Exaforce Secures $75M to Build AI Agents That Redefine the Security Operations Center

In a major push to automate cybersecurity defense, Exaforce announced it has raised $75 million in Series A funding to develop its Agentic SOC Platform—an ambitious new AI system designed to radically transform how enterprises detect and respond to cyber threats.

The round, led by Khosla Ventures, Mayfield, and Thomvest Ventures, fuels the company’s mission to tackle a longstanding dilemma: the crushing burden placed on Security Operations Center (SOC) teams. Exaforce’s platform, which uses autonomous AI agents called "Exabots," promises to slash human-led SOC work by 90%, while simultaneously boosting speed, precision, and resilience across cloud and SaaS environments.

“We believe Exaforce’s multi-model approach is unique in the industry and will dramatically reduce the false positives and investigation times we experience in our cloud and SaaS environments,” said Pranay Anand, Vice President at NTT Data. “The platform augments our SOC teams by delivering streamlined security operations and faster incident response for every client, freeing up more time to focus on proactive threat hunting."

An Overwhelmed Defense Line

SOC analysts today are drowning in a sea of alerts, many of them false alarms, forcing them to juggle endless logs, manual threat validation, and incident ticket management—processes that siphon away time and expose organizations to greater risk. Cloud security further complicates the landscape: native threat detection tools often fall short, leaving detection engineers to cobble together homegrown solutions in SQL or Python. Meanwhile, skilled security professionals remain in critically short supply, driving up burnout and operational costs.

It’s a broken model that Exaforce’s founders—veterans from Google, F5, and Palo Alto Networks—know intimately. Drawing on years spent scaling global security platforms and AI systems, they set out to build a platform that could act not merely as an assistant, but as a true AI teammate.

“At Mayfield, we invest in founders first and foremost, which is why we backed Exaforce at the ideation stage in our third collaboration with Ankur Singla," said Navin Chaddha, Managing Partner at Mayfield. "What excites us is how Exaforce is reimagining the massive opportunity of developing AI teammates to offload complex tasks that help humans increase productivity and efficacy, and they are starting with the SOC market where the problems of skills and talent are acute. The team's progress since those initial whiteboard sessions—securing a dozen enterprise design partners, and delivering 10x improvements in SOC efficiency—validates our early conviction that Exaforce is building something revolutionary in the collaborative intelligence era.”

Beyond LLMs: A Multi-Model Revolution

Where most Agentic AI efforts lean heavily on large language models (LLMs) alone—often resulting in hallucinated answers and missed threats—Exaforce takes a layered approach. Its platform weaves together semantic models, behavioral models, and statistical engines before even introducing LLMs into the process. This orchestrated fusion allows Exabots to reason across vast, chaotic datasets, extracting key behaviors and patterns with higher fidelity and lower error rates.

The goal: smarter, faster, and repeatable incident detection that doesn't collapse under the scale of modern enterprise environments.

“Our vision is to empower SOC teams with an intelligent platform that allows humans to collaborate seamlessly with AI agents—integrating precise human oversight with advanced automation,” said Ankur Singla, co-founder and CEO of Exaforce. “By harnessing Exabots alongside advanced data exploration, we reduce false positives and eliminate tedious busywork—all while giving humans the flexibility to choose where they want to be hands-on.”

Already in stealth partnerships with over a dozen enterprises in tech, energy, and manufacturing sectors, Exaforce claims its design partners have achieved tenfold improvements in SOC efficiency by integrating Exabots into daily operations.

Betting on Collaborative Intelligence

The bigger bet Exaforce is making is on what it calls "collaborative intelligence"—an era where AI doesn’t replace humans but augments them. Its approach blends automation with flexible oversight, allowing security teams to step in where strategic human judgment is essential, and automate the rest.

If successful, Exaforce could reshape not only cybersecurity operations but also the broader playbook for enterprise AI: building multi-model systems that embrace complexity rather than oversimplifying it through a single LLM.

Exaforce is entering a crowded but rapidly evolving market at a time when enterprise buyers are growing more skeptical of AI hype and more demanding of results. Their next challenge will be to prove that collaborative AI agents can deliver the consistency, speed, and trust needed to secure tomorrow’s digital infrastructure—before attackers figure out how to exploit today’s SOC vulnerabilities faster than defenders can patch them.