Straiker Raises $64M Series A to Secure the Agentic Workforce
Agentic security startup Straiker closed a $64M Series A led by Marathon, bringing total funding to $85M, as enterprises race to protect autonomous AI agents from prompt injection, goal hijacking, and tool misuse.
Straiker, the agentic security company founded in March 2025, announced a $64 million Series A on June 29, bringing its total funding to $85 million. The round was led by Marathon and included Illuminate Financial. The company says it secures every AI agent that enterprises build or deploy — covering the full lifecycle from inventory and pre-deployment testing through runtime protection.
A new attack surface demands a new kind of security
Traditional application security was designed for software that waits for instructions and returns a result. AI agents are different: they plan multi-step tasks, call external tools, browse the web, execute code, and take actions with real-world consequences across systems. That autonomy creates attack vectors that existing security tooling was not built to handle.
Prompt injection — in which malicious content in an agent's environment redirects its behavior — is among the most prevalent threats. Goal hijacking, tool misuse, and credential exfiltration round out the attack surface. Straiker's platform is purpose-built for these patterns, using adversarial agents to probe enterprise deployments the way real attackers would.
Three-layer defense across the agent lifecycle
Straiker ships three products that map to the stages at which agents can be compromised:
Discover AI inventories every AI agent and Model Context Protocol (MCP) server running inside an enterprise environment, giving security teams visibility into what agents exist before they worry about whether those agents are secure.
Ascend AI is Straiker's adversarial testing engine. It runs automated red-team campaigns against agents before they reach production, testing for prompt injection, goal hijacking, and tool misuse using threat data developed by Straiker's STAR Labs research division. STAR Labs works directly with frontier AI labs, giving Straiker early visibility into emerging attack techniques.
Defend AI operates at runtime, providing real-time guardrails and full-chain forensics across live agent workflows. Together, the three products are designed to catch threats at whichever point in the deployment lifecycle they surface.
The funding and what comes next
Straiker raised a $21 million seed round in late 2025 and has scaled rapidly since. The company was named to the CB Insights list of the 100 most innovative AI startups of 2026 and won Best AI Security Testing Platform at The Hacker News Cybersecurity Stars Awards 2026. The $64 million Series A will go toward expanding GPU infrastructure, developing specialized security models, and funding STAR Labs research. Straiker CEO and co-founder Ankur Shah has positioned the company as the security layer that enterprises will need as they expand from experimental agent deployments to production workloads where agent failures have real operational and reputational costs.
Sources
AI-assisted reporting, overseen by the AgentsAI team. Spotted an error? Let us know.
More agents news
Cognition Launches SWE-2, a Cheaper Coding Model Built Into Devin
Cognition released SWE-2, a coding model post-trained from Moonshot AI's open-weight Kimi K3, that it says nearly matches Claude Fable 5.1 on the FrontierCode 1.1 benchmark at roughly 64% lower cost, and shipped it immediately inside Devin.
Salesforce Launches Seven 'Job-Ready' Agentforce Agents and a Long-Horizon Runtime
Salesforce unveiled seven named Agentforce agents built for specific roles across sales, service, HR and supply chain, plus a new runtime that lets an agent pursue a goal over days or weeks instead of a single session.
OpenAI Opens Its Codex Agent Harness to Developers With New Agents API
OpenAI launched the Agents API in public beta, giving developers direct access to the same orchestration harness that powers Codex — session management, context compaction, subagents and sandboxed execution — behind a single API.
Cognition Closes $2B Series E for Devin at $48 Billion Valuation
The maker of autonomous coding agent Devin closed a Series E round of more than $2 billion at a $48 billion valuation, nearly doubling its worth four months after its last raise as run-rate revenue approached $900 million.