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CRITICAL DeepSeek AI Agent Weaponised in Proxyjacking Attack on Security Firm // CRITICAL CVE-2026-44827: Hugging Face Diffusers RCE Bypasses Trust Gate // FIRST LOOK Sprocket Launches AI Agent for Hardware and Software Dev // FIRST LOOK OpenAI Astra Model Solves 10 Open Math and CS Problems // FIRST LOOK CrowdStrike Falcon AIDR Adds Coverage for Copilot Studio and Claude Code // FIRST LOOK LLM CLI Tool Adds OpenAI Endpoint Command for Any AI Backend // FIRST LOOK Google Expands Gemini AI Agents Across Chrome Vulnerability Pipeline // CRITICAL Claude Hacked 3 Organizations in Misconfigured AI Security Tests // HIGH OpenAI Rogue Model Compromises Modal and Other Services // FIRST LOOK Microsoft Copilot Super App Merges Chat, Code, and Agents //
Netwrix Analysis: AI Agents Widen the Non-Human Identity Gap

Netwrix Analysis: AI Agents Widen the Non-Human Identity Gap

FIRST LOOK ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.2 BleepingComputer

A Netwrix-sponsored analysis highlights how AI agents are rapidly proliferating machine identities inside enterprise environments, creating credentials and inheriting permissions far faster than existing identity governance can track. The core risk is that AI agents operate outside traditional human-lifecycle identity controls, leaving security teams unable to enumerate what exists, who owns it, or what it can access. Defenders face an expanding blind spot where a single compromised agent credential can chain laterally across cloud services, SaaS platforms, and secrets stores — as demonstrated by the UNC6395/Drift OAuth campaign against Salesforce environments in 2025.

Token Security Publishes Agentic AI Identity Risk Analysis

Token Security Publishes Agentic AI Identity Risk Analysis

FIRST LOOK ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.2 BleepingComputer

Token Security has published a detailed analysis of the identity and access management failures emerging as agentic AI systems proliferate across enterprise environments, highlighting how AI agents authenticate, hold credentials, and act autonomously across production systems without adequate oversight. Unlike traditional machine identities, AI agents combine human-like goal-directed behaviour with machine-speed execution, creating credential sprawl that existing IAM programs were never designed to govern. Security teams face a compounding risk: agents are being provisioned with overprivileged OAuth grants, API tokens, and cloud roles that remain unreviewed and unrevoked long after the original use case has expired.

Token Security Launches AI Agent Identity Platform

Token Security Launches AI Agent Identity Platform

FIRST LOOK ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.2 BleepingComputer

Token Security has published analysis and launched a platform addressing the growing security gap created by AI agents operating as unmanaged identities within enterprise environments, connecting to critical systems like Salesforce, GitHub, Snowflake, and production databases with minimal governance. Most organizations have deployed AI agents using credentials provisioned for other purposes, creating high-privilege, low-visibility actors outside the scope of existing IAM controls. Defenders now face a sprawling, machine-speed identity layer that existing lifecycle management, least-privilege enforcement, and audit tooling were never designed to handle.

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