Exaforce
AI SOC platform unifying Exabots agents with an integrated knowledge graph data layer and a multi model engine, positioned as a SIEM cost counterweight with complete log visibility.
Exaforce builds an agentic SOC platform that pairs its AI agents, the Exabots, with its own data layer, so investigations reason over telemetry the platform ingests rather than only over what existing tools surface. The company closed a $125 million Series B in May 2026. Four Exabots split the work: Detect finds threats, Triage cuts false positives, Investigate runs investigations without SIEM query work, and Respond takes action.
The technical distinction is a multi model engine. A semantic model maintains a living map of the relationships between the customer's identities, resources and actions; a behavioral model baselines what normal looks like for every entity and scores anomalies; and a knowledge model blends security expertise, external intelligence, the customer's business context and its historic decisions and confirmations, with LLMs reasoning on top.
The data platform ingests and normalizes data from more than 120 sources, and Exaforce positions it as a replacement for a legacy SIEM. Exabot Respond acts in the customer's systems, quarantining endpoints and emails, isolating hosts and suspending users or revoking sessions across Okta, Entra ID and AWS, through workflows built in a visual builder with conditions, loops, branching and approval steps sent to Slack, Teams or email, and every decision and approval is audited. A managed MDR service runs on the same platform.
Exaforce names SOC 2 Type 2 and ISO 27001. Its product documentation sits behind the customer login and its trust center renders only in a browser, so its access controls, hosting regions and any API are not documented on public pages. No pricing is published. For a team willing to move its security data onto a new platform in exchange for a unified detection layer, Exaforce is the architecture to evaluate; a team that wants triage on the stack it already runs, without moving data, is looking for an overlay product instead.
Vendor details
Canonical URL
https://www.exaforce.com
Category
Security / SOC agent
Subcategory
AI SOC platform
Funding status
Independent, closed a $125 million Series B in May 2026 behind its Exabots agents and data platform.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Ingests cloud and SaaS telemetry into an integrated knowledge graph data layer rather than only querying existing tools, combining data ingestion models, behavioral machine learning, and large language models. Multi model reasoning across the estate, investigative graph visualizations, natural language business context, and flexible deployment, positioned to cut SIEM storage and licensing costs.
In practice
Your overlay tools only see what the SIEM already surfaces. Exaforce ingests cloud and SaaS telemetry into its own data layer so investigations reason over complete logs.
SIEM storage and licensing costs keep climbing. Exaforce holds the data layer itself and is positioned to offset those costs while expanding detection coverage.
LLM only triage misses behavioral anomalies. Exaforce combines data ingestion models, behavioral ML, and LLMs so detection catches what single model reasoning does not.
Sources & related URLs
Research sources
Agentic Index coverage score
8.0 / 14 capabilities · 57%
| Integrations & Tool Calling | Full |
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More than 120 integrations ingest and query the customer's sources, and Exabot Respond takes action in them: quarantining endpoints and emails, isolating hosts, updating security groups, and suspending users, resetting MFA and revoking sessions across Okta, Entra ID and AWS, plus tickets in ServiceNow. Sourceexaforce.com/platform/exabot-respondread 2026-09-28 |
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| Workflow Orchestration | Full |
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Buyers build response workflows in a visual drag and drop builder with nodes for conditions, actions, approvals, AI reasoning, loops and branching, and can mix autonomous and approved steps in one workflow, beside the Detect, Triage, Investigate and Respond Exabots. Sourceexaforce.com/platform/exabot-respondread 2026-09-28 |
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| Knowledge Grounding & RAG | Full |
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A semantic model builds and maintains relationships between the customer's identities, resources and actions as a living map of the environment, over a data platform that ingests and normalizes the customer's security data, with the customer's business context (org structure, policies, roles) layered in. Sourceexaforce.com/platform/multi-model-airead 2026-09-28 |
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| Human Oversight & Guardrails | Full |
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Response workflows can require human approval through Slack, Teams or email before an action runs, with timeouts falling back to safe defaults (pause, rollback or limited containment), and responses are described as approved and reversible. Sourceexaforce.com/platform/exabot-respondread 2026-09-28 |
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| Security, Identity & Governance | Partial |
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The vendor names SOC 2 Type 2 and ISO 27001, with PCI DSS and HIPAA support. SSO, SCIM and roles are not documented publicly; the product docs sit behind the app login, and the trust center is at trust.exaforce.com. Sourceexaforce.com/blogs/exaforce-agentic-soc-2025-year-in-reviewread 2026-09-28 |
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| Observability & Auditability | Full |
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Every decision and approval in a response workflow is fully audited, and the team gets full visibility into every decision and action the Exabots take, with investigations shown in case context and explainable anomaly scores. Sourceexaforce.com/platform/exabot-respondread 2026-09-28 |
