The Ouroboros Effect: What Happens When AI Trains On Insecure AI-Generated Code?

Organizations need to break the infinite renewal cycle of AI learning from the flawed data of previous AI models.

Chinese AI models raise ‘sleeper agent’ fears after report finds more vulnerable code for US users

Booz Allen report warns Chinese AI models like DeepSeek and Qwen may produce more vulnerable code for U.S. government users, ...
Microsoft

Beyond the benchmark: Advancing security at AI speed

Read how Microsoft Security has advanced its agentic vulnerability detection system, codename MDASH, integrating into ...
CoinDesk

AI is making crypto security cheaper, faster and harder to ignore

As AI-powered security tools become cheaper, faster and more widely available, researchers said they could reshape what the ...
Dark Reading

Claude Code Security Shows Promise, Not Perfection

Claude Code Security made a big splash when it was introduced last week, but it may be too early to call it as disruptive as the markets suggested. Anthropic unveiled Claude Code Security on Feb. 20, ...
InfoWorld

Meet Hades: The malware that lies to AI security agents

Researchers have uncovered a supply-chain attack that hides in Python packages, propagates like a worm, and tricks LLM-based ...

The ‘Miasma’ worm source code briefly leaked on GitHub

The Miasma credential-stealing attack framework, which has recently targeted open-source ecosystems through supply-chain ...