Straiker Defend AI

What does Straiker Defend AI do?

Defend AI inspects each prompt, reasoning step, and tool call to stop prompt injection, data exfiltration, and agent manipulation before they spread through production workflows. It protects coding copilots, productivity agents, and custom-built agents with runtime security and guardrails, while its multimodal threat detection looks across text, code, images, audio, and file uploads. The product also adds MCP and tool security so teams can spot risky connections and enforce policy as agents act. Straiker says the engine is trained on millions of real-world agent traces and delivers 98.1% detection accuracy with sub-300ms latency. Its MCP coverage includes more than 13,000 scanned servers and a 10K+ vulnerability database, giving security teams visibility into a fast-changing attack surface. Customers named on the site include Automation Anywhere and Deloitte, and the platform is positioned for enterprise environments that need continuous monitoring, auditability, and real-time blocking rather than static review.

Why use Straiker Defend AI?

• Its runtime engine blocks attacks as agents act, so teams can stop harmful behavior before it reaches downstream systems.
• The multimodal approach catches threats hidden in text, code, images, audio, and file uploads that single-mode tools miss.
• MCP-specific visibility helps teams inventory servers, test connections, and enforce policy across a fast-changing tool layer.
• The platform pairs detection with audit trails and continuous compliance visibility, which supports oversight without quarterly-only reviews.
• Straiker reports 98.1% detection accuracy and sub-300ms latency, so protection is designed to stay responsive in live workflows.

Who is Straiker Defend AI for?

• Security engineers who need to block prompt injection and tool misuse in live agent workflows.
• GRC and compliance teams who need audit-grade evidence across AI actions and tool access.
• Platform teams who need to secure coding copilots and custom agents without slowing deployment.
• AI application owners who need visibility into MCP connections and agent behavior at runtime.
• Enterprise security leaders who need continuous monitoring across productivity and custom-built agents.

What are Straiker Defend AI's key features?

What does Straiker Defend AI integrate with?

• Azure
• Bedrock
• LangChain
• Agentforce
• Cursor
• Claude Code
• GitHub Copilot
• MS Copilot
• ChatGPT Enterprise
• AWS Bedrock
• Azure AI Foundry
• Slack
• MCP
• Cowork

What are Straiker Defend AI's use cases?

How does Straiker Defend AI work?

1. Connect your first agent or app through the API, SDK, webhook, or AI sensor, then let AI Agent Discovery inventory the environment and surface what is already running.
2. Scan connected workflows with Runtime Security for AI Agents and MCP Security to identify risky tool access, weak connections, and likely prompt-injection paths before rollout.
3. Turn on Built-in guardrails and Application grounding & Output Safety to enforce policy at runtime, validate inputs and outputs, and block unsafe actions in real time.
4. Review AI Agent Observability & Forensics dashboards and end-to-end audit logs to investigate incidents, prove compliance, and trace each agent decision back to its source.
5. Keep monitoring with Continuous risk monitoring and Adaptive threat management so new agents, tools, and model behaviors stay covered as your environment changes.

Frequently asked questions