Security operations centers (SOCs) are drowning in data, and most “AI-powered” tools do little more than help junior analysts sort through alerts. Exaforce is betting big on a broader vision.
The startup today unveiled its agentic AI SOC platform, combining AI-native capabilities across the entire SOC lifecycle—threat detection, alert triage, investigation, hunting, and response—alongside a managed detection and response (MDR) service. It’s a bold play that aims to collapse the patchwork of point solutions security teams have been juggling for years.
Beyond AI Assistants
Most SOC vendors sprinkle machine learning on narrow tasks like alert triage. Exaforce says that’s yesterday’s model. By applying multi-model AI to unify logs, third-party alerts, cloud configs, identity data, source code, and more, the platform delivers reasoning on par with a Tier-3 human analyst.
Teams interact with Exabots (task-specific AI agents) that handle detection, triage, and remediation workflows inside a single interface—no more context switching between SIEMs, UEBA tools, and orchestration dashboards.
Key capabilities include:
- Threat Detection: AI-driven detections for IaaS and SaaS, without endless rule writing.
- Alert Triage: Cuts false positives by automatically analyzing and enriching external alerts.
- Threat Hunting/Investigation: AI copilots help analysts trace attack paths, slashing mean time to investigate from hours to minutes.
- Response Automation: Agentic workflows handle resets, device isolation, and user session terminations at machine speed.
“Unlike most existing players solving only small pieces of SOC optimization, Exaforce optimizes just about every area,” said James Berthoty, founder of analyst firm Latio, which named Exaforce the Leader in its 2024 AI Security Report.
SaaS or MDR: Pick Your Poison
Unlike competitors that lock buyers into one model, Exaforce offers both:
- SaaS: For teams augmenting their own SOC, deployed regionally to maintain data sovereignty.
- MDR: For organizations outsourcing ops, combining human expertise with AI-driven precision at a lower cost than traditional MDR providers.
Either way, Exaforce promises to get customers live in “hours, not weeks.”
The Market Context
SOC teams are stretched thin. Even small companies wrangle terabytes of data from SaaS, cloud infrastructure, endpoints, and email—an impossible volume for traditional SIEM-driven processes. While Palo Alto Networks, Microsoft, and CrowdStrike have all been touting AI-infused SOC features, most are still scoped to Tier-1 analyst functions or bolt-ons to legacy systems.
Exaforce is positioning itself as the “end-to-end AI SOC”—not an assistant, but a replacement for multiple legacy components. If it delivers, that could rattle incumbents whose AI roadmaps remain narrowly focused.
Industry Reception
The platform has already landed customers across financial services, energy, manufacturing, and tech. Automation Anywhere credits Exaforce with cutting investigation workloads by 50%. Other adopters include Accton, Commonwealth Fusion Systems, NTT Data, and Invisible Technologies.
CEO Ankur Singla framed the mission as democratization: “Every organization, no matter its size, should defend itself with the same confidence as the world’s largest enterprises.”
With SOC burnout rising and attack surfaces expanding to include AI workloads and SaaS sprawl, Exaforce’s timing may be just right. The real test? Whether agentic AI can consistently replace human effort without drowning teams in its own complexity.
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