Security professionals face growing pressure from endless alerts, disconnected tools, and routine tasks. Analysts and engineers spend hours reviewing logs, verifying identities, and writing detection rules—essential work that leads to fatigue. As threats become more advanced, traditional tools fall short. Exaforce aims to change that with its Agentic SOC Platform, powered by purpose-built AI agents called Exabots.
The U.S.-based startup has raised $75 million in a Series A round—the largest ever for a cybersecurity company at this stage. Khosla Ventures led the funding, with participation from Mayfield and Thomvest. The investment will help Exaforce accelerate product development, expand its AI and engineering teams, and grow global operations. The company aims to cut manual security workloads by 90% while improving threat detection.
Exaforce is Built by Security Veterans With a Practical Vision
Founded by Ankur Singla in 2023, Exaforce brings together talent from companies like Google, Palo Alto Networks, and F5. These professionals have run enterprise SOCs, built AI systems, and launched successful startups. Their direct experience shaped the company’s belief that AI should enhance, not replace, human analysts.
Instead of relying only on large language models, Exaforce uses a layered AI approach. It combines semantic, behavioral, statistical, and language-based models to understand threats and automate routine tasks. This method helps reduce false positives and improves response speed.
Exaforce’s Exabots work alongside human teams. They analyze telemetry, detect anomalies, and take action within guardrails set by analysts. The result is more efficient SOC operations, reduced noise, and faster time to resolution.
Scaling Smarter Security Across Global Enterprises
Though still in stealth mode, Exaforce is already working with more than ten Fortune 500 companies. Partners include firms in energy, software, and manufacturing. In early deployments, the Agentic SOC Platform reduced analyst workloads by up to tenfold and improved detection accuracy.
The platform avoids common issues with LLM-only systems by processing data with structured models first. LLMs come in later, only after patterns and context are established. This sequencing increases precision and limits hallucinations.
Pranay Anand, Vice President at NTT Data, noted that Exaforce’s platform “dramatically reduces false positives” and enhances response speed. Navin Chaddha, Managing Partner at Mayfield, said Exaforce stood out early on for its “vision of AI teammates, not tools.”
“Our goal is to let analysts focus on what matters,” said CEO Ankur Singla. “Exabots reduce noise and eliminate repetitive work. Analysts stay in control and engage only where needed.”
With strong funding, a skilled team, and clear momentum, Exaforce is poised to reshape cybersecurity operations and empower human-led defense at scale.
