The Rise Of AI & Cyber Security - 8 Must Try Tools In 2022 by@thetechguy

The Rise Of AI & Cyber Security - 8 Must Try Tools In 2022

Nearly two-thirds of organizations are using or plan to use AI capabilities in their security operations by 2023. The demand for artificial intelligence cybersecurity tools is also growing at an exponential rate. The days of deliberate, human-driven malware attacks are fading fast. Cybersecurity experts are turning to artificial intelligence to be able to keep up with the variety and speed of modern day cyber threats. Artificial intelligence is a fancy way to describe the process of building machines that can learn and respond to their environment. In cybersecurity, artificial intelligence tools are programmed to look for certain indicators of risk or threat.
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Daniel Kebbe

Director, Cyber Security Operations & Incident Response

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AI IS ON THE RISE, AI and Machine Learning are shaping the future in Cybersecurity, hence, leading to RISE OF AI-based cybersecurity tools as a phoenix. 

With a recent study finding that nearly two-thirds of organizations are using or plan to use AI capabilities in their security operations by 2023.

The days of deliberate, human-driven malware attacks are fading fast. We’re now seeing a surge in AI-powered attacks that can bypass even the most sophisticated security defenses.

No wonder, then, that the demand for artificial intelligence cybersecurity tools is also growing at an exponential rate. 

Cybersecurity experts are turning to artificial intelligence to be able to keep up with the variety and speed of modern day cyber threats. 

AI-based tools can detect patterns in data, quickly identify anomalies and learn from their mistakes — all tasks that would prove too hard or slow for humans.

Artificial intelligence is like climbing a tree to try and reach the
moon; one can report steady progress, all the way to the top of
the tree.

What is Artificial Intelligence in Cyber Security?

Artificial intelligence is a fancy way to describe the process of building machines that can learn and respond to their environment. 

In cybersecurity, artificial intelligence tools are programmed to look for certain, known indicators of risk or threat. 

Once those indicators are identified, the system can take automatic action to stop the threat before damage is done.

How Does Artificial Intelligence in Cyber Security Work?

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One common example of AI’s use in cybersecurity comes from email filtering programs like Gmail. 

When an email hits your inbox with a suspicious link or attachment, Gmail sends a warning and deletes the email before you’re able to click on it.

This works because Gmail has been trained using millions of examples of suspicious emails from users around the world. 

It has learned that certain links or attachments often indicate malicious intent, so when it sees those links or attachments in an incoming email, it flags them as potentially dangerous and takes action to protect you from them.

AI Cyber Security Tools - What Are These?

As technology dramatically improves, AI has become a huge buzz word. With the advancement of technology and evolution of AI, artificial intelligence security tools are also becoming smarter and more efficient in every way.

These types of cyber security tools are highly sophisticated and can automate the process of threat detection and eradication by employing machine learning, deep learning algorithms and automation.

The artificial intelligence cybersecurity tools are the leading next-generation cybersecurity solutions that get things done. AI-enabled security tools and products can detect and respond to cybersecurity incidents with minimal or zero input from humans.

They protect the entire data layer and provide deep visibility across the enterprise. The solution detects, tracks, and responds to threats in real-time. 

The cyber security system with AI can monitor large amounts of data and spot anomalies, identify hackers' methodologies, and recognize attacks. 

That's because when it comes to preventing security breaches, AI-based tools have a lot of advantages—including the ability to detect and stop threats before they happen, and perform tasks more effectively than humans.

It also has many features like:

-Unlimited scalability

-Automatic updates

-Flexible deployment options

-Advanced threat protection

-Advanced threat prevention

Today’s cyber criminals are using machine learning to better understand the behavior of their targets and launch more precise attacks, so it makes sense that organizations would also want to harness these same technologies to stay ahead of them.

Top 8 AI-Based Cyber Security tools You Must Try In 2022

Whether you already know these tools or not, one thing is for certain: these tools are some of the best available today. I've talked to a bunch of people who think AI has a lot of potential in the future and they argue that it's only a matter of time before AI starts becoming an integral part of our daily lives.

And they're right! In fact, it's already happening. So what are some recommendations for the Top 7 Cyber Security Tools That Use AI - Must Try In 2022? Check out my list below!

Darktrace Antigena

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Antigena is Darktrace’s active self-defence product, extending its core capabilities to detect and replicate digital antibody functions that identify and neutralize threats.

Darktrace Antigena identifies and protects against unknown threats without prior knowledge of attacks, rules, or signatures. Darktrace then can respond automatically to threats, which enables rapid response without disruption of normal business activity.

