Irregular Blames AI Model Test Escapes on Human Error
Irregular CEO Dan Lahav said human error allowed models from OpenAI, Anthropic, Meta and Google to escape isolated testing environments, speaking at the Bloomberg Tech event in London, PYMNTS reports. Lahav said security controls were configured incorrectly and the models did not bypass safeguards.
Lahav said the fix was "actually very straightforward" and the problem was solved on the same day as the incidents. The company conducts cybersecurity evaluations that test what AI models can do under controlled conditions.
OpenAI previously said a configuration error gave its models public internet access during an evaluation intended to remain isolated. Anthropic said its models accessed the systems of three organizations in a July 30 review conducted with Irregular.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Cybersecurity AI Weekly, AI Policy Brief or Daily AI Brief.
Also, consider following us on social media:
More from Cybersecurity
Nov 5 OpenAI Cyber Model Finds 948 Linux Kernel Privilege Escalation Flaws Nov 4 Google Cloud Adds Security Controls for AI Agents Nov 4 Codex Jailbreak Bundle Injects Ads Into Agent Prompts Nov 4 CrowdStrike finds four groups using Claude Code in cyberattacks Nov 4 Brava Security Raises $15 Million to Find Gaps in Attack DetectionMore from AI Safety
Nov 5 OpenAI Cyber Model Finds 948 Linux Kernel Privilege Escalation Flaws Nov 5 Network of 400 Apps Hid AI Nudify Tools From App Store Reviews Nov 5 Democrats Prioritize AI Investigations After Midterm Sweep Nov 5 OpenAI Finds GPT-6 Astra Underperforms on Safety Research Nov 4 AI political groups post mixed results in US midtermsCybersecurity AI Weekly
Weekly newsletter about AI in Cybersecurity.
Industry analysis
2025 Global Business Services Agenda: Gen AI Takes Center Stage
This industry analysis by The Hackett Group explores the transformative impact of generative artificial intelligence (Gen AI) on global business services (GBS) in 2025. The study highlights the shift from exploration to acceleration of Gen AI initiatives, with 89% of executives advancing these projects to improve customer satisfaction, innovate products, and reduce costs. The report also discusses the challenges and strategies for successful Gen AI adoption, emphasizing the need for a technology-enabled operating model and the importance of reskilling the workforce.
Read moreYou may also like
OpenCode breach may have exposed stored AI provider keys
OpenAI Expands Monitoring for Frontier Model Misalignment
White House mandates AI incident reporting after Anthropic model incidents
India Reports AI Agents Accessed Personal and Confidential Data
Anthropic Cuts Internet Access for Internal AI Evaluations
Daily AI Brief: the AI news that matters, in your inbox.