Exaforce
Agentic security operations (AI SOC) platform.
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Exaforce Expands Beyond the SOC Into AI Security: Runtime Visibility and Control of AI Agents and Applications
Exaforce expanded its AI security platform beyond traditional SOC operations to cover runtime visibility and control of AI agents and applications. The platform introduces agentless discovery, threat containment, usage monitoring, and an agent kill switch, extending earlier Claude Compliance API integration to support OpenAI, Gemini, and Microsoft Copilot models.
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Exaforce Launches AI Security to Detect and Shut Down Rogue AI Agents in Production
Exaforce launched Exaforce AI Security on September 15, enabling security teams to detect and terminate hostile AI agents operating across enterprise environments. The platform correlates disparate signals—agent activity, identity context, endpoint telemetry, and file access—to identify misuse and data exfiltration patterns that individual log entries would miss, addressing a critical gap in SOC operations as AI agents proliferate.
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Exaforce Launches ExaGo, Industry's First AI Voice-Powered Mobile AI SOC App
Exaforce announced ExaGo, a mobile AI voice interface for security operations that enables SOC analysts to interact with the platform through conversational commands and receive investigative answers in under a minute from anywhere. The app leverages Exaforce's real-time security knowledge graph architecture to correlate identities, cloud activity, vulnerabilities, and security telemetry for 10x faster investigations than manual methods.
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How to Evaluate an AI SOC Platform in 2026: 6 Capabilities That Separate Leaders from Bolt-On AI Solutions
Technical evaluation framework for AI SOC platforms highlighting six capabilities distinguishing mature agentic systems from feature additions. Exaforce's four Exabots (Detect, Triage, Investigate, Respond) operate on unified real-time data platform ingesting logs/configurations across cloud, SaaS, identity, endpoint, and code; Forcepoint achieved 14-minute MTTR on P0 incidents using agentic approach versus traditional MSSP hand-holding.
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Exaforce Achieves AWS Security and AI Competencies Validating Agentic SOC Operations
Exaforce, an AI-native security operations platform, achieved AWS Security and AI Competencies in June 2026, validating its agentic SOC approach. The platform uses AI agents called Exabots to automate threat detection, triage, investigation and response, claiming 90% reduction in manual tasks. Following a $125M Series B at $725M valuation (May 2026), Exaforce has added 20 customers including Replit and Guardant Health, demonstrating market traction for autonomous security operations.
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Exaforce Raises $125M Series B to Automate Security Operations with Agentic AI Detection and Response
Exaforce closed $125M Series B at $725M valuation to scale its agentic SOC platform built on 'Exabots' that automate detection, triage, investigation, and response with deep data analysis. The platform claims 90% reduction in manual tasks and introduces 'vibe hunting'—natural language queries for hypothesis-driven threat investigation—marking shift from reactive monitoring to AI-driven autonomous security operations.
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Exaforce Achieves AWS Security and AI Competencies, Validating Agentic SOC
Exaforce achieved AWS Security Competency and AWS AI Competency (expanded November 2025 to include agentic AI categories), validating its production-grade agentic SOC platform built on AWS services including Bedrock and SageMaker. The recognition confirms Exaforce's multi-model AI architecture as enterprise-ready for real-time threat reasoning and autonomous security operations at scale.
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What the 2026 Latio Security Operations Market Report Gets Right About the AI SOC
Exaforce earned AI Innovator, SIEM Disruptor, and User Reliability Leader recognition in Latio's 2026 report. The analysis distinguishes between tools that bolt LLM reasoning onto SOAR frameworks versus true AI-native architectures with real-time knowledge graphs built at ingestion—a technical distinction that determines whether automation produces signal or noise at scale.