Security analysts, threat hunters, and detection engineers have long been overwhelmed by alert fatigue, fragmented tools, and endless manual tasks. These teams spend countless hours stitching logs, validating users, and writing detection code. These tasks are essential, but draining. As threats become more sophisticated and SOC burnout worsens, organisations are increasingly at risk. The current solutions simply aren’t keeping pace. Exaforce is changing the game with its Agentic SOC Platform, powered by AI agents called Exabots.
The US cybersecurity startup that is shaking up the industry has raised $75 million in Series A funding, the largest in its space. It is backed by Khosla Ventures, Mayfield, and Thomvest.
The funding will accelerate the product development of Exaforce’s Agentic SOC Platform and enhance its multi-model AI engine. The investment will support hiring across engineering and AI teams, expand enterprise pilots, and scale infrastructure for large deployments. It will also fuel go-to-market efforts, customer support, and global expansion. With this backing, Exaforce aims to deliver a tenfold reduction in manual SOC work and significantly improve enterprise security outcomes worldwide.
Built an expert who’s lived the problem
Founded by Ankur Singla in 2023, the Exaforce team brings decades of experience from industry powerhouses like Google, Palo Alto Networks, and F5. Their leadership has operated large-scale SOCs, built complex AI models, and launched successful startups, giving them a rare combination of technical expertise and operational insight.
This deep understanding of real-world SOC pain points informed their decision to move beyond generic AI approaches. Instead, Exaforce developed a layered AI engine that structures and processes security data more intelligently, ensuring that insights are not only rapid but also reliable.
These autonomous agents don’t aim to replace skilled professionals but instead augment them, freeing human talent from repetitive work and enabling them to focus on higher-value tasks. Unlike traditional AI solutions that rely solely on Large Language Models (LLMs), Exaforce deploys a multi-model AI architecture designed specifically for the demands of security operations. This architecture blends semantic, behavioural, statistical, and LLM-based reasoning to deliver a richer, more accurate understanding of threat environments.
A multi-model AI for full-spectrum security
One of Exaforce’s key innovations is how it processes data. Exaforce’s multi-model engine starts by applying semantic and behavioral models to organise and extract patterns from raw telemetry. Then, it uses knowledge models to dive deeper into correlations and anomalies. Finally, it leverages LLMs for natural language reasoning, but only after the data has been structured and interpreted. This layered process enables a full-scope analysis that is scalable and far more accurate than LLM-only approaches.
While still in stealth mode, Exaforce has worked closely with over ten Fortune 500 companies in industries like tech, AI software, energy, and manufacturing. Early deployments of the Agentic SOC Platform have shown dramatic improvements in SOC performance, reducing human-led workload by up to 10x and speeding up threat response.
What’s next for Exaforce?
The shortage of skilled security professionals and the increasing complexity of cyber threats demand a smarter solution. Exaforce offers a human-centred, AI-powered platform that automates complexity without sidelining expertise. As cyber threats evolve, so must the tools we use to fight them. With its agentic architecture and enterprise-grade validation, Exaforce is poised to redefine how organisations secure their systems not only by replacing people, but by empowering them.
“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.”
“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.”
“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, 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. This approach has delivered 10x improvements in SOC efficiency and efficacy to our design partners.”
