Exaforce, a cutting-edge cybersecurity startup that has emerged from stealth mode and has announced a $75 million Series A financing led by Khosla Ventures, Thomvest Ventures and Mayfield. Funding will drive the development of Exaforce’s groundbreaking agent SOC (Security Operations Center) platform designed to revolutionize how businesses handle security and operations through a unique convergence of AI models and automation.
At the heart of Exaforce innovation is a powerful combination of semantic data structures and proxy AI, the term refers to an intelligent software agent that can make decisions and act on behalf of humans. These agencies, called Exabots, aggregate with human analysts to cut the time and effort needed to detect, investigate and respond to cyber threats.
“Our vision is to empower the SOC team to reduce busyness and enhance decision-making smart agents,” he said. explain Exaforce CEO Ankur Singla. “By leveraging multi-model AI, we’re seeing 10 times the improvement in efficiency and accuracy – unleashing security professionals to focus on what really matters.”
Solve crises in cybersecurity operations
Today’s safety actions buckled under pressure. Analysts face overwhelming alarm floods (many of which false alarms) need to be investigated manually. Engineers are forced to write complex SQL or Python queries to identify threats in cloud environments where native tools are insufficient. Meanwhile, experienced threat hunters are stuck with scattered data and repetitive tasks.
This problem is not only technology, but also humans. The shortage of skilled security professionals around the world means many teams are thin and face burnout and effort to keep up with increasingly complex threats.
Exaforce solves these challenges head-on with its proxy SoC platform. By combining Semantics, statistics, behaviors and knowledge-based AI models Even before large language models (LLMs) were introduced, Exaforce ensures deeper, more structured data analytics. This multi-layer approach contrasts sharply with traditional AI systems that rely solely on LLM (such as GPT-4), which may hallucinate or make inference mistakes when adding noisy or incomplete data.
“LLMs are powerful, but they can’t handle the complexity of real-world SoC data only” Explained Singla. “That’s why we start with a model that cleans and constructs the data first – and then we hand it over to the language model for advanced reasoning.”
What is a semantic data structure?
Exaforce’s platform depends on semantic data structures, and the framework integrates and interprets data from different sources by understanding its meaning rather than just its structure. This allows Exabots to gain contextual insights from a large number of security telemetry, cloud logs, and threat intelligence in real time. It’s like giving your AI agent a common brain that speaks the language of your entire IT infrastructure.
The platform is paired with the system’s automated robots to automate time-consuming tasks such as log correlation, user verification, and ticketing classification. Analysts can still jump into places where expertise is needed, but they are no longer stuck in robotic, repetitive work.
Corporate traction before public launch
Even before announcing its funding, Exaforce quietly built momentum across more than a dozen corporate partners in technology, manufacturing, artificial intelligence and energy. These partners have reported significant benefits from SOC productivity and incident response time.
“Exaforce’s Multi-Model AI is a game-changer,” explain Pranay Anand, Vice President of NTT Data. “It greatly reduces false positives and streamlines our response in complex cloud and SaaS environments.”
A senior team deep in AI and cybersecurity
Exaforce is not your average startup. Its founding team includes veterans from Google, Palo Alto Networks and F5, who built some of the most advanced AI systems and defended the world’s largest digital infrastructure. They are evident in the design and execution of the platform, and they have deep experience in cloud security, AI modeling and SOC operations.
This is Mayfield’s third time supporting CEO Ankur Singla, highlighting their confidence in leadership. “Exaforce is reimagining what AI can do for humans. ” explain Navin Chaddha, Managing Partner at Mayfield. “Their early traction proves that they are building truly transformative.”
Looking to the future
Exaforce has $75 million in new capital and is expected to expand rapidly. The company plans to expand its platform, grow its team, and continue to refine its proxy AI architecture. As the cybersecurity landscape becomes more complex, Exaforce bets on the future to belong to intelligent machines, augmenting (rather than replacing) human defenders.
For security teams that are flooding alerts and eager to seek help, the future cannot be soon.
