Straiker

Straiker is an agentic AI security platform for organizations adopting internally built and third-party agents. It combines discovery, adversarial testing, and runtime defenses. The platform focuses on what agents can access and do across tools and connected systems, as well as the text they generate.

Key Highlights

• Discover AI for agents, MCP servers, and connected workflows
• Ascend AI for adversarial testing before and after deployment
• Defend AI for runtime detection and policy-based blocking
• Assessment of tool misuse, goal hijacking, and data exfiltration
• Integrations with enterprise agent and cloud environments

What Makes It Different

Straiker treats agents as multi-step systems. An attack can involve tool calls, identity, memory, and several connected services, so testing and enforcement need context beyond an individual prompt.

Its three product capabilities connect asset visibility to attack testing and production defense. Discover AI, Ascend AI, and Defend AI combine visibility, testing, and enforcement within the Straiker platform.

Features & Capabilities

Map agents and their MCP connections, review posture issues, and assess how connected tools affect risk. Ascend AI tests prompt injection, goal hijacking, tool misuse, and inter-agent manipulation using adversarial sequences.

Defend AI monitors runtime behavior for identity abuse, memory poisoning, data exposure, and other unsafe actions. Controls include detection, blocking, and an agentic kill switch. Evaluate those actions within the connected environment and confirm how security teams investigate and respond to a finding.

User Ratings and Testimonials

Vendor-selected testimonials include Coupa discussing an AI-application security blind spot and Omada Health describing testing and defense of AI features. These are named deployment perspectives, not a guarantee that every attack will be stopped. Compare findings and operational controls against the threats relevant to your agents.

Pricing & Value

Straiker provides a product demo and an option to request an AI risk assessment. The invitation to an assessment should be distinguished from free access to the full platform. Discuss commercial terms for the platform capabilities you need.

Ask for a proposal that specifies discovery coverage, adversarial testing, runtime controls, and integrations. The evaluation is most useful when it includes the agents and tool permissions your organization actually deploys.