaging. This press release does not constitute financial or investment advice. Contact Bullionaire Team info@bullionairecoin.com This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here. This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here. here. here

Bullionaire Coin ($BULL) Secures $400,000 In Private Investment To Develop Luxury-Focused Crypto

Bullionaire Coin ($BULL) ukax 400.000 dólares ukjaw Inversión Privada ukar Seguro, Cripto Luxus ukar uñt’ayat uñstayañataki

Bullionaire Coin ($BULL) osigurava 400.000 dolara privatnih investicija za razvoj kriptovalute fokusirane na luksuz

Bullionaire Coin ($BULL) obtiene $400,000 en inversión privada para desarrollar una criptomoneda enfocada en el lujo

Bullionaire Coin ($ BULL) asegura $ 400,000 en investimento privado para desenvolver criptográficos centrados no luxo

Bullionaire Coin ($ BULL) Sekirize $ 400,000 nan envestisman prive pou devlope kriptografik ki konsantre sou liks.

Bullionaire Coin ($BULL) が高級品に特化した暗号通貨の開発のために40万ドルの民間投資を確保

ბულიონერის მონეტა ($BULL) უზრუნველყოფს 400,000 აშშ დოლარის კერძო ინვესტიციას, რათა განავითაროს ფუფუნებაზე ორიენტირებული კრიპტო

Bullionaire Coin ($ BULL) asigură investiții private de 400.000 de dolari pentru a dezvolta criptografii axate pe lux

Bullionaire Coin ($ BULL) zabezpečuje súkromné investície vo výške 400 000 USD na rozvoj kryptomien zameraných na luxus

Bullionaire Coin ($ BULL) Waxay ku dammaanad qaadaysaa $400,000 Maalgelinta Gaarka ah si loo horumariyo Crypto Luxury Focused

Sarafu ya Bullionaire ($BULL) Inalinda $400,000 katika Uwekezaji wa Kibinafsi Ili Kuendeleza Crypto inayozingatia Anasa

Bullionaire Coin ($BULL) Naka-secure ng $400,000 Sa Pribadong Pamumuhunan Upang Bumuo ng Crypto na Nakatuon sa Luxury

