PLATFORM · AGENTIC CYBER-GRC
Your Cyber-GRC Operating System. Run by agents, governed by you.
This is GRC Engineering: risk governance that runs like software. Autonomous agents verify every claim against your real signals, continuously, so risk, compliance and third-party exposure never rest on a declaration again.
DOZENS OF FRAMEWORKS · THOUSANDS OF CONTROLS · MULTILINGUAL
THE ARCHITECTURE
Four layers. One agentic core.
Signals flow in, your enterprise gets modeled, ERNEST reasons over both, and the capability modules turn verdicts into governed decisions. Trust is built into every layer, not bolted on.
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LAYER 01
Signals & Connectors
ERNEST plugs into your real-world signals: threat intelligence, continuous state analysis, marketplace integrations, documents and cyber knowledge.
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LAYER 02
Context Intelligence
Your enterprise, modeled: value chain, risk appetite, organisations and entities, connected in a knowledge graph through hybrid RAG, semantic retrieval and memory.
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LAYER 03 - THE CORE
ERNEST, the Agentic Core
Perceives, reasons and acts, governed end to end, with no model training on your data.
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LAYER 04
Capability Modules
Where risk becomes decisions: assess, prioritize and prove across compliance, third parties and risk, in one place.
WHY AN OS
Why an operating system?
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The definition
Shared infrastructure underneath, applications on top.
One knowledge graph of your enterprise, one agentic core, one stream of verified evidence. Every module runs on them.
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Without one
Three tools, three partial truths.
Risk in one, compliance in a second, vendor assessments in a third. Reconciling them is your team’s slowest job, and the same control gets documented three times and proven nowhere.
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With one
A fact is established once, then serves everything.
It feeds every module, every framework and every decision, governed AI doing the heavy lifting. Start with one module; the others light up on the same source of truth.
THE ERNEST LOOP
Every decision compiles through the same loop.
The core block in the architecture above is not a diagram convention. It is how operations actually run. Signals come in, your context gives them meaning, and a governed decision comes out.
PERCEIVE
Signals become facts
ERNEST ingests what actually happens: threat intelligence, continuous state analysis, marketplace integrations, documents and evidence, normalized into the knowledge graph as they arrive.
REASON
Facts meet your context
Each fact is evaluated against your enterprise model (value chain, risk appetite, organisations and entities) and against the frameworks you answer to, through hybrid RAG over the knowledge graph.
ACT
Context becomes decisions
The loop closes with a governed, audit-ready decision routed to the right owner: human-in-the-loop for everything material, every step logged in the AI audit trail.
$ ernest compile --signal cti-2026-0412 --scope "payments value chain"
perceive · CTI advisory ingested · critical vulnerability at a payment vendor
reason · knowledge graph: 2 critical assets exposed · risk appetite: exceeded
reason · frameworks mapped: DORA ICT risk · NIS2 Art. 21
act · decision: MITIGATE - compensating control + vendor reassessment
routed to: CISO office · human-in-the-loop: validation required
confidence: 94% · sources: 4 matched · audit trail written
MEASURED OUTCOMES
What running on one OS changes.
- −50–70%
- time-to-risk-decision
- 15–30%
- cyber-budget optimization
- 2–3×
- risk visibility across the organization
Measured with our design-partner CISOs, figures under continuous validation.
THE MODULES
Deep where it matters, connected everywhere.
Risk Intelligence
Continuous risk analysis from individual initiatives to enterprise threat scenarios.
- Security-by-Design at initiative level
- Enterprise threat scenarios
- Living risk register & KRIs
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Compliance
Continuous controls monitoring across every framework you answer to.
- Dozens of frameworks, thousands of controls auto-mapped
- Controls tied to live evidence
- Audit-ready, always
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Third-Party Risk Management
Vendor trust assessed in context, scored automatically, challenged for contradictions.
- Context-aware questionnaires
- Automated, comparable scoring
- Contradiction detection & risk network
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TRANSVERSAL
Board-Ready Reporting - the Cyber Cockpit, read by the board.
The transversal layer every stakeholder shares: where controls, organization and value chain meet in one navigable picture.
- Control Atlas
- Organization Map
- Value Chain Map
- Cyber Knowledge
THE AI ENGINE
Ernest verifies every claim. In every module.
Multi-agent orchestration on sovereign open-source LLMs, hybrid RAG over a cyber knowledge graph, deterministic verification of every output. No hallucination, no assumption: every verdict is sourced and auditable.
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TRUST BY DESIGN
Enterprise-grade from the first layer.
The European sovereign agentic Cyber-GRC platform, because governance data is exactly the data you cannot send away.
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Sovereign
Open-source LLM (Mistral) operated on EU-hosted infrastructure. Your data never leaves Europe.
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Enterprise-grade authentication
SSO, SAML, SCIM and JIT provisioning, with 2FA and biometrics.
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RBAC & Security by Design
Granular permissions checked on every action, human or agentic.
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Auditability
Every action logged, human or AI, and everything exportable.
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Multi-language
EN · FR · ES · PT · DE - more coming.
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Any screen, anywhere
Desktop, tablet and mobile.
GOVERNED AI
Autonomy, under control.
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Human-in-the-Loop
Every material decision validated by the right owner.
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Guardrails
Bounded scope and permissions for every agent.
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LLM-as-a-Judge
Automated evaluation of every AI output.
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AI Audit Trail
Every agentic action logged and traceable.
FAQ
The operating system, in practice
What is a Cyber-GRC Operating System?
One system that runs cyber governance end to end, the way an operating system runs a computer: shared infrastructure (a knowledge graph of your enterprise, the ERNEST agentic core, a stream of verified evidence) with capability modules on top. Risk, compliance and third-party decisions all compile from the same verified facts instead of living in separate tools.
How is Mindlapse OS different from a legacy GRC tool?
Legacy GRC records what you declare: spreadsheets, questionnaires, annual audits. Mindlapse OS verifies claims against live signals and reasons over your actual context before anything becomes a decision. Trust is built into every layer rather than bolted on, and the AI is governed: human-in-the-loop, guardrails, an auditable trail.
What are the four layers of Mindlapse OS?
Layer 01, Signals & Connectors: threat intelligence, continuous state analysis, marketplace integrations, documents and evidence. Layer 02, Context Intelligence: your enterprise modeled in a knowledge graph. Layer 03, ERNEST: the agentic core that perceives, reasons and acts. Layer 04, Capability Modules: Risk Intelligence, Compliance and TPRM.
Do we need all modules to start?
No. Start with the module that hurts most: risk, compliance or third-party risk. Because every module runs on the same knowledge graph and the same verified evidence, the others light up on the same source of truth when you are ready, with no re-documentation.
Where is our data hosted, and which AI models run it?
Exclusively in the European Union. ERNEST runs on open-source LLM foundations (Mistral) operated on EU-hosted infrastructure; your data never leaves Europe and is never used to train models.
How is the AI kept under control?
Four mechanisms, active by design: human-in-the-loop validation for every material decision, guardrails bounding each agent’s scope and permissions, LLM-as-a-Judge evaluation of every AI output, and an AI audit trail that logs every agentic action. Autonomy, under control.
GLOSSARY
Terms to know
SEE IT CONNECTED
One source of truth beats three tools.
Walk through the platform on your own scenarios: risk, compliance and third parties on a single graph.