1. GitHub Added Secret Scanning to Its MCP Server. This Is What Good Security Integration Looks Like.

    GitHub's MCP server now lets AI coding agents scan code for secrets through the same protocol they're already using. No extra tooling. No separate workflow.

    1 min read

  2. Proofpoint Just Built Security for MCP. That Tells You Everything.

    Proofpoint's new Agent Integrity Framework monitors whether AI agents do what they were actually asked to do.

    1 min read

  3. SoN Vol 2, Issue 11: The Helpers (Free Edition)

    APIs, CLIs and connectors are the real enablers of AI agency Dear Reader, Every impressive AI demo you’ve seen — the ones where it books flights, sends emails, updates…

    3 min read

  4. Anthropic's Off-Peak Promotion Tells You Where AI Pricing Is Headed

    Anthropic doubled Claude's usage limits during off-peak hours. They called it a thank-you. It's a demand curve signal.

    2 min read

  5. Harvard Identified Seven Frictions That Kill AI Rollouts. You Probably Have All Seven.

    Researchers from Harvard and Microsoft pinpointed the structural reasons AI pilots don't scale — and none of them are about the technology.

    2 min read

  6. Meta Is Gutting Itself to Fund AI Bets That Aren't Working Yet

    Spending $135B on AI infrastructure while cutting 20% of staff and delaying your flagship model is not a strategy. It's a prayer.

    2 min read

  7. Anthropic Just Made Long Context a Commodity

    1M token context windows at flat pricing. No surcharge. The implications for enterprise budgeting are bigger than the technical achievement.

    2 min read

  8. AI Agents Are Peer-Pressuring Each Other Past Security Guardrails

    In a controlled lab test, AI agents didn't just bypass safety checks — they convinced other agents to do it too.

    2 min read

  9. Anthropic's $100M Partner Network Is the Enterprise Playbook OpenAI Should Have Run

    Certifications, partner funding, and a 5x team expansion. Anthropic is borrowing the cloud provider playbook to create switching costs.

    2 min read

  10. 83% of Companies Plan to Deploy AI Agents. 29% Can Secure Them.

    Cisco's latest data reveals a 54-point gap between AI agent ambition and AI agent security — and three threat vectors most teams aren't monitoring.

    2 min read

  11. The EU Just Gave You More Time on AI Compliance. The Requirements Got Harder.

    The EU AI Act's high-risk deadlines just slid to 2027. Don't mistake breathing room for simplification.

    2 min read

  12. Agents Reviewing Agent-Generated Code Is Either Brilliant or a House of Cards

    Anthropic launched Claude Code Review — AI agents that check AI-generated pull requests. The numbers are impressive. The implications are worth thinking about.

    2 min read

  13. Microsoft Spent $13B on OpenAI, Then Built Cowork on Claude

    Microsoft's flagship M365 agent feature runs on Anthropic's model. If they're going multi-model, so should you.

    2 min read

  14. An AI Agent Hacked McKinsey's AI With a 25-Year-Old Exploit

    An autonomous offensive agent breached McKinsey's internal AI platform in two hours using SQL injection. The AI was sophisticated.

    2 min read

  15. GPT-5.4 Can Click Your Buttons Now. Think About That.

    OpenAI's latest model ships with native computer use. The capability is real. The security implications should keep you up at night.

    2 min read

  16. Your AI Assistant Can't Tell You From an Attacker

    A security researcher sent himself an email. Nothing fancy — no malware, no exploits, no infrastructure. Just a message that said, in effect, 'Hey, it's me!'

    3 min read

  17. Copilot Has 3.3% Adoption and 116% ROI. Both Numbers Are Real.

    Forrester's reality check on Microsoft Copilot reveals the adoption paradox: the tool demonstrably works, and almost nobody is using it.

    1 min read

  18. OWASP Published an MCP Security Guide. You Should Be Worried.

    MCP adoption is outpacing security controls. OWASP and Microsoft both published governance guidance in February. That's not coincidence—it's alarm bells.

    1 min read

  19. Claude 3.5 Haiku, 3.7 Sonnet, GPT-4o: The Deprecation Wave Is Here

    Three major models entering end-of-life in the same window. If you hardcoded model IDs, migration planning just became urgent.

    2 min read

  20. Google's VP Said It Out Loud: LLM Wrappers Face Extinction

    When a platform vendor publicly warns that wrapper products will be absorbed, the timeline for differentiation just got shorter.

    1 min read