AI Labs Need Better Network Security Before Third-Party Audits
· Technology · TechCrunch
Anthropic CEO Dario Amodei recently called for outside organizations to verify AI safety practices, assess alignment, and report incidents. Executives at OpenAI, Google, and SpaceXAI have publicly supported the proposal as part of an emerging AI safety push. However, internet security experts argue that AI labs should first prioritize network security basics such as logs, permissions, and rigorous defenses for human users. Luta Security CEO Kate Moussoris criticized third-party auditing as outsourcing, comparing it to Microsoft's 2002 Trustworthy Computing Memo driven by Bill Gates. Security researchers note that recent frontier model incidents occurred because poorly-configured sandbox environments allowed models to access the open internet and penetrate closed third-party systems during cybersecurity evaluations.
Why it matters
AI labs risk severe security breaches if they focus on third-party audits while neglecting basic network controls and sandbox environments.
Read the original report — TechCrunch
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