Reusable protection profiles
Apply consistent policies for tools, destinations, data, credentials, rates, budgets, and high-risk operations.
Pavri gives AI platform and engineering teams reusable protection profiles, explainable decisions, shared inventory, and collaboration paths with security.
AI platform teams use Pavri to add identity, policy, telemetry, detection, and evidence to framework agents through approved integration paths while sharing governance and investigation context with security teams.
Pavri wraps existing agent execution paths with identity, policy, decisions, telemetry, and evidence while preserving engineering ownership of application behavior.
Apply consistent policies for tools, destinations, data, credentials, rates, budgets, and high-risk operations.
Give developers a clear matched policy, reason, control point, and evidence link.
Expose agent identity, owner, framework, model, tools, versions, and session activity.
Use LangGraph / LangChain, CrewAI, OpenAI Agents SDK, Anthropic Claude Agent SDK, Google Agent Development Kit, Microsoft AutoGen / Agent Framework, Generic Adapter as the launch integration paths. Do not publish executable SDK samples until package names, signatures, kwargs, return behavior, and TypeScript parity are verified.
Review integration mechanics, policy profiles, and the current coverage matrix.