Exaforce announced today that it has raised $75 million in Series A funding led by marquee investors Khosla Ventures, Mayfield, and Thomvest to develop an Agentic SOC Platform that provides AI agents (called Exabots) and advanced data exploration that gives customers a tenfold reduction in human-led SOC work, while dramatically improving security outcomes.
Created by leaders with multiple successes and extensive expertise in AI and cybersecurity at companies such as Google, F5, and Palo Alto Networks, Exaforce developed the first multi-model AI for solving challenges in security and operations. This approach blends LLMs with semantic and behavioral models into a powerful AI engine that enables unprecedented accuracy, repeatability, and efficiency for the SOC.
Enterprises have been seeking a SOC solution that delivers effective and consistent responses to threats, faster at detecting and investigating issues, and cheaper to scale defenses on demand without scaling people. However, SOC analysts face a deluge of alerts, most of which are false positives that require tedious analysis of massive datasets, burdening them with manual tasks like log stitching, user validation, and ticket management, which drain resources and slow response times. And detection engineers struggle with threat coverage in cloud environments where native threat detection is often lacking and traditional SIEMs offer inadequate coverage.
This forces them to maintain complex SQL/Python code sets, but major detection gaps remain. Threat hunters also deal with manual and time-consuming workflows that impede proactive threat detection, making it challenging to stay ahead of attackers.
Addressing these challenges requires an innovative team with concentrated cybersecurity, AI, and cloud operations backgrounds. And Exaforce’s founding team unites expertise across all three with firsthand experience leading the world’s most complex SOC environments.
They ran large-scale security services at F5, protecting the world’s biggest banks and social networks, designed the complex models underlying Google’s AI services, spearheaded the industry-leading cloud security platform at Palo Alto Networks, and founded and scaled multiple startups. With these experiences, Exaforce’s founding team has gained a front-row seat to the problems faced in today’s SOC and a nuanced grasp of AI’s potential and pitfalls.
The right AI solution for the SOC must analyze enormous volumes of logs, cloud telemetry, and threat data to make rapid, high-stakes decisions. And agentic solutions that rely solely on LLMs can only review a fraction of that data at once, resulting in incomplete problem analysis and unreliable and hallucination-prone reasoning.
Exaforce overcomes these barriers with a layered AI engine purpose-built for security and operations. And it applies these models in combination, starting with a semantic data model along with statistical and behavioral models, to extract key insights, behaviors, and relationships from raw data and then performing deeper analysis with knowledge models.
This structured use of multiple models right-sizes and improves the quality of SOC data, which is then fed into LLMs, enabling end-to-end reasoning across the full scope of data. And this approach avoids the blind spots of systems that use only LLMs and delivers more accurate, repeatable results.
While in stealth, the company has been working with over ten leading enterprises in technology, AI software, energy, and manufacturing to refine this multi-model approach and deliver significant daily SOC gains in the process.
KEY QUOTES:
“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. 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.”
– Pranay Anand, Vice President at NTT Data
“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. 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.”
– Navin Chaddha, Managing Partner at Mayfield
“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. 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.”
– Ankur Singla, CEO of Exaforce
