AI for Operations
AIVMS - Find It, Fix It, Prove It
One agentic platform that discovers and assesses your whole estate, application code, open-source, containers, infrastructure, cloud, web apps, servers and even your AI systems, then prioritises by business risk, writes and validates the actual fix, and generates audit-ready evidence. A human stays in command and every action is on a full audit trail.
- Discover & assess in minutes across nine assessment disciplines — one application inventory
- Prioritise by business risk, not raw severity — one consolidated, de-duplicated register
- AI remediation writes the actual code / cloud / server fix and proves it before it ships
- Securing Your AI: adversarial testing and governance readiness for AI systems as first-class
9
Disciplines
3
Fix Engines
4
Frameworks
100%
Audit Trail
Why AIVMS
Not a scanner — a system of record for risk
One Platform, Whole Estate
One platform across code, open-source, containers, infrastructure, cloud, web, servers and AI, with honest, evidenced coverage.
Real Fixes, Not Just Findings
Agents write the actual change and prove it before it ships, arriving in the developer's existing workflow.
Evidence, Not Just Alerts
Every closed finding produces its own proof, mapped to the frameworks you are audited against.
Approval-Gated, Sovereign
Nothing applies without approval; separation of duties and a full audit trail, and it runs inside your own environment.
Six Capabilities, One Closing Loop
From connecting your estate to proving a control passed, discover, prioritise, remediate and assure, with humans in command and evidence generated by the work.
Discover & Assess
- Connect a repo, cloud account or server in minutes
- One inventory: business unit, environment, owner & risk
- Nine assessment disciplines under one roof
- Honest results — a failed assessment is reported, never estimated
Prioritise What Matters
- One consolidated, de-duplicated register — one issue, not three tickets
- Business Risk Score separates the 5% that matter from the 95%
- Known-exploited (KEV) intelligence jumps the queue
- Triage at portfolio scale; false positives stay closed
AI Remediation
- Produces the actual change — app code, cloud config or server hardening
- Proven before it ships — validated by re-running the fix, not opinion
- Humans stay in control — reject at verification reopens the finding
- Delivered as a standard change request in the developer's workflow
Securing Your AI
- Assess AI assistants & agents as first-class systems, not exempt
- Adversarial testing — bypass instructions, extract data, exceed remit
- Every attempt shown: attack, response, verdict and reasoning
- Data boundaries verified; AI governance readiness evidenced
Governance & Assurance
- Continuous compliance position mapped to your frameworks
- Evidence generated by the work — each closed finding proves itself
- Board-ready reporting from live data
- Separation of duties; complete, attributed accountability record
Business Outcomes
- Consolidate the tool estate — one platform, one licence, one report
- Shorter time to remediate — the fix arrives with the finding
- Capacity without headcount for a small security team
- Deploy in your own environment — no code or findings leave
Evidence, Not Estimates
Complete Estate Coverage
8 coverage disciplines, a single estate inventory, and honest, failed-not-faked results.
Real Fixes, Proven
Real code / config fixes, proven by re-run, delivered in your existing workflow.
Audit-Ready Evidence
Evidence generated by the work itself, mapped to PCI, SOC 2, ISO and NIST, board-ready reporting.
Safe, Sovereign Deployment
Approval required before any change, separation of duties, and deployment inside your own environment.
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