7AI Raises $130M in Largest Cybersecurity Series A Ever for Agentic Security Infrastructure
7AI raised $130 million in the largest cybersecurity Series A funding round in history, validating autonomous AI agents as the infrastructure solution to enterprise security operations that can’t scale with traditional approaches.
The Boston-based company, led by Cybereason co-founder Lior Div, has processed over 2.5 million security alerts and completed more than 650,000 autonomous investigations in just 10 months since emerging from stealth. The Index Ventures-led round, with participation from Blackstone Innovations Investments, signals enterprise confidence in agentic security infrastructure that replaces human-driven alert triage with AI agents that investigate threats autonomously.
Security Operations Scaling Crisis
Enterprise security teams face a fundamental mathematics problem: exponentially increasing threats and alerts requiring linear human investigation capacity. Traditional security information and event management (SIEM) architectures require security analysts to manually investigate thousands of daily alerts, with mean time to respond measured in hours while threats move in minutes.
“There’s a fundamental flaw in how we’ve approached security operations for the past two decades. We keep adding more people and detection tools to handle exponentially increasing threats and alerts. The math just doesn’t work,” said Lior Div, CEO and co-founder of 7AI.
The infrastructure bottleneck creates a cascade of security vulnerabilities: burned-out Level 1 and Level 2 analysts, false positive rates consuming investigation capacity, and enterprises unable to scale security operations proportionally with threat volume.
Autonomous Security Investigation Architecture
7AI’s platform deploys AI agents that autonomously investigate security alerts across cloud, identity, and endpoint detection platforms without requiring centralized data storage. The agents investigate data where it lives, eliminating expensive SIEM architectures that duplicate data and create response lag.
The technical breakthrough centers on agents that adapt investigation patterns based on threat context rather than following predetermined automation workflows. Unlike traditional security orchestration that executes static playbooks, 7AI agents dynamically adjust investigation scope and methodology based on real-time threat intelligence and environmental context.
Key architectural innovations include:
Dynamic Investigation Workflows: Agents modify investigation approaches based on alert characteristics, infrastructure topology, and threat intelligence rather than executing fixed automation sequences.
Infrastructure-Native Operation: Investigation occurs across existing security tools without requiring data centralization, reducing storage costs and eliminating data transfer delays.
Contextual Risk Assessment: AI agents evaluate threats within organizational context, significantly reducing false positive rates through understanding of normal vs. anomalous behavior patterns.
Enterprise Production Validation
Fortune 500 enterprises across financial services, retail, technology, and healthcare have deployed 7AI agents at scale, with customers reporting 95-99% false positive elimination and investigation time reduction from hours to minutes.
DXC Technology completed the world’s largest agentic security deployment in eight weeks, transforming from initial conversation to global production deployment. “What impressed us about 7AI was the speed – we went from first conversation to the world’s largest agentic security deployment in just eight weeks,” said Raul Fernandez, President and CEO of DXC Technology.
The enterprise validation demonstrates infrastructure maturity beyond proof-of-concept demonstrations. Production deployments process thousands of daily alerts while maintaining security team oversight of strategic threat hunting and policy development rather than repetitive investigation tasks.
Agentic Security Infrastructure Category Emergence
The funding validates agentic security as a distinct infrastructure category separate from traditional security orchestration, automation, and response (SOAR) platforms. While SOAR tools execute predetermined workflows, agentic security infrastructure enables autonomous decision-making and adaptive investigation strategies.
“7AI is the clear leader in agentic security. Fortune 500 customers are experiencing measurable results at scale within weeks of adopting the solution,” said Shardul Shah, Partner at Index Ventures, who joins 7AI’s board of directors.
The category emergence reflects broader infrastructure transformation where autonomous agents replace human-performed repetitive analysis with AI-driven investigation capabilities that scale independently of human operator capacity.
Security Infrastructure Architecture Evolution
7AI’s approach represents fundamental rethinking of security infrastructure architecture developed over two decades. Traditional SIEM-centric approaches require data aggregation, correlation rule development, and human investigation workflows that create bottlenecks at scale.
The agentic infrastructure model investigates threats across distributed security tools without centralized aggregation, enabling enterprises to augment existing infrastructure investments rather than requiring complete replacement. This architectural flexibility allows gradual migration from traditional security operations centers toward agent-driven investigation workflows.
The model also transforms security team roles from alert triage toward strategic threat hunting, proactive defense development, and AI agent oversight rather than repetitive investigation tasks.
Looking Forward
7AI plans to expand engineering and go-to-market teams while developing channel partnerships for enterprise deployment scaling. The company is working with federal agency partners for 2026 deployments, indicating government validation of agentic security infrastructure for sensitive environments.
The infrastructure category development suggests broader transformation of security operations from human-intensive alert processing toward autonomous threat investigation with human oversight of strategic security decision-making.
Enterprise security leaders implementing agentic infrastructure report positioning themselves as “Chief Innovation Security Officers” who demonstrate measurable AI transformation results rather than presenting implementation roadmaps to boards demanding AI adoption evidence.
The emergence of agentic security infrastructure addresses a fundamental scaling crisis in enterprise security operations. As organizations deploy AI agents across business processes, securing those agents requires security infrastructure that operates at agent speed and scale—exactly the capability that traditional human-driven security operations cannot provide.
For teams orchestrating AI agent deployments across enterprise environments, platforms like Overclock offer complementary infrastructure for managing agent workflows and coordination alongside specialized security infrastructure ensuring those agents operate safely at scale.