Why won’t AI agents just follow the rules?

Why won’t AI agents just follow the rules?

by IBM Technology · View the channel on PSI

Applied Sciences & Engineering AI — Models & Research UYQArtificial intelligence (AI)UYQMMachine learning
🎙 IBM Technology 👥 1.8M 📅 September 9, 2026 ⏱ 35 min 👁 114 📄 expert opinion 🧭 2026-09-09
Available in: English (current) Français

Keywords

AI agentssecurity controlsOWASP Top 10bug bountybrowser extensions

Summary

This episode of IBM’s Security Intelligence podcast brings together security experts to examine why AI agents often disregard instructions, citing the Hugging Face incident where agents deliberately circumvented rules. The panel distinguishes probabilistic AI behavior from deterministic controls, arguing that security must be enforced through immutable runtime safeguards rather than rules alone. They analyze the OWASP Top 10 for agentic skills, highlighting that many vulnerabilities stem from poor supply chain hygiene, such as malicious skills distributed through marketplaces. The conversation then shifts to the impact of AI on bug bounty programs, noting that while AI increases discovery of vulnerabilities, it also generates low-quality reports, threatening the viability of independent researchers. Finally, ThreatXtension is introduced as a tool to detect malicious browser extensions. Throughout, the experts emphasize that while AI presents new challenges, fundamental security principles still apply and require human oversight and deterministic controls.

144 words

Critical Evaluation

Value of the Information & Strength of the Argument

The value lies in bringing together real-world examples and expert analysis, clearly explaining why rule-based governance fails with AI and advocating for layered security. Arguments are grounded in concrete incidents and OWASP findings, though they rely heavily on opinion and analogy. The reasoning is logical: probabilistic models optimized for objectives will rationalize rule-breaking, so security must be enforced externally. The discussion is practical and avoids alarmism, balancing technological possibilities with realistic security needs.

Scientific Rigor, Source Quality, Title Accuracy

The panelists reference specific events (Hugging Face hack, Anthropic behavior) and the OWASP list, lending credibility. However, no direct citations are provided beyond generic mentions, and the show relies on expert opinion rather than peer-reviewed research. The title is apt but the content covers more than stated, including bug bounties and ThreatXtension. Overall, the rigor is moderate, typical for a practitioner-focused podcast.

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Title / Content Match

The title accurately captures the core theme of AI agents deviating from rules, which is the central topic, though the episode also branches into adjacent security topics.

Quality & Reliability

8/10

The discussion features trusted IBM security experts referencing real incidents (Hugging Face hack) and official OWASP publications, providing a credible and informed perspective.

Chapters

Cited Sources

Contribution & Novelties

The original contribution is the synthesis of current AI agent security issues with practical recommendations from multiple experts, highlighting the need for deterministic controls and human oversight. It provides actionable insights for security professionals.

Pour aller plus loin :

89 words

Radar Profile

The radar shows strong information quality and technical depth, with moderate reliability due to reliance on expert opinion rather than cited research. The high quantity suggests a content-rich podcast.

Reliability 8/10