Series B Funding Strengthens AI Security Operations Expansion
Exaforce has raised $125M in Series B funding. The round strengthens its position in AI-native security operations. It is one of the largest investments in the emerging AI SOC market. The funding reflects rising demand for real-time cyber defence systems at enterprise scale.
The round includes HarbourVest, Peak XV, Mayfield, Khosla Ventures, Seligman Ventures and AICONIC. It follows a $75M Series A completed one year earlier. The company now reaches $200M in total funding. This signals strong investor confidence in its long-term direction.
Exaforce will use the capital to scale its platform globally. It will also expand engineering and product development capacity. The focus is on real-time reasoning and faster threat response. The company is targeting machine-speed security operations.
Real-Time Knowledge Graph Powers Agentic Security Intelligence
Exaforce is built on agentic security operations. It uses AI agents called Exabots. These agents operate through a real-time security knowledge graph. This system delivers full contextual awareness for security decisions.
The platform connects identities, permissions, cloud activity and security events. It builds relationships instantly as data is created. This removes the need for manual reconstruction during investigations. Traditional systems rely on fragmented logs and repeated queries.
Exaforce completes investigations in under one minute. This is up to 10 times faster than legacy SOC systems. Those systems often require multiple queries and long reasoning chains. Exaforce eliminates this delay through pre-built contextual mapping.
The architecture reduces both time and compute cost. It retrieves context instead of rebuilding it repeatedly. This improves efficiency across enterprise environments. It also reduces token usage during investigations. Each event is directly linked to identity and permissions.
This improves reasoning accuracy across the platform. It also reduces false positives during detection. Security teams receive clearer and more reliable alerts. Exaforce CEO Ankur Singla said the platform is designed for defenders. He said it provides complete context from the start. He also said it unifies AI agents and security engineers in one system.
Enterprise Adoption Drives Operational Transformation
Enterprise adoption of AI-driven security platforms is transforming operational efficiency, enabling faster threat detection, automated investigations, and scalable cybersecurity across healthcare, technology, and financial services. Source: Created by Ventureburn.
Exaforce has grown rapidly over the past year. The company now has more than 130 employees. It has processed millions of security investigations. Growth has been driven by enterprise adoption across key industries.
Customers include organisations in healthcare, technology and financial services. Guardant Health is among its enterprise users. Replit is also part of its customer base. These organisations operate in high-risk digital environments.
Steve Mancini, CISO at Guardant Health, highlighted performance gains. He said detection and response improved significantly. He also said coverage expanded without additional headcount. This improved operational efficiency across teams.
Patrick McKinney, Vice President of Security at Invisible, described strong platform impact. He said Exaforce unified detection, response and automation. He also said it improved visibility across security data. This helped scale operations more effectively.
The platform supports natural language investigation through Exabots. Security teams can query threats using simple prompts. This reduces reliance on technical query systems. It improves accessibility across teams.
Exaforce also introduced Vibe Hunting. This feature enables hypothesis-driven investigation. It allows teams to explore potential threats faster. It strengthens proactive detection capabilities. The company plans to expand across Europe and Japan. These regions are key growth markets.
It is also investing in customer success and MDR services. These investments support enterprise-scale adoption. Vinod Khosla of Khosla Ventures said defence economics are shifting. He said reducing defence cost changes security outcomes. He believes Exaforce enables this shift in leverage.
More News: Havoc Raises $100M To Advance All-Domain Autonomous Systems
AI Security Arms Race Reshapes Global Cyber Defence
Cybersecurity threats are becoming faster and more automated. AI is increasingly used in attack methods. This is forcing organisations to adopt real-time defence systems. Speed is now critical for effective protection.
Exaforce claims its platform reduces manual workloads by up to 90 percent. This allows teams to focus on high-value investigations. It also improves response times during active incidents. Efficiency is a key driver of adoption.
The company competes with startups such as 7ai, Dropzone AI and Prophet Security. It also competes with established cybersecurity firms. These include Palo Alto Networks and CrowdStrike. Competition is intensifying across the AI SOC market.
Exaforce differentiates through its real-time data architecture. It builds context at ingestion rather than during investigation. This enables faster and more accurate decision-making. It reduces delays in threat analysis workflows.
The broader industry is shifting toward AI-native security operations. These systems operate at machine speed. They are designed to automate detection and response. Exaforce is positioned within this transition.
Exaforce continues to scale as cyber threats evolve rapidly. Its platform focuses on real-time detection and response at machine speed. The company is building next-generation security infrastructure for global enterprises.
To stay updated on crypto venture capital funding and market trends, visit our venture capital news section for more insights.
