Exaforce Raises $75M Series A to Transform Security Operations with Multi-Model Agentic AI

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Exaforce, a cutting-edge cybersecurity startup, has emerged from stealth mode with a bang, announcing a $75 million Series A funding round led by Khosla Ventures, Thomvest Ventures and Mayfield. The funding will fuel the event of Exaforce’s groundbreaking Agentic SOC (Security Operations Center) Platform—designed to revolutionize how enterprises handle security and operations through a novel mix of AI models and automation.

On the core of Exaforce’s innovation is a robust combination of semantic data fabric and agentic AI, a term that refers to intelligent software agents capable of constructing decisions and taking actions on behalf of humans. These agents—called Exabots—work hand-in-hand with human analysts to slash the effort and time required to detect, investigate, and reply to cyber threats.

said Ankur Singla, CEO of Exaforce.

Tackling the Crisis in Cybersecurity Operations

Security operations today are buckling under pressure. Analysts face an awesome flood of alerts—a lot of them false positives—that require manual investigation. Engineers are forced to write down complex SQL or Python queries to discover threats in cloud environments where native tools fall short. Meanwhile, experienced threat hunters are bogged down by fragmented data and repetitive tasks.

The issue isn’t just technical—it’s also human. A world shortage of expert security professionals means many teams are stretched thin, facing burnout and struggling to maintain up with increasingly sophisticated threats.

Exaforce addresses these challenges head-on with its Agentic SOC Platform. By combining semantic, statistical, behavioral, and knowledge-based AI models before even introducing large language models (LLMs), Exaforce ensures deeper, more structured data evaluation with greater accuracy. This multi-layered approach is in sharp contrast to traditional AI systems that rely solely on LLMs—models like GPT-4—which might hallucinate or make reasoning errors when fed noisy or incomplete data.

explained Singla.

What Is a Semantic Data Fabric?

Exaforce’s platform hinges on a semantic data fabric—a framework that integrates and interprets data from disparate sources by understanding its meaning somewhat than simply its structure. This allows Exabots to attract contextual insights from massive volumes of security telemetry, cloud logs, and threat intelligence in real-time. It’s like giving your AI agents a shared brain that speaks the language of your entire IT infrastructure.

Paired with the system’s autonomous bots, the platform automates time-consuming tasks like log correlation, user validation, and ticket triage. Analysts can still jump in where their expertise is required, but they’re not stuck doing robotic, repetitive work.

Enterprise Traction Before Public Launch

Even before announcing its funding, Exaforce had quietly built momentum with greater than a dozen enterprise partners across technology, manufacturing, AI, and energy. These partners have already reported major gains in SOC productivity and incident response times.

said Pranay Anand, Vice President at NTT Data.

A Veteran Team with Deep Roots in AI and Cybersecurity

Exaforce just isn’t your average startup. Its founding team includes veterans from Google, Palo Alto Networks, and F5—individuals who have built a few of the most advanced AI systems and defended the world’s largest digital infrastructures. Their deep experience across cloud security, AI modeling, and SOC operations is clear within the platform’s design and execution.

That is the third time Mayfield has backed CEO Ankur Singla, underscoring their confidence in his leadership. “ said Navin Chaddha, Managing Partner at Mayfield.

Looking Ahead

With $75 million in fresh capital, Exaforce is poised to scale rapidly. The corporate plans to expand its platform, grow its team, and proceed refining its agentic AI architecture. Because the cybersecurity landscape becomes more complex, Exaforce is betting that the long run belongs to intelligent machines that augment—not replace—human defenders.

For security teams drowning in alerts and desperate for help, that future can’t come soon enough.

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