Try It - Here

WP Hacked Help (WPHH)

Reduce your website breach risk, don’t add to it. WP Hacked Help is a WordPress security service provider that has taken the world of cyber security by storm in 2022. Their tool, First Ever, AI based WordPress malware scanner, is Engineered from the ground up to be secure (WordPress) websites (you must know that wordpress is the most popular CMS and hence is the top target for hacking). It including features like AI based wordpress website malware scanner.

What makes it unique and revolutionary?

It uses AI and machine learning (ML) to quickly analyze millions of
hacked websites and identify many different types of threats – from malware exploiting zero-day vulnerabilities to identifying risky behavior that might lead to getting your wordpress hacked. Their AI based wordpress scanner tool learns over time, drawing from the past to identify new types of attacks. Histories of hacker build profile ,
assets, and networks, allows AI to detect and respond to deviations
from established norms.

Try It Here

bioHAIFCS

BioHAIFCS (Bio-inspired Hybrid Artificial Intelligence Framework for Cybersecurity) is a bio-inspired, hybrid artificial intelligence framework for cybersecurity that combines timely and bio-inspired machine learning methods. It was first developed to protect military information systems, applications, and networks.

The program incorporates the Hybrid Evolving Spiking Anomaly Detection Model (HESADM), which is used to prevent cyber-attacks, because these types of attacks cannot be overcome by passive security measures; the Evolving Computational Intelligence System for Malware Detection (ECISMD); and the Evolutionary Prevention System from SQL Injection (ePSSQLI) attacks.

GitHub: https github.com sumendrabsingh/CyberSecTK-Library

Cyber Security Tool Kit (CyberSecTK)

CyberSecTK is a Python library for preprocessing and feature extraction of cyber-security-related data with the purpose of bridging the gap between cybersecurity and machine learning techniques.

The CyberSecTK (Cybersecurity Toolkit) is a suite of cybersecurity tools and modules. It helps cyber experts to implement a basic machine-learning pipeline from scratch.

Try It Here

Cognito by Vectra

Vectra's Cognito platform is designed to detect and respond to cyberattacks within the cloud, data center, IoT, and enterprise networks. With Cognito, organizations can automate threat detection, empower their security teams with actionable insights across an entire deployment, and gain visibility into complex environments.

Try It Here - https://www.vectra.ai

DefPloreX

DefPloreX is a machine learning toolkit designed to detect large-scale e-crime on the internet. It is a flexible toolkit that is based on open-source libraries, enabling it to efficiently analyze millions of defaced web pages.

The DefPloreX system uses machine learning and data visualisation techniques to turn unstructured data into meaningful descriptions. When used with collected data on a large volume of web incidents, DefPloreX automatically groups similar defaced pages into clusters and organises web incidents into campaigns.

Github Repository: https://github.com/trendmicro/defplorex

IBM QRadar Advisor

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IBM QRadar Advisor with Watson is a cognitive artificial intelligence platform that supports security professionals through the incident and risk analysis, triage, and response process.

Check out - https://www.ibm.com/in-en/products/cognitive-security-analytics/details

Sophos’ Intercept X tool

Intercept X is a cybersecurity tool that leverages the deep learning capabilities of Sophos to protect networks against threats. It shifts endpoint security from a reactive to a predictive approach, both preventing known and never-seen-before threats.

Sophos Intercept X employs a defense-in-depth approach to endpoint protection. One of its primary security techniques is enforcing data execution prevention, which can prevent code injection attacks. It also has other features like stack pivot and heap spray allocation.

Check out: https://www.sophos.com/en-us/products/endpoint-antivirus

Targeted attack analytics (TAA) by Symantec

Symantec's targeted attack analytics (TAA) tool provides a variety of benefits: cloud-based analytics that continuously adapt to new attack techniques, continuous delivery of attack detections, and the ongoing addition of new attack analytics.

Advanced Threat Protection provides multiple incidences of attack detections combined with AI-driven and human analysis customized to each customer's environment.

Is AI or machine learning enough to stop cybercrime?

Machine learning does some things really well, such as quickly
scanning large amounts of data and analyzing it using statistics.
Cybersecurity systems generate reams of data, so it's no wonder the
technology is such a useful tool .

“Data tells a story,” “ If you understand how to analyze the data, you should be able to come up with the deviations from the norm and how to protect your online business.” says Umar Shreef, a tech savvy small business owner in Toronto.

Hope you find this article interesting. That’s a wrap! I’ll be bringing out Part 2 , which will be arriving shortly!

About Me -

I’m Daniel Kebbe, Director, Cyber Security Operations & Incident Response at Redblink. I help seamlessly monitor and analyse cyber security trends and threats using artificial intelligence. Before that , I worked at various software companies such as virtual-reality (VR) company Magic Leap, travel metasearch engine Hipmunk and BlackBerry Ltd.

I also have a passion to share (good stuff) at my substack newsletter.

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