Straiker raises $64M to secure AI agents as enterprises face new threats from autonomous systems

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Mountain View startup Straiker has raised $64 million in Series A funding to secure the AI agents flooding into enterprises. With IDC projecting over a billion agents by 2029, the agentic security company addresses a gap that traditional security tools cannot cover as autonomous agents reason independently across company systems.

Straiker Secures $64M to Address Growing Enterprise AI Security Gap

Straiker has closed a $64 million Series A funding round led by Marathon Management Partners to tackle a security challenge that barely existed a year ago: protecting enterprises from the risks posed by AI agents

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. The Mountain View-based agentic security company now has $85 million in total funding as it races to secure a workforce that research firm IDC expects will exceed one billion autonomous agents inside enterprises by 2029, roughly 40 times the number deployed in 2025

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. Citi Ventures, Illuminate Financial and Workday Ventures joined the round alongside returning investors Bain Capital Ventures and Lightspeed

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Source: SiliconANGLE

Source: SiliconANGLE

Why Traditional Security Tools Fail Against AI Agents

AI agents now book travel, write code and run back-office tasks across company systems with a level of independence that makes them both useful and risky

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. Unlike traditional software that follows fixed rules, these autonomous agents reason on the fly and take actions no one scripted, creating vulnerabilities that existing security controls were never designed to catch

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. The threat became concrete when attackers tricked the Meta AI support agent into resetting account passwords and bypassing two-factor authentication, hijacking more than 20,000 Instagram accounts without ever breaching Meta's core systems

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Real Threats Uncovered Through Adversarial Testing

Straiker's STAR Labs research arm has documented the scale of the problem through adversarial testing. The team found that 36% of successful attacks on coding agents led to remote code execution, while 91% of attacks on productivity agents resulted in silent data theft that left behind no malware and no stolen credentials

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. These attacks exploit the fact that AI agents act independently across connected systems, creating new attack surfaces that traditional rule-based controls simply cannot monitor

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How Straiker Plans to Defend Enterprise AI Agents from Attack

The platform combines three core functions to secure enterprise AI agents: discovery of agents already running inside an organization, pre-deployment testing to surface vulnerabilities before launch, and runtime protection that blocks threats as they occur in real time

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. Straiker says threats caught in production feed back into its testing phase, while flaws found during testing harden its live defenses, creating a continuous loop

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. The company's work with frontier AI labs provides early visibility into emerging attack techniques before they spread

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Proven Leadership and Explosive Growth

Chief Executive Ankur Shah previously ran Palo Alto Networks' Prisma Cloud business, while Chief Technology Officer Sreenath Kurupati led AI and security research at Akamai Technologies after it acquired Cyberfend, the fraud detection startup he founded

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. Since emerging publicly in March 2025 with $21 million in initial funding, Straiker has sold to frontier AI labs and Fortune 500 firms, with run-rate revenue growing more than 15-fold in under a year

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. "Demand is outpacing anything we forecast," Shah said, adding that the funding will go into product development, the STAR Labs research team and overseas expansion

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. Marathon's Gokul Rajaram is joining the board

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What to Watch as Agent Security Becomes Critical

Straiker faces competition from a rush of startups now selling tools to test, govern and secure enterprise AI, covering everything from non-human identity to agent access governance

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. The bigger risk is that large security vendors fold similar AI agent security features into their existing suites

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. Straiker's bet is that AI agents are different enough to need a dedicated guard, and if IDC's projection of over a billion agents by 2029 proves accurate, the market will be massive

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. For enterprises already deploying agents, the question is no longer whether they need specialized security, but how quickly they can implement it before attackers exploit the gap

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