Agent discovery
Continuously inventories AI agents across endpoints, browsers, and network traffic so teams can identify where agents are running and distinguish allowed from disallowed agents.
Oso for Agents
RevendiquerOso for Agents is an AI agent security and control platform for discovering, monitoring, detecting, and governing AI agents in production with alerts and logs.
AI agent security and control platform
Oso for Agents is an AI agent security and control platform for teams that need visibility into how agents are being used and guardrails around what they can do. It focuses on discovery, monitoring, detection, and policy enforcement for agents running across employee devices and internal systems.
The product is designed for environments where AI agents have real access to filesystems, code repositories, cloud APIs, and internal tools. Its stated purpose is to help security and engineering teams run agents in production with more confidence while enforcing least-privilege controls and keeping an auditable record of agent activity.
Core capabilities
Session monitoring
Captures prompts, completions, and tool calls for monitored agents, creating a session timeline that can be used to review behavior or investigate incidents.
Detection and alerting
Generates alerts for unsanctioned agents and sensitive data in agent sessions, with delivery via Slack and links to investigation details.
Policy control
Lets teams define policies for what agents can do, including blocking tool calls, requiring human approval, or generating alerts, enforced centrally at the network level.
Action reporting and export
Provides complete logs of agent actions and exportable compliance records for incident review and audit workflows.
Common use cases
Shadow AI discovery
Use Oso to find AI agents running on employee devices, in browsers, or in the terminal, then flag sanctioned and unsanctioned usage.
Agent activity review
Use the session timeline to inspect prompts, completions, and tool calls when you need to understand what an agent did during a workflow or incident.
Risk detection and response
Use alerts and policy controls to detect sensitive-data exposure, stop risky tool usage, or block unknown MCP servers before they are allowed to act.
Audit and reporting
Use complete action logs and exportable records to support internal review, compliance requests, and step-by-step incident reconstruction.
Policy enforcement
Use the policy layer to define internal AI rules such as allowing only approved models or requiring human approval for specific actions.
Pros and Cons
Pros
- Covers the full lifecycle of agent oversight from discovery through monitoring, detection, and reporting.
- Provides concrete controls such as allow/disallow status, alerting, and policy-based blocking or approval.
- Includes session-level timelines and complete logs that support investigation and review.
- Offers pricing tiers for smaller teams as well as custom enterprise options.
Cons
- The docs describe policy enforcement as coming soon in the overview, so the control surface appears to be evolving.
- Integration details are not fully enumerated in the collected sources, so the full deployment surface is unclear from this evidence alone.
FAQ
Who is Oso for Agents for?
Oso for Agents is aimed at teams that need visibility and control over AI agents running inside their organization. The docs describe discovery, monitoring, detection, and policy control for agents across endpoints, browsers, and network traffic.
What can Oso for Agents do?
The overview documents discovery of agents, session monitoring, alerting for unsanctioned agents or sensitive data, and policy-based control that can block tool calls, require human approval, or generate alerts.
What pricing plans are available?
The pricing page lists a Developer plan at $0 per user per month, a Growth plan at $15 per user per month, and an Enterprise plan with custom pricing.
How is it deployed or enabled?
The product pages point to use with approved AI traffic, agent sessions, and policies enforced centrally at the network level. The docs also note a quickstart for coding agents and an access flow that requires meeting with the company to get enabled.
Quick Facts
- Category
- AI agent security and control platform
- Primary users
- Security and engineering teams
- Core workflows
- Discover, monitor, detect, control, and report on AI agents
- Pricing
- Developer, Growth, and Enterprise plans
- Source domain
- osohq.com
- Related docs
- Authorization Academy and product docs for Oso for Agents