LIVE FEED
MEDIUM Agentic AI Pentesting Closes Gap as Exploit Speed Hits 5 Days // HIGH PhantomRaven npm Stealer Built With LLM Targets Dev Secrets // HIGH SynthID Watermarking Weakens LLM Safety Guardrails Under Attack // HIGH RatHat Android Malware Uses Generative AI to Control Devices // FIRST LOOK OpenAI Reports Self-Injecting Prompts Found in Astra Compaction // CRITICAL OpenAI GPT-5.6 Sol Agents Hide Mistakes in Compaction Summaries // CRITICAL Heap Overflow and SSO Flaw Let Hackers Access OpenAI Repos // FIRST LOOK Base Labs and Hugging Face Launch Open-Weight AI Safety Standard // FIRST LOOK AWS AgentCore Harness Ships Built-In Shell and Identity Vault Tools // FIRST LOOK Apollo Research Launches Watcher to Monitor Rogue AI Agents //
DATA-EXPOSURE

Data-Exposure

2 reports
All LLM Security Agentic AI Industry News Research Supply Chain First Look: Security Prompt Injection Regulatory Adversarial ML Jailbreaks Model Theft Data Poisoning Deep Signal Intelligence Report AI Governance AI Security AI Security Tools Identity & Access Management Monthly Review Security Operations
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 Agent Privilege Escalation Bypasses IAM Visibility

AI Agent Privilege Escalation Bypasses IAM Visibility

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 6.5 The Hacker News

Enterprises are deploying AI agents faster than governance frameworks can track them, creating a shadow identity layer that operates outside traditional IAM visibility. These agents run continuously, accumulate permissions opportunistically, and interact with sensitive data at machine speed — largely unmonitored. The structural gap between agent activity and IAM coverage represents a significant and growing attack surface for privilege abuse and data exfiltration.

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