Straiker Raises $64 Million Series A for AI Agent Security

Jun 30, 2026
Straiker has secured $64 million in Series A funding led by Marathon Management Partners, Citi Ventures, Illuminate Financial, and Workday Ventures. The company plans to expand its platform for discovering, testing, and protecting enterprise AI agents.

Straiker has raised $64 million in a Series A round, bringing its total funding to $85 million, announced in a press release. The round was led by Marathon Management Partners, Citi Ventures, Illuminate Financial, and Workday Ventures, with continued support from Bain Capital Ventures and Lightspeed Venture Partners. Marathon’s founding partner Gokul Rajaram will join Straiker’s board of directors.

Straiker develops security solutions for AI agents used in enterprise environments. Its platform provides discovery of deployed agents, adversarial testing before release, and protection during operation. The system integrates shared intelligence that links findings from testing and live environments to improve detection and response.

The company’s research group, STAR Labs, conducts adversarial testing on AI systems. Results from its studies show that attacks on coding agents can lead to remote code execution, while productivity agents face risks of silent data exfiltration. Straiker’s platform aims to address these vulnerabilities through continuous monitoring and adaptive protection.

CEO Ankur Shah said the new funding will support product development, research expansion, and international growth. Straiker reports rapid commercial adoption since its 2025 launch, working with both AI research labs and large enterprises to secure autonomous systems.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Cybersecurity AI Weekly, AI Funding Brief or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Cybersecurity AI Weekly

Weekly newsletter about AI in Cybersecurity.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.