Every part of security. One AI control plane.
Kervo AI runs Know, Evaluate, Resolve, Validate and Orchestrate on one data model. One system, where a leaked credential, an unpatched CVE and an overpermissioned role become one attack path instead of three tickets.
See everything you have, and everything that's exposed.
- External Attack Surface Management
- Dark Web Monitoring
- Third-Party Risk Management
- Asset Discovery (CAASM)
Know what to fix first, and why.
- Risk-Based Vulnerability Management
- Attack Path Intelligence
- Cloud Security Posture Management
- Built-in Network Scanner
Fix what matters. Shut down what's live.
- AI Analyst
- Guided remediation
- Orchestrated response
- Before-and-after risk scoring
Prove the posture holds, every day.
- Continuous compliance automation
- Multi-framework mapping
- Real-time control gap monitoring
- On-demand audit reports
Run the whole security program as one system.
- AI CISO
- Cross-stage automation
- Tool unification
- Governance and RBAC
Tools that don't share data
Most stacks were assembled one purchase at a time. Each tool does its job. The problem is what sits between them.
Your scanner finds a medium on an internal app. Your leak monitoring finds an engineer's credential. Your cloud tool finds an overpermissioned role. Three unremarkable tickets. Together they are a route to your customer database, and no tool sees it because no tool holds more than a third of the picture. That is an architecture problem, and API integrations don't fix it.
What one platform actually means
Kervo AI is one system with one data model. Every capability reads from and writes to the same graph, so correlation happens by default. The credential, the CVE and the IAM role above are nodes in the same model, and the path between them falls out of the data.
That is why one platform serves a ten-person team and a two-thousand-person enterprise. For the lean team, Kervo AI and its agents are the whole security function. For the enterprise, it connects to the tools you own and produces the picture none of them can produce alone.
See everything you have, and everything that's exposed.
Discovery of every asset and exposure, outward from your domains and inward from the EDR, scanners and patch tools you already run: external attack surface, cloud workloads, servers, endpoints, network devices, dark web exposure, vendors. One live inventory that maintains itself.
Know what to fix first, and why.
Every finding rescored by whether an attacker can reach and use it, then assembled into the attack paths that lead somewhere worth protecting. The noise drops away and what is left is ranked.
Fix what matters. Shut down what's live.
AI Analyst does the work of a security analyst on every finding: it investigates, works out the impact, finds the fix and pushes it once a human approves. Guided remediation covers everything Evaluate ranked, and the paths it collapses.
Prove the posture holds, every day.
Controls checked continuously, evidence collected automatically, one piece of evidence mapped across every framework it satisfies. Drift is caught when it happens.
Run the whole security program as one system.
AI CISO turns live posture into board-ready strategy. Automation carries work between stages. Tool unification pulls the products you own into one picture. Then the loop runs again.
Why the architecture matters
Ask one question of any "unified" platform: does a finding in one module change the priority of a finding in another? In a real platform it does, because they are the same data. In an assembled one it doesn't, because they are two databases and a nightly sync.
Kervo AI was built as one system from the start, so the correlation behind attack paths and AI Analyst is native rather than bolted on.
Two ways teams use it
Run everything in Kervo AI. Lean and mid-market teams use Kervo AI as their entire program on one contract, with AI agents handling investigation and evidence. Coverage is usually broader than the separate tools gave, because the gaps between them disappear.
Connect what you already run. Larger organisations keep their tools and connect them to Orchestrate. Kervo AI ingests their findings, resolves asset names into one inventory and correlates across all of them. Same loop, more data sources.
What do the five stages mean?
Know, Evaluate, Resolve, Validate, Orchestrate: discover it, weigh it, fix it, prove it, run it. Most tools own one stage. Kervo AI runs all five on one platform, which is what makes it a loop rather than five purchases.
Is this an orchestration layer on top of other tools?
No. Kervo AI owns the data plane as well as the control plane. It scans, discovers and analyses natively, which is why it can replace a stack outright. Sitting above tools you already run is an option, not a requirement.
How is this different from the large platforms on the market?
Most were assembled through acquisition and still run separate data models underneath. Kervo AI was built as one system, so a dark web leak, a CVE and a cloud misconfiguration correlate without anyone configuring an integration.
Do we have to adopt all five stages at once?
No. Teams usually start where the pain is loudest, often Know or Validate, and expand. The loop works better complete, but each stage is useful on its own.
How long does deployment take?
Connecting takes minutes. First findings arrive within hours, and the full attack-surface picture within 48 hours. The first attack-path report and compliance gap assessment usually arrive within week one.
See the whole loop run on your environment.
We connect Kervo AI to your real infrastructure and walk through what it finds: exposure, attack paths, compliance position.