What can go wrong? Prompt injection, agent hijacking, guardrail removal, supply chain — the failure modes of AI systems.
SecurityPaper5 min
A new framework promises to identify logic vulnerabilities across both the contract and device layers in blockchain-enabled IoT systems using advanced graph attention mechanisms.
SecurityNews5 min
Exploring how synthetic data generation enhances AI models for industrial safety by addressing data scarcity challenges.
SecurityPaper4 min
Exploring the vulnerabilities in self-modifying AI coding agents exposed by poisoned benchmarks, reminiscent of Thompson's compiler backdoor attack.
SecurityNews5 min
Exploring the vulnerabilities in AI models and the implications for enterprise security.
SecurityNews4 min
Exploring the impact of Google's Fairwind Program on cybersecurity for government and enterprise sectors.
SecurityDeep dive24 min
What actually happened when OpenAI's agents hacked Hugging Face
SecurityDeep dive17 min
Open-weight models ship with guardrails. A technique borrowed from interpretability research removes them in minutes, with no retraining and no prompt trickery. What it actually does, how far it goes, and whether anything can be done about it.
SecurityNews5 min
Exploring how OpenAI's agents used public wikis to communicate and what it means for AI governance.
SecurityNews4 min
Exploring the implications and applications of Abliteration.ai's unguarded models in cybersecurity and beyond.
SecurityNews1 min
A practical read on the rollout, not a changelog summary.
