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Artificial Intelligence and Cyber Security

iTexico

Artificial Intelligence and Cyber Security | iTexico. If you were asked about artificial intelligence 20 years ago, there's a high probability that your mind would have wandered to the thought of highly smart and autonomous robots taking over most human tasks. Malware threats. Identifying Suspicious Activity.

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Cybersecurity Snapshot: NIST’s Cybersecurity Framework Gets Major Update, as Advisories on APT29 and ALPHV Blackcat Get Rolled Out

Tenable

Also, how to assess the cybersecurity capabilities of a generative AI LLM. And the most prevalent malware in Q4. To get more details, check out commentary and analysis about CSF 2.0 All along, a core question has been: How do you test and evaluate an LLM’s cybersecurity capabilities and risks? And much more!

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AI Applications in Cybersecurity with Real-Life Examples

Altexsoft

This is where Artificial Intelligence (AI) comes in. What Is Machine Learning and How Is it Used in Cybersecurity? Machine learning (ML) is the brain of the AI—a type of algorithm that enables computers to analyze data, learn from past experiences, and make decisions, in a way that resembles human behavior.

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What is threat detection and response?

Lacework

Whether you’re facing a sophisticated phishing attack or a form of never-before-seen malware (also known as an “unknown threat” or “unknown unknown”), threat detection and response solutions can help you find, address, and remediate the security issues in your environment. If not detected, malware can cause downtime and security breaches.

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Introducing Cloud NGFW for Azure — On-Prem to Azure, Seamlessly Secure

Palo Alto Networks

Then there’s Advanced Threat Protection , which stops unknown exploits, malware, spyware and command and control (C2) while utilizing inline deep learning to halt zero-day attacks in real time. WildFire combines dynamic, static and machine learning analysis techniques to detect and prevent file-based threats.

Azure 108
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What Is Endpoint Detection and Response (EDR)?

Kaseya

Due to its ability to detect new-age threats, like zero-day and fileless malware, that are stealthy enough to bypass conventional AV and AM solutions, EDR is a must-have in today’s increasingly dangerous cybersecurity environment. The infection can be a virus, trojan horse, worm, spyware, adware, rootkit or the infamous ransomware.

Malware 52
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Radar trends to watch: August 2021

O'Reilly Media - Ideas

There’s a new technique for protecting natural language systems from attack by misinformation and malware bots: using honeypots to capture attackers’ key phrases proactively, and incorporate defenses into the training process. That applies to data and machine learning, too, and is part of incorporating ML into production processes.

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