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127 articles published

April 10, 2026

Can Anthropic Keep Its Exploit-Writing AI Out of the Wrong Hands?

ATLAS OWASP HIGH ▲ 8.2 Dark Reading Apr 10, 2026

Anthropic has released a preview of 'Mythos,' an AI model reportedly capable of autonomously discovering and exploiting critical zero-day vulnerabilities, raising significant dual-use concerns. While Anthropic claims the model ships with access controls, the security community is scrutinising whether those safeguards are sufficient to prevent misuse by malicious actors. The development represents a pivotal moment in the arms race between offensive AI capabilities and defensive governance frameworks.

AML.T0047 - ML-Enabled Product or Service AML.T0054 - LLM Jailbreak AML.T0044 - Full ML Model Access AML.T0051 - LLM Prompt Injection AML.T0040 - ML Model Inference API Access

Browser Extensions Are the New AI Consumption Channel That No One Is Talking About

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.

AML.T0057 - LLM Data Leakage AML.T0047 - ML-Enabled Product or Service AML.T0010 - ML Supply Chain Compromise AML.T0051 - LLM Prompt Injection AML.T0040 - ML Model Inference API Access

April 09, 2026

Process Manager for Autonomous AI Agents

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.

AML.T0051 - LLM Prompt Injection AML.T0047 - ML-Enabled Product or Service AML.T0010 - ML Supply Chain Compromise AML.T0057 - LLM Data Leakage AML.T0040 - ML Model Inference API Access

April 06, 2026

AI-Assisted Supply Chain Attack Targets GitHub

ATLAS OWASP HIGH ▲ 7.5 Dark Reading Apr 06, 2026

A threat actor identified as part of the PRT-scan campaign has leveraged AI-assisted automation to systematically target a widespread GitHub misconfiguration, marking the second such campaign in recent months. The use of AI for automated reconnaissance and exploitation of supply chain vulnerabilities represents a significant escalation in attacker capability. This campaign highlights the growing risk of AI-augmented attacks against software supply chains, which can have cascading downstream effects on ML pipelines and production systems.

AML.T0010 - ML Supply Chain Compromise AML.T0047 - ML-Enabled Product or Service

New CrowdStrike Innovations Secure AI Agents and Govern Shadow AI Across Endpoints, SaaS, and Cloud

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.

AML.T0047 - ML-Enabled Product or Service AML.T0051 - LLM Prompt Injection AML.T0057 - LLM Data Leakage AML.T0040 - ML Model Inference API Access

How Charlotte AI AgentWorks Fuels Security's Agentic Ecosystem

ATLAS OWASP MEDIUM ▲ 6.5 CrowdStrike Blog Apr 06, 2026

CrowdStrike's Charlotte AI AgentWorks introduces an agentic security ecosystem where autonomous AI agents collaborate to perform security operations tasks with reduced human intervention. The platform raises important considerations around excessive agency, trust boundaries between agents, and the attack surface introduced by interconnected AI systems in security-critical environments. As agentic SOC architectures proliferate, the security of the AI agents themselves becomes a primary concern.

AML.T0047 - ML-Enabled Product or Service AML.T0051 - LLM Prompt Injection AML.T0040 - ML Model Inference API Access

April 03, 2026

Claude Source Code Leak Highlights Big Supply Chain Missteps

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.

AML.T0010 - ML Supply Chain Compromise AML.T0044 - Full ML Model Access AML.T0056 - LLM Meta Prompt Extraction AML.T0018 - Backdoor ML Model AML.T0031 - Erode ML Model Integrity