While the world watches for Llama 5, Meta has silently upgraded the shield that protects it. Our Repo Watch bots detected a massive merge into the `purple-llama` repository early this morning, tagged simply as "v3.0-release".
What We Found in the Code
Purple Llama 3 isn't just a patch; it's a complete overhaul of how Meta evaluates AI safety. The standout feature is CyberSec Eval 3, a suite of tools designed to simulate sophisticated cyberattacks launched by AI models against infrastructure.
New Capabilities Detected:
- Autonomous Red Teaming: Agents that try to "break" other models without human intervention.
- Code Injection Detection: Advanced scanners for subtle vulnerability insertions in generated code.
- Social Engineering Simulator: Tests a model's susceptibility to complex phishing narratives.
Why Silence?
Releasing security tools quietly is a common tactic to allow "white hat" researchers to test them before bad actors reverse-engineer the safeguards. By pushing this to GitHub without fanfare, Meta is arming the open-source community with defense tools before the next wave of generative AI attacks begins.
The "CyberSec Eval" Standard
The documentation within the repo suggests that Meta is positioning this as the industry standard. If your model can't pass CyberSec Eval 3, it might soon be considered "unsafe for enterprise deployment."
"We are moving from 'safety filters' to 'active defense systems'. Purple Llama 3 represents the shift to AI that can self-police."
- Comment found in `security_policy.md` commit