LangGuard.AI published a blog post explaining how SCOPE-MCP maps the action surface at design time and Arbiter enforces decisions deterministically at runtime.
Public source
Publisher name
Public post
An AI agent acting for a user is not the user. Secure authorization must separate user identity, agent identity, delegated authority, and operation-level authorization.…
Company
LangGuard.AI
Deterministic AI Runtime Governance - Empower teams to discover, monitor, govern, and control AI agent usage at run-time
- Industry
- Technology, Information and Internet
- Location
- San Francisco, US
- Company size
- 2–10 employees
About LangGuard.AI
LangGuard is an AI Control Plane and deterministic runtime governance solution that accelerates AI agent usage into production via a System of Actions platform. LangGuard adapts your existing Systems of Record into an Agentic AI Registry for accountability, observability, traceability, and auditability. With LangGuard, AI Product delivery & IT Teams can review, operate, monitor, and audit AI agent usage without needing additional headcount and provide a single, authoritative view of AI agent usage and ROI, and can govern and and assure compliance by applying deterministic enforcement policies to the action surface. To request a trial, visit www.langguard.ai/trial
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Latest activity from LangGuard.AI
9 signals
Legal & Regulatory
LangGuard.AI notes that the Stop Rogue AI Act was introduced by Representatives Josh Gottheimer and Mike Lawler on September 3, directing NIST to develop AI-agent security standards within one year of enactment.
Products & Services
LangGuard.AI launched the Audit Ledger to record the complete chain of custody.
Products & Services
LangGuard.AI launched LangGuard SCOPE-MCP to discover and catalog the action surface of autonomous agents.
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