Straiker, the agentic AI security platform for discovering, testing, and runtime-protecting autonomous AI agents, raised a $64 million Series A to scale GPU infrastructure, specialized models, and global expansion amid 15x revenue growth.
Straiker, an agentic AI security company based in Mountain View/Sunnyvale, California, announced a $64 million Series A funding round. This brings its total funding to $85 million (following a $21 million seed round in March 2025 from Lightspeed Venture Partners and Bain Capital Ventures).
The round was led by Marathon Management Partners, with participation from Citi Ventures, Illuminate Financial, and Workday Ventures, plus continued support from existing investors Bain Capital Ventures and Lightspeed. Gokul Rajaram, founding partner at Marathon, is joining the board.
What is Straiker.ai?
Straiker positions itself as “The Agentic AI Security Company,” focusing on securing autonomous AI agents that reason, act independently, and interact with tools, data, and systems. Unlike traditional application security, agents introduce dynamic risks due to their autonomy, such as prompt injection, goal hijacking, tool misuse, inter-agent manipulation, identity abuse, memory poisoning, data exfiltration, and resource exploitation.
Its platform includes three core capabilities:
- Discover AI: Maps every AI agent, MCP server, and agentic workflow for visibility, posture monitoring, misconfiguration detection, and governance.
- Ascend AI: Adversarial testing engine using proprietary threat data to simulate attacks (e.g., prompt injection, tool misuse) before deployment.
- Defend AI: Runtime security that detects and blocks threats in real time with low latency, without hindering agent performance.
These are powered by an AI native engine with fine tuned models leveraging intelligence across the AI stack (users, models, apps, agents, identity, data). A shared intelligence layer from STAR Labs (its threat research arm) improves detection over time. The company also offers a playable CTF game “Breach: Grid City” for engagement and threat data collection.
Key stats from its research highlight the risks: 28.6% of cataloged MCP tools are inherently dangerous; 91% of attacks on productivity agents result in silent data exfiltration; 36% of successful attacks on coding agents lead to remote code execution.
Who founded Straiker?
- CEO Ankur Shah (co-founder): Former SVP & GM of Prisma Cloud at Palo Alto Networks, where he scaled the CNAPP business significantly (revenue growth ~50x over 5 years). Prior roles at RedLock, CipherCloud, and Symantec.
- CTO Sreenath Kurupati (co-founder): Led AI, data science, and security research at Akamai (post acquisition of his startup Cyberfend). Earlier career at Intel in computer vision, security, and networking.
The team blends deep cybersecurity scaling experience with AI expertise, which is a strong fit for the emerging agentic security category.
AI agents represent the “fastest growing workforce in the enterprise,” with IDC projecting over 1 billion deployed by 2029 (40x growth from 2025). They automate productivity, back office, and customer workflows but create novel risks beyond traditional controls, as seen in incidents like the Meta AI support agent manipulation leading to account hijackings.
Straiker has achieved strong early traction:
- Trusted by Fortune 500 enterprises and frontier AI labs.
- 15x growth in run rate revenue in under a year since commercial launch.
- Customers include Omada Health, Coupa, American Express Global Business Travel, Enterprise DB, and Automation Anywhere (per testimonials emphasizing testing, runtime protection, and risk assessments).
This momentum reflects surging enterprise demand for purpose built agentic security amid rapid AI adoption.
How will Straiker use the funds?
The capital will primarily fund:
- Expansion of GPU infrastructure.
- Development and training of specialized security models (pre and post training).
- Improvements in detection accuracy, low latency, and cost efficiency.
- Growth of STAR Labs threat research.
- Global expansion and product development to meet enterprise demand.
CEO Ankur Shah noted that demand exceeded forecasts, directing funds toward scaling capabilities and customer pull.
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This $64M Series A, substantial for a company less than 18 months out of stealth, signals strong investor confidence in the agentic AI security thesis. The participation of strategic investors (e.g., Workday Ventures, Citi Ventures) alongside top tier VCs like Marathon, Bain, and Lightspeed underscores both financial and ecosystem validation. The post money valuation is not publicly disclosed, but the round size and rapid revenue growth suggest a significant step-up from the seed stage.
Strengths:
- Timely positioning in a high growth niche (agentic AI) where risks are materializing quickly.
- Differentiated AI native approach with integrated discovery, testing, and runtime defense, plus proprietary threat intelligence.
- Experienced founders with proven execution in scaling security platforms.
- Demonstrable traction and revenue momentum in a hot market.
Challenges/Risks:
- Competitive landscape in AI security (existing players expanding into agents, plus new entrants).
- Need to maintain low latency performance at scale while handling evolving threats from frontier models.
- Dependency on continued AI adoption and enterprise willingness to invest in specialized security layers.
The funding positions Straiker as a leader in securing the shift to autonomous AI systems. It enables accelerated innovation and market expansion at a critical inflection point, where agent proliferation could redefine both productivity and enterprise risk postures. The company’s focus on compounding intelligence across its platform gives it a defensible moat in a field where threat data and specialized models are key advantages.
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