• Product showcase: Doppler secures secrets for humans, pipelines, and AI agents
• Microsoft’s Project Zenith puts large AI models directly on developer PCs
• Hackers exploit RouterOS flaws to hijack MikroTik devices without authentication
• NCSC Warns Shadow AI Creates New Security Risks
• N-able Releases Hotfix for Critical Remote Code Execution Vulnerability
• Rhysida Publishes Berlin Government Data After €2m Extortion Demand Refused
• N-able patches critical N-central zero-day exploited in the wild (CVE-2026-86218)
• North Korea’s Lazarus Operates Through Six Distinct Cyber Clusters
• Attackers use rogue ScreenConnect clients to spread malware
• Multiple Class Action Lawsuits Filed Against IDScan
• OpenAI just hit a milestone on the road to self-improving AI
• Researcher Publishes CrowdStrike Privilege Escalation Zero Day
• ToolHive: The open-source way to run any MCP server securely
• Zero trust AI agents demand a different kind of security
• OpenAI Pledges $1bn to Bring its AI Cybersecurity Tools to Essential Services
• G7 Urges Fast-Track on Quantum-Safe Cybersecurity Rules
• Pegasus Zero-Click Exploit Infects Serbian Student Activist's iPhone
• Outsider Phishing Kit Survives Takedown With 700 New Pages
• CREST Onboards First Cohort for AI-Enabled Pentesting Accreditation
• US and Canadian Court Records Breached Following Thomson Reuters Incident
• FBI Probes Possible Breach of 153 Million Driver’s Licenses
• International Operation Disrupts Sality P2P Botnet
• Gambling Goblin Turns Brazilian Government Sites Into SEO Weapons

Every engineering team has spent years trying to keep credentials out of source code. Then AI agents moved the problem. Coding agents review code, agents run workflows, and MCP servers broker access to databases, cloud providers, and internal APIs on a developer’s behalf. For every engineer on a team, there are now dozens of automated identities that need secrets too, and each one is another place a credential can leak. AI agents have accelerated code …