Try Exaforce
Overview
Exaforce differs from the other agentic SOC vendors in a way that matters more than its feature list: it pairs the platform with a managed detection and response service. You are not only buying agents that investigate alerts, you are buying humans who own the outcome. For organisations that lack a SOC rather than having an overloaded one, that combination answers the actual problem.
It sits in the AI-native bracket alongside Dropzone and Prophet — built around autonomous investigation from the start rather than an AI layer added to a legacy SIEM — with a $125 million Series B behind it, which is among the largest raises in the category. The coverage emphasis leans toward cloud and identity, which is a defensible read of where the attack surface actually moved.
The hybrid model is also the main thing to interrogate during evaluation. Software and services have very different economics and very different failure modes, and a vendor doing both needs to be clear about which one you are buying. Ask specifically what the humans do, when they do it, and what the response commitments are — the answers vary more than the marketing suggests.
Key Features
Agentic Investigation Engine
Autonomous agents investigate alerts across cloud, identity and endpoint telemetry rather than enriching and escalating.
Managed Detection and Response
Human analysts backing the platform, which is the difference between a tool and an outcome for organisations without their own SOC.
Cloud and Identity Emphasis
Detection coverage weighted toward where the modern attack surface actually is rather than toward legacy perimeter telemetry.
Existing Stack Integration
Works with the detection tooling already deployed instead of requiring consolidation onto a new platform.
Continuous Coverage
Round-the-clock investigation without the shift-pattern quality variance of a small human team.
Verdict and Response Workflow
Investigation feeds directly into response actions rather than stopping at a conclusion.
Pros & Cons
Advantages
- Software plus managed service answers the whole problem for teams without a SOC
- Well funded at $125M Series B — the largest raise among AI-native SOC startups
- Cloud and identity focus matches where attacks actually happen now
- AI-native architecture rather than AI bolted onto legacy tooling
- Integrates with existing detection stack
Disadvantages
- The hybrid software-plus-service model needs careful contractual clarity
- Less useful for organisations that already have a mature staffed SOC
- Enterprise pricing with limited public transparency
- Younger vendor than established MDR providers
Pricing Plans
| Plan | Price | Key Features |
|---|---|---|
| Platform | Custom | Agentic SOC platform priced on telemetry and alert volume |
| Platform + MDR | Custom | Managed detection and response with human analyst coverage |
Best Use Cases
Exaforce Excels At:
- Organisations with no SOC that need one without hiring one
- Cloud-first environments where identity is the primary attack surface
- Teams wanting AI investigation with human accountability behind it
- Replacing a legacy MDR contract with something AI-native
May Not Be Ideal For:
- Mature SOCs that only want software and would not use the service
- Organisations requiring an in-house-only security model
- Environments dominated by legacy on-premise infrastructure
How It Compares
Exaforce vs Dropzone AI
Dropzone sells software to teams that have analysts; Exaforce sells software plus analysts to teams that do not. If you have a SOC, Dropzone is the cleaner fit. If you are the SOC and you are one person, Exaforce answers more of the problem.
Exaforce vs traditional MDR
Traditional MDR providers run human analysts over conventional tooling, and their economics limit how deeply each alert gets investigated. An AI-native platform changes that ratio. The question for any MDR buyer in 2026 is whether their provider has made that transition.
Final Verdict
Our Recommendation
Exaforce is the right shape for organisations that need security operations rather than security tooling. Pairing autonomous investigation with a managed service means someone is accountable for the outcome, which is what a company without a SOC actually needs to buy. The $125 million raise and cloud-identity focus suggest a vendor reading the market correctly. During evaluation, push hard on exactly what the human layer does and what the response commitments are in writing — that is where hybrid models differ most and where the marketing is least specific.