Cybersecurity teams are overwhelmed. Every day, they face a flood of alerts, endless log reviews, and repetitive manual tasks. Security Operations Centers (SOCs) are stretched thin, and burnout is growing. As threats get more advanced, traditional tools just can’t keep up. That’s where Exaforce steps in—with a smarter approach and $75 million in fresh funding.
Backed by Khosla Ventures, Mayfield, and Thomvest, Exaforce has raised one of the largest Series A rounds in cybersecurity AI. The company is using that investment to scale its AI-driven SOC platform, powered by autonomous agents called Exabots. These agents don’t just help—they reduce manual work by up to 10x, making security teams faster, sharper, and more focused.
Built by People Who’ve Lived the Problem
Exaforce was founded in 2023 by Ankur Singla. He knows the problem first-hand. After years at companies like Google, Palo Alto Networks, and F5, he and his team saw the cracks in current SOC tools. They set out to fix them—starting from scratch.
Instead of relying on one large AI model, they built a layered engine. Their multi-model system uses different types of AI to process data step by step. First, semantic and behavioral models clean and organize the raw input. Then, statistical tools find patterns. Finally, large language models (LLMs) help translate it all into useful, plain-language insights.
That means Exaforce’s Exabots don’t just spot threats—they explain them. They take the heavy lifting off human analysts and let them focus on what matters most.
A Smarter Way to Handle Threats
What sets Exaforce apart is how it blends automation with context. The system doesn’t just throw alerts—it understands them. And it acts fast. While other AI tools use one-size-fits-all models, Exaforce tailors its response through semantic, statistical, and behavioral analysis before the LLM kicks in.
This step-by-step design avoids false positives and gives analysts answers they can trust. It’s already working. Even in stealth, Exaforce has partnered with over ten Fortune 500 companies across energy, tech, and AI. The result? Up to 10x fewer manual tasks and much faster threat response.
The Human Side of AI
Exaforce isn’t trying to replace cybersecurity pros. It’s helping them reclaim their time. Exabots do the grunt work—log sorting, correlation, and initial analysis—so humans can focus on strategy and threat hunting.
Pranay Anand from NTT Data, one of Exaforce’s early adopters, said their platform has already reduced investigation times and improved cloud security. It gives analysts more room to think, act, and stay ahead.
Mayfield’s Navin Chaddha, an early investor, said the firm backed Exaforce from day one because of Singla’s vision. He saw the potential to create AI teammates—not just tools—and knew the SOC world was ready for change.
What’s Ahead
With $75 million secured, Exaforce is hiring across AI, engineering, and customer support. It’s scaling global deployments, expanding pilots, and growing its go-to-market reach. The goal is clear: empower every SOC team with agents that simplify complexity and boost results.
Ankur Singla put it simply: Exaforce is here to “free humans from busywork while letting them choose where to stay hands-on.” The results speak for themselves. With 10x fewer manual tasks, faster investigations, and fewer false alarms, Exaforce is setting a new standard for security.
