Gateway comparison
Gateways see traffic routed through them. Pavri focuses on identity-to-action context across framework and endpoint control points.
Resources
Practical references for AI agent security and control.
The launch resources page defines the category and key concepts while the full research and article library remains a future editorial expansion.
AI agent security and control is the practice of identifying agents and assistants, understanding context, governing actions, preserving evidence, and responding to detections or decisions.
Direct answers
Definitions buyers and crawlers can read without JavaScript.
Framework agents are agents built in application code through frameworks, SDKs, tools, models, and orchestration patterns.
Coding agents are assistants operating from developer endpoints with access to repositories, terminals, files, credentials, networks, browsers, cloud tools, and MCP servers.
The Local MCP Broker is Pavri's endpoint-sensor component for routing configured MCP tool calls through local policy and approval behavior.
EDR comparison
EDR sees endpoint events. Pavri adds agent, assistant, MCP, workspace, policy, and session context.
Observation vs enforcement
Observation records evidence. Enforcement changes action outcome where a control point supports it.
Launch resource paths
Start with the artifacts that answer buyer and reviewer questions.
The public resource library is intentionally narrow at launch. Each path points to a concrete page that can be reviewed without a generated deck or placeholder download.
Coverage matrix
Review framework and endpoint coverage by integration path, operating system, control point, and limitation.
Security review path
See data handling, auditability, access controls, and current certification boundaries.
Integration definitions
Map framework agents, coding agents, MCP, SIEM, response, and MDM into the launch workflow.
Move from definitions to implementation.
Review the platform model or request a walkthrough.