Security operations is one of the highest-pressure jobs in any business. Alerts flood in around the clock, analysts have to triage fast, and the consequences of missing something are significant. It’s exactly the kind of work that AI agents were built for — pattern recognition across massive data streams, tireless attention, and responses in seconds rather than hours.

Exaforce, a three-year-old startup building AI-native security operations, just closed a $125 million Series B round at a reported $725 million valuation. The round was led by HarbourVest and includes participation from Peak XV, Mayfield, Khosla Ventures, Seligman Ventures, and AICONIC. Combined with last year’s $75 million Series A, the company has now raised $200 million to bring agentic AI into enterprise security centers.

What Exaforce Actually Builds

The core product is a real-time security knowledge graph. As events, identities, configurations, code, files, and cloud activity arrive, Exaforce maps them into a connected picture of what’s happening across an organization’s environment. Its AI agents — internally called Exabots — run on top of that graph, taking the investigative work that normally requires a senior analyst and doing it in under a minute. The company says that’s a 10x reduction in response time.

Exabots don’t just surface alerts. They investigate, triage, and can take automated action to contain threats. The platform also includes a managed detection and response service for organizations that want Exaforce analysts backing up the automated layer.

One feature that stands out is what the company calls “vibe hunting.” Security teams can query the platform in plain language — something like “Did we get any new attacks from Iran this week?” — and the AI responds with a structured investigation rather than a list of log entries. It’s the same shift happening across enterprise software: natural language as the interface to complex data systems.

Since officially going to market in Q4 2025, Exaforce has signed 20 customers, including Replit and Guardant Health. The team has grown to over 130 employees, and the platform has processed millions of security investigations.

What This Means for Business

The Exaforce funding round is part of a broader pattern: specialized AI agents are being deployed into specific, high-stakes business functions. Security operations centers were already drowning in alert volume before AI made the threat environment more complex. Agentic tools that can investigate, reason, and respond autonomously are becoming the only practical way to keep up.

For business owners and executives, there are two things worth paying attention to here.

First, the liability question is evolving. Exaforce’s pitch rests on AI agents doing the investigation work that humans previously did — but faster and at scale. As these systems mature, the accountability question (who is responsible when an agent misses a threat or takes a wrong action?) will need to be answered by vendors and the organizations deploying them. The due diligence bar is rising.

Second, the staffing argument is becoming clearer. Exaforce’s investors are betting that the talent shortage in cybersecurity — a sector that has had more open positions than qualified candidates for years — makes AI agents not just useful but necessary. That logic applies across functions beyond security: finance, operations, customer support. The agent economy isn’t coming; it’s being funded at scale right now.

For companies that haven’t started evaluating where AI agents can replace repetitive, high-volume knowledge work, the window to be an early mover is narrowing. The organizations funding and deploying these tools today are building compounding advantages in cost structure and response time that will be hard to replicate in 18 months.

Enterprise DNA’s Omni Ops service helps businesses identify where agentic AI delivers measurable ROI and builds the deployment infrastructure to get there. Book a discovery call to see what an AI agent workforce looks like for your specific operations.