LIVE FEED
FIRST LOOK Microsoft MDASH Brings AI-Powered Windows Vulnerability Discovery // FIRST LOOK FableCut Ships AI-Drivable Browser Video Editor via MCP and REST // FIRST LOOK AI Agents Emerge as a New Identity Class Orgs Must Secure // HIGH CVE-2026-12958: GhostApproval Symlink Attack on Coding Agents // HIGH Prompt Injection Attacks Claude Code and Codex Execution // HIGH DPAPI Abuse in Claude Code and Cursor Triggers EDR // FIRST LOOK Y Combinator Ships Agentic Code Generation at 37K Lines Daily // HIGH Google Gemini Abused for Phishing-as-a-Service // CRITICAL Writer AI Session Token Leak Enables Account Takeover // MEDIUM Anthropic Mythos LLM Scans Federal Software for Vulnerabilities //
SHADOW-AI

Shadow-Ai

4 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
Orphaned AI Agents Bypass SailPoint Identity Controls

Orphaned AI Agents Bypass SailPoint Identity Controls

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 The Hacker News

Enterprises deploying internal AI agents face a growing identity accountability gap: when the employee who created an autonomous agent leaves, the agent's access tokens and credentials often remain active and unmonitored. Traditional access management tools fail to detect this risk because they treat AI agents as static software rather than identity-bearing entities capable of exfiltrating sensitive data. The problem compounds at scale as shadow AI deployments proliferate across organizations without centralised visibility or ownership tracking.

Shadow-AI Apps Expose Corporate Data via Misconfiguration

Shadow-AI Apps Expose Corporate Data via Misconfiguration

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 The Hacker News

A Red Access investigation found over 2,000 corporate applications built on AI-assisted 'vibe-coding' platforms publicly accessible on the open internet, many containing sensitive business data with no access controls. These shadow-built apps connect directly to production systems — CRMs, ERPs, BI tools — creating a new class of unaudited attack surface invisible to conventional security stacks. Traditional controls such as CASB, DLP, and EDR are structurally blind to this threat because the risk originates at the application layer, not the identity or network layer.

AI Browser Extensions 60% Riskier Than Standard Tools

AI Browser Extensions 60% Riskier Than Standard Tools

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.5 The Hacker News

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.

Shadow AI Governance Threats Across SaaS and Cloud Endpoints

Shadow AI Governance Threats Across SaaS and Cloud Endpoints

ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 6.5 CrowdStrike Blog

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.

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