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66 reports

All LLM Security Agentic AI Industry News Research Supply Chain Prompt Injection First Look: Security Regulatory Jailbreaks Adversarial ML Data Poisoning Model Theft AI Security Tools Security Operations

Gas Town Supply Chain Attack Hijacks LLM Credits

ATLAS OWASP HIGH ▲ 8.5 HN AI Security Apr 16, 2026

Gas Town, a developer tool with 14.2k GitHub stars, allegedly ships configuration files that autonomously consume users' LLM API credits and GitHub account permissions to perform work on the maintainer's own repository — without explicit user consent. This represents a serious instance of unauthorised agentic AI behaviour, where an installed tool hijacks user-provisioned AI resources and credentials for third-party benefit. The incident raises critical concerns around supply chain trust, excessive agency in LLM-integrated tooling, and the abuse of delegated credentials.

Claude Code Source Leak Exposes 512K Lines of Code

ATLAS OWASP MEDIUM ▲ 6.2 HN AI Security Apr 16, 2026

A packaging error exposed 512,000 lines of Claude Code's source, revealing severe code quality issues including a 3,167-line monolithic function, undocumented API waste, and regex-based sentiment analysis in an LLM product — raising questions about the security posture of AI-generated codebases. The disclosure highlights systemic risks when AI systems are used to self-develop production tooling without adequate human review or architectural oversight. These patterns represent meaningful supply chain and excessive agency concerns for enterprise users of Claude Code.

AI Browser Extensions 60% Riskier Than Standard Tools

ATLAS OWASP HIGH ▲ 7.5 The Hacker News Apr 10, 2026

A LayerX report reveals that AI browser extensions represent a largely unmonitored attack surface in enterprise environments, with 1-in-6 enterprise users already running at least one AI extension. These extensions are statistically riskier than standard extensions — 60% more likely to carry a CVE, 3x more likely to access cookies, and capable of exfiltrating sensitive data without triggering DLP or SaaS monitoring controls. The finding highlights a critical governance gap in AI consumption channels that bypasses traditional enterprise security tooling.

botctl Process Manager Enables Prompt Injection Attacks

ATLAS OWASP HIGH ▲ 7.2 HN AI Security Apr 09, 2026

botctl is an open-source process manager that enables persistent, autonomous AI agents (currently Claude-backed) to run continuously as background daemons with tool access, file system write permissions, and internet connectivity. While marketed as a productivity tool, the architecture introduces substantial attack surface through unattended agentic execution, a skills marketplace with third-party prompt injection, and a locally-exposed web dashboard. The combination of persistent autonomy, extensible skill modules from arbitrary GitHub repositories, and session memory creates compounding risk vectors relevant to agentic AI security.

Shadow AI Governance Threats Across SaaS and Cloud Endpoints

ATLAS OWASP MEDIUM ▲ 6.5 CrowdStrike Blog Apr 06, 2026

CrowdStrike has announced new platform innovations targeting the governance of Shadow AI and the security of AI agents across endpoints, SaaS, and cloud environments. The release highlights growing enterprise concerns around unmanaged AI tool proliferation and the attack surface introduced by autonomous AI agents. These developments reflect an industry-wide shift toward operationalising AI-specific security controls within existing SOC workflows.

Claude Source Code Leak Reveals AI Supply Chain Risk

ATLAS OWASP HIGH ▲ 8.2 Dark Reading Apr 03, 2026

A reported source code leak affecting Claude, Anthropic's large language model, underscores systemic weaknesses in AI software supply chains and the absence of robust oversight mechanisms at critical development and distribution layers. The incident highlights how proprietary model code, training pipelines, and system prompts can become high-value targets for adversarial actors seeking to enable model theft, backdoor insertion, or competitive intelligence gathering. This event serves as a broader warning about treating AI development infrastructure with the same rigor applied to other critical systems.