Straiker

Straiker is an AI-native security platform that discovers, adversarially tests, and protects the AI agents enterprises deploy. It is built for security and platform leaders who need to safely run internally built and third-party agents at scale.

Straiker is a Mountain View, California security company, founded in 2025, that secures the 'agentic workforce' — the growing population of autonomous AI agents running inside enterprises. Its platform delivers three integrated capabilities: Discover AI, which finds AI agents across the environment and gives visibility into their access, tools and MCP (Model Context Protocol) usage; Ascend AI, which runs pre-deployment adversarial testing across tools and workflows to surface vulnerabilities before agents go live; and Defend AI, which provides runtime protection that detects and stops threats such as prompt injection, data leakage and tool manipulation as they happen. Backed by its STAR Labs threat-research team and what the company calls the industry's most comprehensive agentic exploit dataset, Straiker is already used by Fortune 500 enterprises and frontier AI labs. On June 29, 2026 it announced a $64M Series A (bringing total funding to $85M) led by Marathon Management Partners with Citi Ventures, Illuminate Financial and Workday Ventures, alongside existing backers Bain Capital Ventures and Lightspeed; the company says run-rate revenue has grown more than 15x in under a year.

Category

Governance & Security

Pricing

Contact for pricing

Target Market

CISOs, CIOs, CTOs, Security & Platform Teams

Founded

2025

Headquarters

Mountain View, California, USA

Customers

Fortune 500 enterprises and frontier AI labs

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  Discover AI

  Finds AI agents across the enterprise and reveals their access, behavior, tool use and MCP visibility.

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  Ascend AI

  Runs pre-deployment adversarial testing across tools and workflows to surface agent vulnerabilities before launch.

• ✓
  Defend AI

  Provides runtime protection that detects and stops prompt injection, data leakage and tool manipulation in real time.

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  STAR Labs threat research

  In-house research team and agentic exploit dataset that feed early knowledge of emerging attack techniques into the platform.

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  Governing third-party agents

  Safely deploy both internally built and third-party AI agents with continuous discovery and runtime controls.

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  Agent red-teaming

  Adversarially test agents pre-production to find exploitable weaknesses across tools and workflows.

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  Runtime threat defense

  Monitor live agent activity and block prompt injection, data exfiltration and tool-manipulation attacks as they occur.

Pricing is not publicly disclosed; sold via enterprise sales.

This page was written from 2 sources, 1 on domains other than straiker.ai.

1. 1.straiker.ai — straiker raises 64m series a to secure the agentic workforcevendor
2. 2.securityweek.com — straiker raises 64 million for ai security platform