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Part 6 of a series on building reliable AI systems In the previous parts of this series, we explored: Testing AI systems Evaluation pipelines RAG evaluation Agent reliability...
As organizations continue adopting AI across business operations, security concerns are becoming harder to ignore. Red teaming has emerged as an important way to evaluate how AI sy...
A first-of-its-kind security analysis of 12 widely deployed agentic offensive-security tools reveals critical architectural flaws that allow adversaries to steal LLM API keys, esta...
ASAPP announced the launch of Continuous Red Teaming, a new capability that integrates adversarial AI testing directly into ASAPP's model evaluation
The most dangerous moment in AI governance is not when a model fails in an obvious way. It is when the organisation continues to believe the controls are working while the model ha...
OpenAI: OpenAI details GPT-Red, an internal automated red-teaming model that scales prompt injection vulnerability discovery so it can fix bugs before wider deployment — Training...
Agentic red-team tools designed for autonomous offensive security operations are themselves vulnerable, allowing attackers to steal API keys, weaponize the agents, escape sandboxes...
A fork of the original HexStrike AI project has been released as HexStrike AI v6.0, an advanced Model Context Protocol (MCP)-based cybersecurity automation framework that merges 12...
People trust their AI assistants and it's easy to abuse this trust
LLM applications do not fail like traditional software. A normal web application usually follows deterministic code paths.
I built an AI that pentests my AI — and forced it to prove every exploit Point an LLM at your own system and tell it to "find security vulnerabilities" and you'll get a page of...
EIELSON AIR FORCE BASE, Alaska — In the brisk Alaskan air, on a steep hillside overlooking the vast terrain, U.S. Army Special Forces Soldiers assigned to 3rd Special Forces Group...
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