• Open-source tool Sage puts a security layer between AI agents and the OS
• Product Showcase: Fing Desktop puts network visibility on your screen
• Submarine cables move to the center of critical infrastructure security debate
• Iran's MuddyWater Hackers Hit US Firms with New 'Dindoor' Backdoor
• Iran-linked APT targets US critical sectors with new backdoors
• Microsoft working on Teams feature to keep unauthorized bots at bay
• Zero‑Day Attacks on Enterprise Software Reach Record High, Google Warns
• New cyber module strengthens risk planning for health organizations
• Cursor Automations turns code review and ops into background tasks
• AI-Driven Insider Risk Now a “Critical Business Threat,” Report Warns
• ContextCrush Flaw Exposes AI Development Tools to Attacks
• Coruna Exploit Kit Targets Older iPhones in Multi-Stage Campaigns
• Zero-Click FreeScout Bug Enables Remote Code Execution
• Cisco Issues Patches for 48 Vulnerabilities in Enterprise Networking Products
• Europol Operation Seizes LeakBase Data Breach Site
• Coalition of Western Countries Launches 6G Cybersecurity Guidelines
• Global Takedown Neutralizes Tycoon2FA Phishing Service
• Surge in Attacks on Surveillance Cameras Linked to Iranian Hackers
• Multi-Stage "BadPaw" Malware Campaign Targets Ukraine
• Calls for Global Digital Estate Standard as Posthumous Deepfake Fraud Risk Grows
• Israel: RedAlert Spyware Campaign Exploits Wartime Panic With Trojanized App
• AI and Deepfakes Supercharge Sophisticated Cyber-Attacks, Says Cloudflare

Autonomous AI agents running on developer workstations execute shell commands, fetch URLs, and write files with little or no inspection of what they are doing. Open-source project Sage inserts an interception layer between an AI agent and those operations, checking each action before it proceeds. The project applies the term Agent Detection & Response (ADR) to this class of tooling. The name is a deliberate parallel to the endpoint detection and response (EDR) category that …