🎙️ Episode 1: AI SOC releases 2nd September.

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Episode 1 lineup
Exaforce

Episode 1 · Vendor

Exaforce

Agentic AI SOC · MDR · SIEM Modernisation

AI gave attackers machine scale. Now you have the advantage.

About

Exaforce is an agentic SOC platform and MDR service built on a unified data layer and a real-time knowledge graph, letting security teams detect, triage, investigate, and respond to AI-era threats with AI agents working alongside human analysts.

Founded in 2023 by a team drawn from Google, F5, and Palo Alto Networks, Exaforce has raised $200M to date, including a $125M Series B announced in May 2026 with participation from HarbourVest, Peak XV, Mayfield, Khosla Ventures, and Seligman Ventures.

Vision

Start at the data, not the alert. Give security teams a tenfold reduction in human-led SOC work without giving up accuracy or control.

What they deliver

Agentic SOC across identity, cloud, endpoint, code, and SaaS
Real-time data platform with 100+ integrations
Multi-model AI: data semantics, behavioural baselining, ML, and LLMs
Tier 1 to Tier 3 analyst work handled autonomously, 24/7
Autonomous response workflows with analyst oversight
Run it yourself, or have Exaforce operate it as MDR

Product portfolio

Exabot Detect

Coverage without the blind spots

Continuously monitors critical IaaS and SaaS environments, correlating behavioural baselines to catch complex attacks across AWS, Okta, GitHub, and more while cutting false positives.

Exabot Triage

Verdicts in minutes, not hours

Runs autonomous Tier 1 to Tier 3 investigations across SIEM, EDR, and phishing tools, classifying every alert as false positive, benign, or needs investigation with context-rich reasoning.

Exabot Investigate

Analysis without SQL

Natural-language search and a BI-style interface over the unified data layer, so analysts can pivot across events and identities without writing queries.

Exabot Respond

Multi-step response, automated

Turns multi-step responses into dynamic autonomous workflows, executing user verification, containment, and access revocation with built-in error handling.

Why it matters

Business outcomes

  • 90% reduction in false positives
  • 95% reduction in mean time to investigate
  • Under 30 minutes on average from alert to response
  • 60 to 80% less analyst workload, with 100% of alerts reviewed in real time
  • Over $600K average saving versus a traditional SOC stack
  • Fixed infrastructure costs, without headcount growing alongside alert volume

Why Exaforce

  • Starts at the data rather than the alert, on a unified semantic model
  • Multi-model AI engine instead of a single LLM, for deterministic results
  • One platform spanning identity, cloud, endpoint, code, and SaaS
  • Operator choice: self-run platform or fully managed MDR
  • 100+ integrations including AWS, Azure, GCP, Okta, GitHub, CrowdStrike, SentinelOne, Splunk, Cloudflare, and Wiz
  • 2025 GigaOm Radar Leader, 5.0 on Gartner Peer Insights, 4.8 on G2

Industries served

Biotech Fintech Manufacturing Healthcare High-growth technology companies Global enterprises

Detect, triage, investigate, and respond faster with AI and data.

See Exaforce in Episode 1