Straiker Secures Custom-Built and first-party Agents
Secure custom-built AI agents you’re building & deploying.
Discover your full agent attack surface, then continuously test and protect custom-built agents on AWS Bedrock AgentCore, Azure AI Foundry, Copilot Studio, and MCP servers.
Problem
Custom-built AI agents connect to systems of record, build with MCP servers and third-party connectors, and go to production with an attack surface that no one has fully mapped.
Solution
Straiker first maps every agent, MCP server, and connector in your environment, then continuously tests them for agentic AI threats before deployment and protects them at runtime.
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What's at stake when custom-built agents are unsecured
When your team uses:
risk 01
Agents vulnerable to prompt injections
Attackers inject malicious instructions through documents, APIs, and agent-to-agent communication. Poisoned MCP servers and compromised tools compound the risk, turning trusted integrations into attack vectors.
Risk 02
Data exfiltration through tool chains
Agents with broad access and risky MCP connections can move laterally across your systems, leading to unauthorized access and data exposure. And because agents are ephemeral, they can be hard to trace after the damage is done.
Risk 03
Expensive compliance gaps auditors will find
Agentic deployments need to meet specific technical controls that require continuous risk assessment, audit trails, and policy enforcement, including tool call validation, prompt injection logging, and containment testing for multi-agent systems.
Security at every stage of the custom-built agent lifecycle
Govern: See every agent and every connection.
Discover AI maps your custom-built agents and the MCP servers, tools, and infrastructure they connect to, giving security teams full visibility into what's deployed, what it has access to, and where the risks are. Powered by Discover AI
Build: Find exploitable weaknesses.
Ascend AI delivers continuous adversarial testing with the industry's highest attack success rate, probing multi-turn conversations, tool call abuse, data exfiltration paths, and emerging evasion techniques across multiple attack categories. Every build, every prompt change, every config update gets tested. Powered by Ascend AI
Deploy + Run: Stop threats on both sides of the prompt.
Defend AI provides subsecond runtime detection that monitors both inputs and outputs, blocking prompt injection, data exfiltration, tool misuse, agent hijacking, and harmful content generation across your agents in production. Powered by an AI engine trained on millions of real-world agentic attacks, our defenses evolve as fast as the threats do. Powered by Defend AI
Questions Straiker helps you answer
Are my agents vulnerable to prompt injection and tool call abuse before they reach production?
What MCP servers and tool integrations are my agents connected to, and are any of them risky?
If an agent is hijacked, what's the blast radius across connected systems?
Can I prove to auditors that my agents are continuously tested and monitored?
Are my agents leaking sensitive data through tool chains or cross-connector pivots?
Do I have full visibility into agent permissions, tool usage, and data access patterns?
Frequently Asked Questions
What types of custom-built agents does Straiker support?
Straiker supports custom AI agents built with AWS Bedrock AgentCore, Azure AI Foundry, Azure Copilot Studio, MCP, LangChain, and custom orchestration frameworks. Teams can integrate Straiker with a single line of code through an API, SDK, webhook, or gateway.
How does Ascend AI test my agents differently than a manual pen test?
Manual penetration tests are one-time snapshots. Ascend AI runs continuous, automated adversarial testing that adapts to your agent's behavior, probing multi-turn conversations, tool-call chains, and data-exfiltration paths across multiple attack categories and strategies. It can test with every build, prompt change, or configuration update.
What threats does Defend AI block at runtime?
Defend AI provides real-time protection against prompt injection, data exfiltration, tool misuse, agent hijacking, remote code execution, resource exhaustion, harmful content generation, and toxic outputs. It monitors both inputs and outputs and blocks threats at subsecond latency.
How does Straiker help with AI compliance (OWASP, NIST, EU AI Act)?
Straiker helps organizations manage AI security and compliance by mapping testing and monitoring results to the OWASP Top 10 for LLMs and Agentic AI, NIST AI RMF, MITRE ATLAS, and EU AI Act requirements. Continuous assessment provides audit trails and evidence across the organization's AI agent inventory.
Can Straiker protect multi-agent systems?
Yes. Straiker secures multi-agent systems by monitoring agent-to-agent communication and tool-delegation chains. It detects attempts by compromised agents to manipulate, hijack, or misuse other agents in the system.
How is this different from the guardrails built into my LLM provider?
LLM-level guardrails protect the model. Straiker protects the agent: its tool calls, MCP connections, data access, multi-turn reasoning, and the actions it takes in your environment. These are different attack surfaces, so model-level guardrails alone don't secure the full agentic application.
Additional resources
Introducing The Straiker Partner Collective: The Ecosystem Securing AI Agents
AI agents are creating a new enterprise attack surface. The Straiker Partner Collective, brings partners together to discover, test, and defend AI agents.
You Can't Filter Your Way Out of Prompt Injection Attacks
Why input filtering fails against indirect prompt injection in AI agents, and the security controls that actually contain attacks & secure your AI agents.
Join the Frontlines of Agentic Security
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.
