Source link : https://tech365.info/introducing-the-cisco-llm-safety-leaderboard-bringing-transparency-to-ai-safety/
This weblog is collectively written by Arjun Sambamoorthy, Amy Chang, and Nicholas Conley.
Right now, Cisco launched the LLM Safety Leaderboard, a complete useful resource for evaluating mannequin safety danger and susceptibility to adversarial assaults. By offering clear, adversarial analysis indicators, this leaderboard contextualizes mannequin efficiency metrics in opposition to evaluations of how fashions deal with malicious prompts, jailbreak makes an attempt, and different manipulation methods. The software empowers organizations with a transparent, goal understanding of mannequin safety danger by mapping threats to our AI Safety and Security Framework taxonomy, and informs defense-in-depth approaches to AI deployments. As new fashions emerge and assault methods evolve, we’ll proceed increasing our analysis protection, refining our methodology and including fashions as they’re launched. Your suggestions and engagement to enhance this software are welcome and inspired.
The Cisco LLM Safety Leaderboard offers:
Goal safety rankings based mostly on rigorous testing throughout single-turn and multi-turn assault situations
Detailed menace mappings aligned to the Cisco AI Safety Framework
Clear methodology so organizations can perceive precisely what’s being measured
Why Safety Efficiency Issues
The speedy adoption of enormous language fashions (LLMs) has created an pressing want for standardized safety analysis in opposition to real-world…
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Author : tech365
Publish date : 2026-03-23 14:17:00
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