Straiker

Agentic AI security that finds and stops rogue agent behavior

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Screenshot of Straiker, Agentic AI security that finds and stops rogue agent behavior

What is Straiker?

Straiker is a sales-led agentic AI security platform that discovers AI agents and MCP servers, tests them for prompt injection and tool misuse, and blocks malicious runtime behavior with an agentic kill switch. It targets enterprise security and governance teams rather than individual developers.

Straiker is an agentic AI security platform built for enterprises that have moved past the pilot stage with AI agents and now need to govern them. The product is organized around three workflows. Discover-AI maps the agents, MCP servers, and Skills already running inside an organization, so security teams can see what was deployed and by whom. Ascend-AI probes those agents to find how they fail, including prompt injection, tool misuse, and other runtime attacks. Defend-AI watches agent behavior live and responds with real-time detection, blocking, and an agentic kill switch that cuts an agent off mid-task. The positioning is narrow on purpose. Straiker is sold to security and governance teams rather than to the developers building agents, and the site organizes solutions by agent type: coding agents, custom-built agents, and productivity agents. A separate compliance and governance track covers AI regulations, and another covers MCP agent skills security, which matters for teams wiring agents into shared tool servers. The headline claim is 98.1% threat detection accuracy, and the company publishes its own threat research, including a 2026 Agentic Threat Report, alongside a blog, podcast, and events calendar. In practice, adoption starts with a demo request rather than self-serve signup. The vendor also runs Grid City, an interactive environment used to demonstrate agentic attacks and defenses. For teams comparing options, Straiker sits in the runtime protection camp alongside agent observability and AI firewall vendors, with the differentiator being the kill switch and the emphasis on discovery of shadow agents. Buyers should expect a sales-led evaluation and should validate the detection accuracy figure against their own agent traffic before committing.

How do you use Straiker?

  1. 1Book a demo to scope the evaluation
    Straiker is sold through a demo request rather than self-serve onboarding. Use the initial call to describe your agent inventory and which agent types (coding, custom-built, productivity) you need covered.
  2. 2Review the threat research before the call
    Read the 2026 Agentic Threat Report to understand the attack classes Straiker targets, such as prompt injection and tool misuse, and to prepare questions about detection methodology.
  3. 3See attacks demonstrated in Grid City
    Grid City is an interactive environment that shows how agentic attacks play out and how defenses respond. Walking through it gives a non-technical stakeholder a concrete picture of the risk.
  4. 4Map your agents with Discover-AI
    Once onboarded, run discovery to surface the agents, MCP servers, and Skills already active in your environment. This inventory becomes the basis for testing and policy.
  5. 5Test agent failure modes with Ascend-AI
    Use Ascend-AI to probe discovered agents against known failure patterns and see which ones can be manipulated before anything reaches production traffic.
  6. 6Turn on runtime defense and the kill switch
    Defend-AI monitors agent behavior live and blocks malicious actions. Configure the agentic kill switch so an analyst can terminate a runaway agent during an incident.

Pros and cons

Pros

  • Covers the full loop: discovery of agents and MCP servers, failure testing, and runtime blocking in one platformAI
  • Agentic kill switch gives security teams a concrete way to halt a compromised agent mid-taskAI
  • Organized by agent type (coding, custom-built, productivity), which maps to how enterprises actually deployAI
  • Publishes its own threat research and a 2026 Agentic Threat Report, so buyers can inspect methodology claimsAI
  • Dedicated compliance and governance track for teams facing AI regulationAI

Cons

  • Pricing is not published anywhere on the homepage, so budgeting requires a sales conversationAI
  • The 98.1% detection accuracy figure is vendor supplied and not independently verifiable from the siteAI
  • No self-serve signup or free tier is visible; entry runs through a demo requestAI
  • Very little technical documentation is exposed publicly, which makes pre purchase testing difficultAI
  • Focused on security teams, so smaller companies without a dedicated security function may find it heavyAI

How much does Straiker cost?

Features

Core modules are Discover-AI (inventory of agents, MCP servers, and Skills), Ascend-AI (failure testing for prompt injection and tool misuse), and Defend-AI (real-time detection, blocking, and an agentic kill switch). Solutions are organized by coding agents, custom-built agents, productivity agents, MCP agent skills security, and AI compliance and governance.

Learn more

Frequently asked questions about Straiker

  • How do you use Straiker?
    The walkthrough on this page covers 6 steps: 1. Book a demo to scope the evaluation 2. Review the threat research before the call 3. See attacks demonstrated in Grid City 4. Map your agents with Discover-AI 5. Test agent failure modes with Ascend-AI 6. Turn on runtime defense and the kill switch.
  • What platforms does Straiker support?
    Straiker is available on Web App.
  • What are the limitations of Straiker?
    Pricing is not published anywhere on the homepage, so budgeting requires a sales conversation. The 98.1% detection accuracy figure is vendor supplied and not independently verifiable from the site. No self-serve signup or free tier is visible; entry runs through a demo request.

Status

StatusActive
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Added10/21/2026

Platforms

Web App

Pricing

Paid