Discover AI Agent Visibility and Security Posture
AI agents are everywhere in your enterprise. We help you discover every agent, assess their security posture, and expose vulnerabilities, misconfigurations, and risky MCP and tool integrations.
PRODUCT OVERVIEW
Discover AI gives you frictionless discovery and full visibility into your AI agent inventory, including the MCP servers, tools, and integrations across your agentic ecosystem. It covers builder platforms like Bedrock Agentcore, Azure Foundry, and MS Copilot Studio, as well as coding agents like Cursor, Claude Code, and GitHub Copilot.
GET EYES AND EARS ON YOUR AGENTIC ECOSYSTEM
Visibility into the Agentic Ecosystem
Build a complete AI agent inventory, strengthen your agentic security posture, and gain real-time visibility into MCP server connections, tool integrations, and agent activity across your coding, productivity, and agent builder platforms.
Improve AI Governance
Understand your agentic posture across every platform and coding agent in your ecosystem to enforce security standards, identify misconfigurations, and support AI policy enforcement.
Reduced Attack Surface
Identify and fix MCP & Skills vulnerabilities, risky agent connections, and misconfigured permissions before attackers exploit them.
AI Agent Observability
Understand how agents built on platforms like Bedrock Agentcore and MS Copilot Studio interact with tools, data, and systems. Continuous observability reveals unknown agents, risky integrations, and emerging attack paths.
What to expect with discover AI
Complete AI Agent Inventory
Automatically identify and catalog every AI agent operating across your environment. AI agent discovery builds a real-time inventory of agents, tools, MCP servers, and integrations.
MCP Server & Claude Skills Discovery
Uncover MCP servers & Claude Skills connected to your agents and map how they extend agent capabilities through tools, APIs, and data access.
Agent Security Posture Management
Continuously evaluate the security configuration of agents and integrations with AI security posture management to detect weaknesses across your agent ecosystem.
Misconfiguration and Risk Detection
Identify AI agent misconfigurations, MCP & Skills vulnerabilities, risky permissions, and unsafe agent connections before attackers exploit them.
faq
What is AI agent discovery?
AI agent discovery identifies AI agents and the tools, MCP servers, Claude Skills, APIs, and enterprise systems they have access to across your entire environment. It goes beyond simply finding agents to revealing what they can do, what data they can reach, and how they connect to your infrastructure. The result is a complete inventory that gives security teams the visibility to assess risk, not just presence.
What is AI security posture management (Agent-SPM)?
Agentic AI security posture management (Agent-SPM) continuously evaluates the security configuration of AI agents, MCP servers, and agent integrations. It identifies vulnerabilities, risky permissions, and misconfigurations that could expose agents or enterprise systems to attack.
Why is AI agent inventory important?
Most organizations cannot accurately answer how many AI agents exist across their environment. An AI agent inventory maps every agent, tool connection, and MCP integration so security teams can detect unknown agents, shadow deployments, and unauthorized access paths.
What is MCP server discovery?
MCP server discovery identifies Model Context Protocol (MCP) servers connected to AI agents. Because MCP servers extend agent capabilities with tools and data access, discovering them is critical for understanding the full AI attack surface.
What is Tool Discovery?
Tool discovery identifies the tools and integrations connected to your AI agents. Because agents rely on tools to take actions and access data, discovering them is critical for understanding how your agentic ecosystem behaves and where risky or unauthorized tool usage may be introducing vulnerabilities.
What risks can Discover AI identify?
Discover AI identifies multiple risks across the agent ecosystem, including:
- MCP vulnerabilities
- AI agent misconfigurations
- Excessive permissions
- Unsafe agent integrations
- Risky agent connections
These issues can allow attackers to manipulate agents or access sensitive systems.
How does AI agent observability help security teams?
AI agent observability provides visibility into how agents interact with tools, data, and systems. This helps security teams understand agent behavior, detect anomalies, and monitor how agent capabilities evolve over time.
What is the difference between AI agent discovery and runtime security?
AI agent discovery (Straiker Discover AI) provides visibility and posture management by identifying agents, mapping connections, and surfacing vulnerabilities and misconfigurations. Runtime security (Straiker Defend AI) actively blocks threats like prompt injection, data exfiltration, and agent manipulation during live production interactions. Together they form a closed-loop security system: Discover AI identifies risks, Ascend AI tests them, and Defend AI blocks them at runtime.
Secure the agentic future with Straiker
You’re building at the edge of AI. Forward-thinking teams use Straiker to secure AI agents, detect emerging attack paths, and safely scale agentic AI across their organization. With Straiker, you have the confidence to deploy fast and scale safely.
