Policy Brief: Friendly Fire
Topline Summary AI Now’s latest research demonstrates a critical attack vector on popular AI agents, built by Anthropic and OpenAI, when used for defensive purposes that actually turn the agent against its user. Attackers can use these models’ existing weaknesses to execute malicious code on a system deploying an AI agent when used for often-advertised […] The post Policy Brief: Friendly Fire appeared first on AI Now Institute .
Record details
Published: 8 July 2026
Source: AI Now Institute
Category: Field notes
Topics: Regulation · Agents & autonomy
Retrieved: 14 July 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
Friendly Fire: Hijacking Defensive Cyber AI Agents for Remote Code Execution
AI Now Institute · 8 July 2026
Double Agents: Defensive AI Agents Magnify Cyber Risks
AI Now Institute · 8 July 2026
Four AI Escapes Just Redefined “Responsible AI”
Forrester AI blog · 7 August 2026
'AI Kill Switch' bill needs to be passed this year amid ongoing rogue agent hacks, Rep. Lieu says
CNBC Technology · 6 August 2026
AI Safety Regulations in the U.S. Could Give Hackers an Edge
IEEE Spectrum · 6 August 2026
The Missing Rival: China and the Limits of AI Antitrust
Truth on the Market (digital regulation) · 17 July 2026
How to cite this record
ethics.ai (8 July 2026), “Policy Brief: Friendly Fire,” evidence record 1620, https://ethics.ai/record/1620 (originally published by AI Now Institute).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.