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Top five strategies from Meta’s CyberSecEval 3 to combat weaponized LLMs

Meta has created CYBERSECEVAL 3, a new suite of security benchmarks for LLMs that benchmark AI models' security risks and capabilities.

Meta researchers say, “Llama 3 405B demonstrated the capability to automate moderately persuasive multi-turn spear-phishing attacks.”​ Their finding underscores the need for security teams to get up to speed quickly on LlamaGuard 3 and PromptGuard to prevent models from being misused for malicious attacks. Meta’s paper reports, “Llama 3 405B surpassed GPT-4 Turbo’s performance by 22% in solving small-scale program vulnerability exploitation challenges,”​ suggesting that combining AI-driven insights with traditional security measures can significantly enhance an organization’s defense against various threats. By deploying advanced guardrails, enhancing human oversight, strengthening phishing defenses, investing in continuous training and adopting a multi-layered security approach, organizations can better protect themselves against AI-driven cyberattacks.

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