New research by 10X Research has revealed the massive benefits on offer to users of a U.S. Dollar-denominated stablecoin being launched within the Filecoin ecosystem. Filecoin is among the most rapidly-growing platforms in Web3, and there is a massive amount of untapped value on the decentralised file storage network waiting to be unlocked. Between high-level support from a number of foundations and an ever-growing list of ecosystem partners, the importance of a publicly open, peer-built lending market and a liquid source of on-chain Dollars is becoming apparent with each passing day, especially as the data stored on the protocol increasingly becomes the fuel powering the AI revolution. Among the 10x research report’s main findings, it is believed that such a coin would bring expanded possibilities similar to how DAI impacted Ethereum’s DeFi markets. These benefits include but are not limited to: Increased user adoption from an on-chain reserve stablecoin would make Filecoin’s platform more accessible to a wider audience of users
Enhanced liquidity and stability by eliminating the need for users to transact in FIL
A universe of opportunity by being able to leverage loop trading, carry trades, and fixed-income instruments within Filecoin’s ecosystem Secured Finance has been contributing to the Filecoin ecosystem to bring to market USDFC, a product that would largely fill the role described above. This stablecoin would be over-collateralised and pegged to the value of FIL - in USD. “We believe that the Filecoin ecosystem is ripe for further innovation and adoption,” said Masa Kikuchi, CEO at Secured Finance. “By enabling ecosystem participants to transact in U.S. Dollars, a whole new world of optionality opens up and should enable more rapid growth of the overall platform.” By comparison, the amount of ETH tokens backing Maker Dao’s DAI token grew to more than seven billion dollars within two years of launch, and currently stands at several billions. A similar impact to the Filecoin ecosystem would be a trajectory altering outcome for the project. To learn more about USDFC or Secured Finance, please visit http://secured.finance; or follow Secured Finance on X at https://www.x.com/Secured_Fi. About Secured Finance Secured Finance revolutionizes fixed-income with on-chain orderbook lending & bond issuance and FIL-backed stablecoin, USDFC. Powered by smart contracts, our platform delivers transparent, low-cost fixed-rate lending and true financial inclusion in DeFi 2.0. About 10X Research 10x Research is a leading digital asset research firm delivering institutional-grade crypto market insights, trading signals, investment strategies, and fundamental analysis for digital assets. With a focus on quantitative analysis, macro trends, and systematic trading models, 10x Research helps clients make informed decisions in the fast-moving crypto space. This story was distributed as a release by Btcwire under HackerNoon’s Business Blogging Program. Learn more about the program here New research by 10X Research has revealed the massive benefits on offer to users of a U.S. Dollar-denominated stablecoin being launched within the Filecoin ecosystem. Filecoin is among the most rapidly-growing platforms in Web3, and there is a massive amount of untapped value on the decentralised file storage network waiting to be unlocked. Between high-level support from a number of foundations and an ever-growing list of ecosystem partners, the importance of a publicly open, peer-built lending market and a liquid source of on-chain Dollars is becoming apparent with each passing day, especially as the data stored on the protocol increasingly becomes the fuel powering the AI revolution. Among the 10x research report’s main findings , it is believed that such a coin would bring expanded possibilities similar to how DAI impacted Ethereum’s DeFi markets. 10x research report’s main findings 10x research report’s main findings These benefits include but are not limited to: Increased user adoption from an on-chain reserve stablecoin would make Filecoin’s platform more accessible to a wider audience of users Enhanced liquidity and stability by eliminating the need for users to transact in FIL A universe of opportunity by being able to leverage loop trading, carry trades, and fixed-income instruments within Filecoin’s ecosystem Increased user adoption from an on-chain reserve stablecoin would make Filecoin’s platform more accessible to a wider audience of users Enhanced liquidity and stability by eliminating the need for users to transact in FIL A universe of opportunity by being able to leverage loop trading, carry trades, and fixed-income instruments within Filecoin’s ecosystem Secured Finance has been contributing to the Filecoin ecosystem to bring to market USDFC, a product that would largely fill the role described above. This stablecoin would be over-collateralised and pegged to the value of FIL - in USD. “We believe that the Filecoin ecosystem is ripe for further innovation and adoption,” said Masa Kikuchi, CEO at Secured Finance. “By enabling ecosystem participants to transact in U.S. Dollars, a whole new world of optionality opens up and should enable more rapid growth of the overall platform.” By comparison, the amount of ETH tokens backing Maker Dao’s DAI token grew to more than seven billion dollars within two years of launch, and currently stands at several billions. A similar impact to the Filecoin ecosystem would be a trajectory altering outcome for the project. grew grew To learn more about USDFC or Secured Finance, please visit http://secured.finance ; or follow Secured Finance on X at https://www.x.com/Secured_Fi . http://secured.finance http://secured.finance https://www.x.com/Secured_Fi https://www.x.com/Secured_Fi About Secured Finance Secured Finance revolutionizes fixed-income with on-chain orderbook lending & bond issuance and FIL-backed stablecoin, USDFC. Powered by smart contracts, our platform delivers transparent, low-cost fixed-rate lending and true financial inclusion in DeFi 2.0. About 10X Research 10x Research is a leading digital asset research firm delivering institutional-grade crypto market insights, trading signals, investment strategies, and fundamental analysis for digital assets. With a focus on quantitative analysis, macro trends, and systematic trading models, 10x Research helps clients make informed decisions in the fast-moving crypto space. This story was distributed as a release by Btcwire under HackerNoon’s Business Blogging Program. Learn more about the program here This story was distributed as a release by Btcwire under HackerNoon’s Business Blogging Program. Learn more about the program here here here

10x Research: How a FIL Backed USD Stablecoin By Secured Finance Would Boost The Filecoin Ecosystem

Recerca 10x: com una moneda estable USD recolzada per FIL per finançament assegurat potenciaria l'ecosistema Filecoin

10x forskning: Hvordan en FIL-støttet USD Stablecoin af sikret finansiering ville booste Filecoin-økosystemet

Έρευνα 10x: Πώς θα ενίσχυε το οικοσύστημα Filecoin ένα σταθερό coin με υποστήριξη FIL από ασφαλή χρηματοδότηση

Investigación 10x: Cómo una stablecoin en dólares respaldada por FIL de Secured Finance impulsaría el ecosistema de Filecoin

تحقیق 10x: چگونه یک استیبل کوین دلاری با پشتیبانی FIL توسط تامین مالی امن، اکوسیستم Filecoin را تقویت می کند

10x Istraživanje: Kako bi FIL uz potporu USD stablecoin putem osiguranog financiranja potaknuo Filecoin ekosustav

10x kutatás: Hogyan erősítené fel a Filecoin ökoszisztémát egy FIL által támogatott USD Stablecoin biztonságos pénzügyek által

10x հետազոտություն. Ինչպե՞ս է ապահովված ֆինանսների կողմից աջակցվող ԱՄՆ դոլար ստաբիլքոյնը կխթանի Filecoin էկոհամակարգը

10x Research: セキュアドファイナンスによる FIL 裏付けの USD ステーブルコインがファイルコインエコシステムをどのように促進するか

10x Истражување: Како FIL поддржан USD Stablecoin со обезбедени финансии ќе го зајакне екосистемот Filecoin

10x පර්යේෂණ: සුරක්ෂිත මූල්‍ය මගින් FIL පිටුබලය ලබන USD Stablecoin එකක් Filecoin පරිසර පද්ධතිය ඉහළ නංවන්නේ කෙසේද?

10x Tsvagiridzo: Iyo FIL Yakatsigirwa sei USD Stablecoin NeMari Yakachengetedzwa Inogona Kuwedzera Iyo Filecoin Ecosystem

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