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OpenAI's Enterprise Revenue Surpasses Consumer Business: OpenAI's CFO disclosed that enterprise sales now exceed consumer revenue, crossing 50% of the company's $40 billion annualized run rate earlier than anticipated. The shift reflects enterprises moving from untracked employee AI usage toward measuring cost per unit of intelligence delivered.
Cyera Acquires Oasis Security for $1 Billion to Unify AI Agent Controls: Cyera purchased Oasis to merge data security and identity management into a single control plane for AI agents (autonomous software programs that act on behalf of users), enabling context-based access decisions rather than static permission roles.
Critical RCE in Cortex MCP Server Enables Code Execution via Malicious Repositories: CVE-2026-49986 affects Cortex MCP server (a tool providing persistent memory to AI assistants like Claude) versions before 3.17.1, where insufficient validation of project directories allows attackers to execute arbitrary Python code by placing malicious files in a repository that trigger when the visualization tool is invoked. The vulnerability carries critical severity and runs with user privileges.
Anthropic Deploying Invisible Text Watermarks in Claude for EU Compliance: Anthropic is embedding undetectable watermarks in Claude's output by subtly biasing word selection during generation using a secret key, creating verifiable patterns without degrading text quality. The implementation addresses EU regulatory requirements mandating identification of AI-generated content.
AI agents deployed in organizations need access to sensitive systems, but current OAuth tokens (standardized digital credentials that verify identity and permissions) cannot properly track both the agent's identity and the user it represents, making it impossible to enforce proper access controls or detect misuse. The problem grows as agents become more autonomous and can act on behalf of multiple users, invoke other agents, and operate without human oversight. OAuth tokens were designed for single-principal scenarios (one actor), but AI agents operate in complex multi-principal situations that the industry has not yet standardized.