Financial services compliance

Turn regulatory pressure into
workload-level proof

We fix that

Protect regulated cloud, Kubernetes, data, and AI workloads with confidential computing, attestation, customer-held keys, and reusable evidence for DORA, GDPR, AI governance, and cloud reviews.

DORA
GDPR
EU AI Act
ICT third-party risk
ECB cloud
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AVALAIBLE ON EVERY MAJOR CLOUD AND CHIP VENDOR
AWS
AZURE
GOOGLE CLOUD
INTEL
AMD
NVIDIA
RED HAT
SUSE
STACKIT
The compliance gap

Policies are necessary. They do not prove what happened at runtime.

Financial entities now need evidence that critical ICT, cloud, vendor, data, and AI controls operate under real execution conditions. The hardest questions are usually about plaintext exposure, administrator reach, key custody, and third-party operation.

ICT resilience evidence
Runtime proof for risk, incidents, testing, and third parties.
Cloud and vendor access
Prove provider and subcontractor access stays contained
Data protection by design
Protect customer, transaction, KYC, AML, and analytics data in use.
AI governance
Control AI inputs, logs, oversight, and data minimisation.
enclaive control pattern

Make sensitive workloads prove themselves before they receive data or keys

enclaive combines confidential computing, remote attestation, sovereign key control, and policy-gated workload identity so regulated workloads can run in cloud and untrusted environments without exposing plaintext to infrastructure operators.

Verify the workload
Measure the runtime, code, configuration, and platform state before secrets or protected data are released.
Verify the workload
Measure the runtime, code, configuration, and platform state before secrets or protected data are released.
Verify the workload
Measure the runtime, code, configuration, and platform state before secrets or protected data are released.
Regulatory map

Map the requirement pressure to an enforceable control

The practical compliance conversation is not about one law in isolation. It is about proving control operation across ICT risk, outsourcing, personal data, cloud security, AI governance, and local supervisory expectations.

Regulatory pressure
What teams must show
enclaive control pattern
DORA and RTS/ITS
ICT risk management, incident readiness, resilience testing, third-party risk, register evidence, and cryptographic controls.
Attested workloads, confidential runtime isolation, key-release logs, and evidence packs for critical or important functions.
GDPR Articles 25, 28, 32
Data protection by design, processor governance, and security of personal-data processing.
Encrypted-in-use processing, confidential databases, customer-held keys, and limited raw-data exposure.
EU AI Act
Governed AI use, transparency, logging, human oversight, and high-risk AI review where the intended use triggers it.
Garnet, confidential RAG, prompt/context protection, model routing controls, and auditable policy enforcement.
ECB cloud expectations
Cloud governance, risk assessment, data security, monitoring, auditability, concentration risk, lock-in, and exit planning.
Cross-cloud confidential execution, provider-admin containment, workload portability, and independent runtime evidence.
Local supervisor overlays
Country-specific portals, notification routes, reporting formats, circulars, and supervisory interpretation.
A reusable technical proof layer that can be packaged for BaFin, ACPR, DNB, CSSF, FCA, FINMA, and other reviews.
BOOK A WORKLOAD ASSESSMENT

Validate your first regulatory-grade
workload.

Bring one regulated workload, one cloud constraint, or one open security review.
Leave with a practical pilot path for confidential computing, customer-held keys, and automated evidence.

Book a workload assessment
Your financial services contact:
Anastasios Papakostas
VP Business Development FSS
LinkedInpapakostas@enclaive.io