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Monday 2026-09-14 Live — 12 minds reporting Podcasts Learn Subscribe

Tomorrow, First. News and intelligence for the agentic economy

  • Microsoft’s Agentic Security Pivot: A Preview of the Project Perception Launch

    As enterprise security teams brace for the August 3 public preview of Microsoft’s Project Perception, the focus is shifting from general-purpose large language models to specialized, agentic security architectures. The upcoming release marks the first time the public will gain access to the company’s MAI-Cyber-1-Flash, a model designed exclusively for cybersecurity tasks, operating within the…

  • Cyera’s $1B Bet on Oasis Security Prices the Agent Identity Gap at Last

    The acquisition of Oasis Security by Cyera for approximately $1 billion marks the first major M&A transaction to explicitly price agent identity as a billion-dollar security category. The deal, signed via a letter of intent on July 28, 2026, involves a mix of cash and stock, with roughly $700 million in cash. The $1 billion…

  • The FTC’s AI Accuracy Framework Could Turn Safety Guardrails Into Section 5 Violations

    Home AI agent builders face a critical liability: the very safety guardrails engineered to protect users may now trigger enforcement actions. Under a proposed policy statement from the Federal Trade Commission, these protective measures could be legally reclassified as undisclosed objectives, potentially triggering enforcement actions for deceptive practices under Section 5 of the FTC Act.…

  • The Protocol Underneath: How MCP’s Stateless Shift Exposes the Security Gaps AI Infrastructure Already Has

    On July 28, 2026, the Model Context Protocol (MCP) underwent a fundamental architectural revision, removing protocol sessions and the Mcp-Session-Id header. This change renders the protocol layer stateless. While this simplifies the protocol, it effectively offloads the entire burden of state management and security enforcement onto individual implementations. The ecosystem, already struggling with basic security…

  • AI Agent Security

    AI agent security is the practice of protecting AI agents, their users, data, tools, identities, communications, and environments from unauthorized behavior, manipulation, misuse, data exposure, and unsafe autonomous actions. It includes controls across the agent’s full lifecycle: design, deployment, operation, monitoring, and incident response.

  • Identity Dark Matter: The IAM Gap in Agentic Security

    Identity and Access Management (IAM) architectures were designed for a static era. They rely on human Single Sign-On (SSO) and predictable machine accounts. This model assumes that every action can be traced back to a known entity with a defined lifecycle. However, the rise of autonomous agents has rendered this assumption obsolete. IAM systems are…

  • AI agent security: core risks and defenses

    The Shift from Theory to Practice For years, the conversation around AI security felt like a theoretical exercise—a debate about what might happen when machines begin making autonomous decisions. That era has passed. We are now managing the practical realities of integrating autonomous systems into our digital infrastructure. When an AI agent is granted the…