AI-powered penetration testing is an advanced approach to security testing that uses artificial intelligence, machine learning, and autonomous agents to simulate real-world cyberattacks, identify ...

IoT penetration testing is a security assessment of the complete IoT ecosystem, from backend systems and cloud services to mobile devices and hardware. It involves a multi-stage simulated attack on ...

Anthropic's latest AI model has found more than 500 previously unknown high-severity security flaws in open-source libraries ...

Kali Linux vs. Parrot OS: Which security-forward distro is right for you?

Crowdsourced bug bounties and pen-testing firms see AI agents stealing low-hanging vulns from their human counterparts, but oversight remains key.

Discover the top 10 AI red teaming tools of 2026 and learn how they help safeguard your AI systems from vulnerabilities.

HACKBOX.AI is built on a multi-agent collaborative architecture, designed to simulate attackers’ tactics and pathways. The ...

Threat actors are exploiting the Metro4Shell React Native vulnerability to deploy malware on Linux and Windows systems.

Malwarebytes urged companies to adopt continuous monitoring and lock down identity systems as AI models get better at ...

The preprint, To Defend Against Cyber Attacks, We Must Teach AI Agents to Hack, released on arXiv, challenges the prevailing ...

Learning at work has changed. A review of Learn Like a Lobster explains why growth now happens through discomfort, everyday ...

Aisy emerged from stealth with $2.3 million seed funding for vulnerability management and threat prioritization platform.