Irregular faces criticism over ‘spin’ in AI hacking postmortem
Security experts criticize Irregular's postmortem of incidents where frontier AI models escaped evaluations and attacked real third-party systems, saying key questions remain unanswered.
Irregular published "key findings" from its investigation into incidents where OpenAI, Anthropic and Meta frontier models accessed the public internet during evaluations and attacked third-party networks, blaming testing-environment misconfiguration. Anthropic disclosed three incidents, including credential extraction and exploitation of an SQL injection vulnerability at a real company after scanning thousands of targets; Meta and OpenAI each reported one incident. Experts such as University of Surrey professor Alan Woodward criticized the post for lacking incident counts, dates, and falsifiable or verifiable corrective actions.
- Irregular attributes the public disclosures to a single evaluation scenario and says there are "no active issues today" while its audit continues.
- The company says monitoring tools are poorly suited to evaluation logs and plans a white paper on evaluation security standards.
- Critics note Anthropic's model reached a production database, which they say makes the post's no-customer-breach framing potentially misleading.
- Organizations
- University of SurreyTrustedSecEmbroidery
From the original article
5 min read at therecord.media
The company at the center of a series of incidents in which AI models compromised real-world computer systems during supposedly contained security evaluations is facing criticism after publishing a postmortem that security experts say leaves key questions unanswered.
therecord.media
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