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| Memory & State Persistence | Partial |
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The knowledge model draws on historic decisions, user confirmations and outcomes, so state carries across investigations, but no memory store with a stated scope or lifetime is documented. Sourceexaforce.com/platform/multi-model-airead 2026-09-28 |
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| Deployment & Data Residency | Not documented |
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No hosting region or customer environment option is published (the login host carries a us label, and self managed means the customer's team runs the SOC, not the software); the product docs at docs.exaforce.com sit behind the app login, and a trust center runs at trust.exaforce.com. Sourcetrust.exaforce.comread 2026-09-28 |
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| Prebuilt Agents, Templates & Packs | Full |
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Four named prebuilt agents with separate jobs, Exabot Detect, Exabot Triage, Exabot Investigate and Exabot Respond, each doing its own stage of SOC work. Sourceexaforce.comread 2026-09-28 |
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| Triggers & Channel Coverage | Full |
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Detections and alerts from ingested telemetry start triage and investigation without a person asking, and response workflows trigger automatically, on a schedule or manually. Sourceexaforce.com/platform/exabot-respondread 2026-09-28 |
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| Model Flexibility & Routing | Not documented |
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Exaforce combines its own semantic, behavioral and knowledge models with LLMs whose providers are not named, and offers no model choice. Sourceexaforce.com/platform/multi-model-airead 2026-09-28 |
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| APIs, SDKs & MCP Extensibility | Not documented |
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The product docs at docs.exaforce.com sit behind the app login, a gate the vendor chose, and no API, SDK or MCP server for the Exaforce platform is published. Sourceexaforce.com/platform/integrationsread 2026-09-28 |
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| Testing, Debugging & Optimization | Not documented |
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The Exabots come with no documented evaluation harness, scored test cases, quality gate or optimization loop; outcome figures on the homepage are the vendor's own claims. Product docs sit behind the app login. Sourceexaforce.com/platform/multi-model-airead 2026-09-28 |
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| Browser & Computer Use | Not documented |
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No page documents an Exabot driving a browser, desktop or remote computer; agents act through integrations. Sourceexaforce.comread 2026-09-28 |
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The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Recent platform changes
Exaforce added Agentless AI Security at Runtime, giving security teams visibility and control over AI agents and agentic apps from endpoint to cloud, including the skills and LLM APIs they use.
Bears on: Security / enterprise
View sourcePricing
Contact sales; enterprise contracts, positioned to offset SIEM cost
enterprise contract
Included quota
Platform contract covering the Exabots agents and integrated data layer across cloud and SaaS telemetry; no public tiers.
What is public
Nothing numeric; the SIEM cost counterweight positioning and MDR option are public.
Billing mechanics
Enterprise platform contracts through sales covering the agent layer plus integrated data layer, with a managed MDR option. Pricing not disclosed.
Cost watchouts
Data ingestion onto the platform can carry migration work during cutover, a cost an overlay product avoids (an inference from the architecture). Weigh that and platform cost against projected SIEM storage and licensing savings.
Variable cost rationale
Integrated data layer platforms generally scale cost with ingested data volume; unpublished terms plus ingestion based architecture put likely exposure at medium.
Additional watchouts
Moving security data onto the Exaforce data platform is part of adoption; as an inference from the architecture, plan for cutover work and model it against any SIEM savings.
Overage / add-ons
No public metering documented; data layer platforms typically price on ingested data volume, but Exaforce does not publish terms.
Sales call required
Yes, required for paid access
Free / trial
Enterprise evaluations through sales; no self serve trial
Lowest paid plan
None public; enterprise contract only
Commercial notes
Independent, $125 million Series B May 2026 behind the Exabots and the data platform. A managed MDR service runs on the same platform.
Key ambiguities
Nothing numeric is public, and the SIEM savings that offset cost depend heavily on current SIEM spend and data volume.
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Alternatives to Exaforce
The closest documented capability profiles to Exaforce among security and SOC agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- 7AI8.5 / 14Adds documented Deployment & Data Residency
- Quantro Security7.0 / 14A lighter documented profile than Exaforce
- Conifers.ai9.5 / 14Adds documented Deployment & Data Residency and Testing, Debugging & Optimization
- Linx Security6.5 / 14A lighter documented profile than Exaforce
- Magnitude8.5 / 14Adds documented APIs, SDKs & MCP Extensibility and Testing, Debugging & Optimization
- Parameter7.5 / 14Fuller documented coverage on Security, Identity & Governance
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded