Exaforce
Agentic SOC and MDR platform for AI-era threat detection, triage, investigation and response
By Exaforce Inc. · 4.0/5 Value-Position score (estimate)
Positioning guardrails
Best for
- Security teams replacing a legacy SIEM or MSSP with agentic AI detection, triage and response
- Cloud- and SaaS-heavy companies that need identity, IaaS, SaaS and endpoint attack-surface coverage
- Lean SOC teams that want continuous coverage without adding analyst headcount
- Mid-market and enterprise security leaders targeting fewer false positives and faster incident timelines
Ideal size: 3–50 SOC analysts people · Mid-market to enterprise with a cloud/SaaS estate and an existing SOC function
Not for
- Organizations with no cloud, identity or SaaS log sources to ingest
- Buyers who need published per-seat list pricing or a self-serve free tier before a trial
- Teams that want a passive log repository with no AI-driven triage or automated response
- Companies looking for a human-only MSSP engagement with no customer platform access
Value metrics scorecard
Time-to-Value
1–2 weeks; first insights within 24h
~14 days to first production value
Total Cost of Ownership
On request
Not published; enterprise annual subscription quoted through sales
Implementation Friction
3/5
Engineering + admin effort required
Value-Position score
out of 5 · model estimate
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
Not published
Add-on costs
- None
Company & support
Who is behind Exaforce, and how your team gets help once it is live.
Market position
Where Exaforce sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.
Quadrant view
Typical annual cost × Time-to-value
The lines cross at the median of the solutions shown, so about half sit on each side of each line.
Companies on the chart 6 / 10
- Exaforce
- Onspring
- Metomic
- Anecdotes
- Zluri
- Varonis
Add or change companies
Up to 10 companies including Exaforce. Listed closest first.
Stack fit signal
Compatibility with standard B2B ecosystems.
No supported MCP path today, so it cannot be driven from an AI client.
AI & MCP readiness
What Exaforce ships in AI, and what it asks of your ecosystem.
AI features shipped
Exabots cover the Detect, Triage, Investigate and Respond stages, correlating signals across identity, cloud, endpoint, code and SaaS sources. The multi-model AI separates semantic, knowledge and behavioral models rather than relying on one general LLM. The platform can be self-managed or run 24/7 by Exaforce analysts as MDR.
Your data & models
- Trains on your data
- Not recorded — ask the vendor
- Runs on
- Not recorded
- AI pricing
- Not recorded
In your ecosystem
- AI connection
- Not supported
- Model key
- Vendor's key
- AI usage audit
- Not recorded
Compliance attestations
* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.
Bottom line
Exaforce is an agentic SOC and MDR platform built on a unified security data layer and multi-model AI. Exabots handle detection, triage, investigation and response across identity, cloud, endpoint, code and SaaS sources through 130+ integrations. Customers can run the platform themselves or have Exaforce operate it as a 24/7 SOC. Vendor case studies cite large reductions in false positives and investigation time at customers including Guardant Health and Fuze. Pricing is not published and is quoted by sales.
Frequently asked questions
What does Exaforce replace?
Exaforce is positioned as a SIEM replacement and as an alternative to legacy MDR and MSSP services. It ingests logs, alerts and telemetry from over 130 sources — including AWS, Google Cloud, Entra ID, Okta, GitHub and Google Workspace — into one security data layer, then applies Exabot agents to detection, triage, investigation and response. Customers can operate it themselves or have Exaforce analysts run it as their SOC.
How long does implementation take?
The vendor says customers saw actionable cloud insights within 24 hours of onboarding, and describes onboarding as smooth and guided by its team. Because coverage depends on connecting identity, cloud, endpoint and SaaS sources, plan for a short guided deployment rather than a self-serve signup. No mandatory implementation fee is published, and pricing is quoted by sales.
How is Exaforce priced?
Exaforce does not publish list pricing or seat tiers; the site routes buyers to a demo and an enterprise quote. Public customer statements cite operational outcomes such as a $300K+ annual saving without added headcount and $600K average savings versus traditional SOC stacks, rather than licence costs. Budget for an annual enterprise subscription negotiated with sales.
Is it safe to let Exaforce agents act autonomously?
The vendor positions response as governed and grounded in case context, with the customer's team retaining control and full visibility into every decision and action when self-managing. Customers can also choose the managed model, where Exaforce analysts work alongside the agents. Buyers should still require the vendor to document agent action logging and approval gates during evaluation.
Can we use our own AI assistant with Exaforce?
Yes. The privacy policy describes customer-enabled third-party AI integrations that let large-language-model providers query the platform on the customer's behalf, with an Exaforce MCP connector for Anthropic Claude as one example. Authorization runs through OAuth 2.1 with PKCE, Exaforce does not store the customer's Claude credentials, the connector can be revoked at any time, and such integrations are off by default.