Compliance

EU AI Act Compliance

Map AI usage and controls to the EU AI Act with framework-mapped reporting, explainable decisions, DPIA artifacts, and an immutable audit trail.

In short

EU AI Act compliance requires an organisation to know which AI systems it uses, classify them by risk, govern how they are used, and produce evidence of that governance on request. KavachLab supports this by maintaining a live inventory of every AI system in use, recording an explainable rationale for every automated enforcement decision, and writing all of it to an immutable, tamper-evident audit trail held inside your own tenant. Reporting is framework-mapped, so the same evidence base serves the AI Act, GDPR, ISO 27001, SOC 2, and NIST AI RMF.

What it gives you

Framework-mapped reporting
One evidence base mapped across the EU AI Act, GDPR, ISO 27001/27701, SOC 2, NIST CSF and AI RMF.
Immutable audit trail
Tamper-evident (WORM) records of every interaction, decision, and content access.
Explainable decisions
Every automated action records the rule, the classification, and the contributing factors.
DPIA artifacts
Generate the impact-assessment documentation regulators expect, from live data rather than a questionnaire.

What the AI Act expects operationally

Setting the legal text aside, four operational capabilities are what an assessment actually tests. Each maps to something you must be able to produce on demand:

An inventory — you can enumerate the AI systems in use across the organisation.
Risk classification — each is categorised, and the categorisation is documented.
Governance — there are controls over how those systems are used, and they demonstrably operate.
Evidence — decisions are logged, explainable, and retained in a form an auditor accepts.

The evidence problem

Most organisations can describe their intended AI policy. Far fewer can demonstrate that it operated — which users were affected, which interactions were stopped, and on what basis. That gap between the written policy and the operating evidence is where audits fail, and closing it is exactly what a continuous audit trail is for.

Beyond the EU

The same control set answers UAE PDPL, Saudi PDPL, GDPR, HIPAA, and PCI DSS. Because the underlying evidence is identical — what data went where, under which policy, decided how — mapping it to an additional framework is a reporting exercise rather than a new implementation.

FAQ

EU AI Act Compliance: questions we get asked

Straight answers to what security, privacy, and compliance teams ask us first.

Does KavachLab make us EU AI Act compliant on its own?

No product can make an organisation compliant by itself — compliance depends on your policies, governance processes, and how you operate them. KavachLab provides the visibility, control, and evidence layer that the operational requirements depend on: the AI system inventory, enforced and documented governance, explainable automated decisions, and a retained audit trail.

Where is compliance evidence stored?

Inside your own tenant. The entire data plane is customer-hosted, so audit records and content never reside on vendor infrastructure, and retention, legal-hold, and right-to-erasure workflows operate under your control.

Which frameworks are supported?

EU AI Act, GDPR, ISO 27001, ISO 27701, SOC 2, NIST CSF, NIST AI RMF, UAE PDPL, Saudi PDPL, PCI DSS, HIPAA, and CIS.

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