
We envision a future where security operations are effortless, intelligent, and infinitely more effective through autonomous AI-driven systems. Our mission is to radically transform Security Operations Centers by empowering teams with real-time insights and automated responses that elevate the standard of organizational safety and operational efficiency.
At Exaforce, we harness the power of multi-model AI innovation, combining cutting-edge semantic analysis, machine learning, and language models to create Exabots—an intelligent network of autonomous agents. Through this technological convergence, we enable proactive, swift, and sustained defense against evolving cyber threats.
Our ambition is to build the most responsive, adaptive, and integrated security platform that not only reduces operational burdens but also anticipates the future of security challenges, crafting a safer digital landscape for enterprises worldwide.
Our Review
We'll be honest — when we first heard about Exaforce, we were skeptical. Another AI cybersecurity startup promising to revolutionize SOCs? We've heard that song before. But after digging into what this San Jose-based company is actually building, we're genuinely impressed by their approach.
Founded just last year, Exaforce isn't trying to be everything to everyone. Instead, they've laser-focused on one massive problem: making Security Operations Centers work like they're supposed to. Their "Exabots" — autonomous AI agents that handle the grunt work of threat detection and response — represent a refreshingly practical take on AI in cybersecurity.
What Caught Our Attention
The standout feature here is their multi-model AI engine. While most companies throw large language models at security problems and hope for the best, Exaforce combines semantic models, statistical machine learning, and LLMs into something that actually makes sense. It's like having a security analyst who never gets tired, never misses context, and can work at machine speed.
We're particularly intrigued by their claim of reducing Mean Time To Respond from days to minutes. That's not just an incremental improvement — that's the kind of leap that could fundamentally change how SOC teams operate.
The Smart Business Move
Here's what we think Exaforce got right from the start: they're offering both a SaaS platform and a fully managed MDR service. This isn't just about covering more market segments — it's about meeting customers where they are. Some organizations want to keep everything in-house; others just want the problem solved. Exaforce says "yes" to both.
Their customer list already includes names like Automation Anywhere and Commonwealth Fusion Systems, which suggests they're solving real problems for serious organizations. That's impressive traction for a company that's barely out of stealth mode.
The $75 Million Vote of Confidence
The recent Series A funding round tells its own story. When Khosla Ventures, Mayfield, and Thomvest Ventures collectively bet $75 million on a year-old company, they're seeing something we should pay attention to. These aren't firms known for throwing money at shiny objects — they back companies that can scale.
The timing feels right too. As cloud environments get more complex and security teams get more overwhelmed, the need for genuine automation (not just alerts about alerts) has never been more urgent. Exaforce seems positioned to ride that wave perfectly.
Agentic SOC Platform with autonomous AI agents (Exabots) for threat detection, triage, investigation, and response
Multi-model AI engine combining semantic models, statistical machine learning, and large language models
Real-time insights and proactive detection
Response automation to reduce Mean Time To Respond (MTTR)
Data exploration fabric with contextual visualization across alerts, configurations, code, identity, and threat intelligence
Available as SaaS platform or fully managed Detection and Response (MDR) service






