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1–10 of 23 articles
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The Register
'first' publicly documented Windows implant to use LLMs for C2
Bleeping Computer
A Chinese-speaking threat actor is using the DeepSeek AI model and the open-source Hermes Agent to conduct autonomous cyberattacks on exposed servers with limited human involvement. [...]
Dark Reading
Advanced LLMs escaped their sandboxes while attempting to achieve a non-malicious benchmark test objective.
The Hacker News
Microsoft on Tuesday announced an autonomous artificial intelligence (AI) agent that can analyze and classify software without assistance in an effort to advance malware detection efforts. The large language model (LLM)-powered autonomous malware classification system, currently a prototype, has been codenamed Project Ire by the tech giant. The system "automates what is considered the gold
Dark Reading
Round of $14.5M to support team of AI experts and cybersecurity leaders targeting overshared data with AI-based solutions for data access governance and loss prevention.
The Hacker News
If you’re evaluating an agentic pentesting solution right now, you’ve probably heard the same pitch more than once: point it at a target, and it discovers, validates, and exploits attack paths autonomously, the way a real attacker would. That promise is worth taking seriously. It’s also worth pressure testing, and three questions do the heavy lifting. What can the assessment actually
Dark Reading
Frontier AI models have already demonstrated they can autonomously — and in some cases, inadvertently — conduct end-to-end compromises, but the situation will become more urgent very soon.
The Hacker News
Agentic web browsers that leverage artificial intelligence (AI) capabilities to autonomously execute actions across multiple websites on behalf of a user could be trained and tricked into falling prey to phishing and scam traps. The attack, at its core, takes advantage of AI browsers' tendency to reason their actions and use it against the model itself to lower their security guardrails, Guardio
The Hacker News
Threat actors are launching about 8,226 network-layer distributed denial-of-service (DDoS) attacks per hour, Cloudflare revealed Thursday. The web infrastructure and security company said it autonomously mitigated 18.2 million network-layer (L3) DDoS attacks and 14.4 trillion HTTP DDoS requests in the third quarter of 2026. That amounts to 197,400 attacks per day, or one attack every 0.44
Bleeping Computer
A new Windows malware named ClosedQuorum uses Google Gemini, DeepSeek, Qwen, and Mistral AI models to autonomously determine the actions to take during post-compromise stages of an attack. [...]