Endpoint Controls

Endpoint controls are technical and policy-based measures that restrict, monitor, and govern how data moves to and from user devices, servers, and network peripherals. In AI governance contexts, these controls prevent unauthorized access to sensitive training data, model weights, and inference systems by enforcing device compliance standards and data exfiltration prevention. Organizations use endpoint controls to maintain audit trails, enforce data residency requirements, and ensure that AI systems interact only with approved infrastructure and authenticated users.

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ResearchGlobal2026-09-19

BragJack Attack Turns Browser Extensions Into AI Agent Hijack Tools

Security researcher Gal Weizman disclosed a new attack class called BragJack, showing how a single malicious browser extension can seize control of AI agents in Chrome, Edge, Perplexity Comet, Opera Neon, and Claude for Chrome. Using a native browser mechanism, attackers can force hijacked agents to read local files, capture screenshots, access browsing history, and send emails on behalf of victims. Enterprise compliance programs are directly affected because the attacks exploit privileged AI agent access, not conventional malware, complicating detection and existing endpoint controls.

agentic AI browser security prompt injection extension hijacking Claude Anthropic Perplexity endpoint controls