About
Straiker is an enterprise-grade agentic AI security platform designed to protect organizations as AI agents proliferate across cloud, SaaS, and on-premise infrastructure. It addresses the unique attack surface that AI agents introduce — including prompt injection, tool misuse, data leakage, and supply chain risks — with a claimed 98.1% threat detection accuracy. The platform is organized around three core products. **Discover AI** provides AI agent discovery and security posture management, giving teams visibility into every agent, MCP server, and tool connection across the enterprise. **Ascend AI** acts as an autonomous red-teamer, continuously stress-testing AI agents against realistic attack paths before they reach production. **Defend AI** delivers real-time runtime security and guardrails, detecting and blocking malicious prompts, data exfiltration attempts, and tool manipulation as they happen. Straiker is purpose-built for industries with strict security and compliance requirements, including banking, financial services, healthcare, and technology companies. It also offers dedicated security coverage for specific agent types such as coding agents (including Claude Code), custom-built agents, and productivity agents. With its research-backed STAR team and focus on emerging threats like indirect prompt injection and sandbox escapes, Straiker is designed for security teams that need governance and control over the entire agentic AI operating surface.
Key Features
- Discover AI – Agent Visibility & Posture Management: Automatically discovers all AI agents, MCP servers, and tool connections across cloud, SaaS, and on-premise environments to surface misconfigurations and risky connections.
- Ascend AI – Autonomous Red-Teaming: Continuously adversarially tests AI agents across tools, MCP servers, and workflows to expose real attack paths and vulnerabilities before they reach production.
- Defend AI – Runtime Security & Guardrails: Provides real-time detection and blocking of prompt injection, data leakage, and tool manipulation as agents execute, acting as a live security guardian.
- MCP Security: Dedicated monitoring and protection for Model Context Protocol (MCP) servers, addressing a growing vector for supply chain and indirect injection attacks.
- 98.1% Threat Detection Accuracy: Research-backed detection engine with industry-leading accuracy across prompt injection, silent data exfiltration, and tool misuse scenarios.
Use Cases
- Securing enterprise deployments of AI coding agents like Claude Code against prompt injection and sandbox escape attacks.
- Continuously red-teaming custom-built AI agents across MCP servers and tool integrations before releasing them to production.
- Providing real-time runtime guardrails for AI-powered productivity agents handling sensitive business data.
- Meeting AI governance and compliance requirements in regulated industries like banking and healthcare.
- Gaining full visibility into shadow AI agents and unauthorized MCP connections across cloud and SaaS environments.
Pros
- Comprehensive Security Lifecycle Coverage: Covers discovery, pre-production red-teaming, and runtime defense in a single platform, eliminating the need for multiple point solutions.
- Industry-Leading Detection Accuracy: 98.1% threat detection accuracy provides high confidence for enterprise security teams managing critical AI agent deployments.
- Broad Agent & Framework Support: Supports diverse agent types (coding, productivity, custom-built) and integrates with emerging standards like MCP, keeping pace with the evolving agentic AI landscape.
- Research-Driven Threat Intelligence: Backed by the Straiker STAR research team, which actively discovers and publishes novel AI attack chains, ensuring protections stay ahead of emerging threats.
Cons
- Enterprise-Only Pricing: No self-serve or freemium tier is available; access requires booking a demo, making it inaccessible for smaller teams or individual developers.
- Narrow Specialization: Focused exclusively on AI agent security, so organizations looking for broader application security or traditional SAST/DAST tooling will need additional solutions.
- Emerging Category Complexity: As agentic AI security is a nascent field, teams may face a learning curve in understanding and operationalizing findings from adversarial red-teaming and runtime alerts.
Frequently Asked Questions
What is Straiker and what problem does it solve?
Straiker is an agentic AI security platform that helps enterprises discover, test, and defend AI agents against attacks like prompt injection, data exfiltration, and tool misuse. As AI agents gain access to critical infrastructure and act autonomously, Straiker provides the security control plane to ensure they operate safely.
What types of threats does Straiker detect?
Straiker detects prompt injection (direct and indirect), tool misuse, silent data exfiltration, tool manipulation, MCP server compromises, and other runtime attacks targeting AI agents and their integrations.
How does Ascend AI red-teaming work?
Ascend AI autonomously simulates adversarial attacks against your AI agents — including their tools, MCP servers, and workflows — to identify exploitable vulnerabilities before the agents are deployed to production.
Which industries and agent types does Straiker support?
Straiker supports banks and financial services, hospitals and healthcare, and technology/AI companies. It provides specialized security for coding agents (including Claude Code), custom-built agents, and productivity agents.
How accurate is Straiker's threat detection?
Straiker reports a 98.1% threat detection accuracy based on its research. The platform is developed by the Straiker STAR team, which actively researches novel AI attack vectors to keep detection models current.
