Security, governance and compliance
For organizations with high security requirements — public bodies, banks, insurers, regulated industry — security isn’t a separate chapter: it’s a design constraint from the very first line of architecture.
Data governance
Classification of the data processed, minimization, no training on client data without explicit authorization, segregation between environments and clients.
On-premise, cloud & hybrid
Deployment follows the organization’s constraints, not the other way around: when data residency is non-negotiable, the architecture stays on-premise or hybrid.
Audit trail
Every source consulted, action taken and assisted decision is logged in a verifiable way, with reference to the originating data.
Human-in-the-loop
High-impact actions remain subject to explicit human confirmation; the system flags uncertain cases instead of deciding on behalf of people.
Prompt injection defense
Every piece of content retrieved from documents, emails or external pages is treated as untrusted input: system-prompt isolation, sanitization, control over the actions agents can execute.
AI Act
Risk classification of the system, technical documentation and transparency requirements aligned with the European regulatory framework, handled from the design phase onward.
Roles & responsibilities
Explicit definition of who can configure, supervise, approve or disable the system, and who is accountable for each stage of its operation.
Logging & traceability
Technical and application logs retained according to agreed policies, usable for internal audits, external reviews and incident analysis.
Certification and compliance roadmap
ISO 9001
Quality management
Certification in progress
ISO 27001
Information security management
Certification in progress
NIS2
EU cybersecurity directive
Alignment in progress
GDPR
Personal data protection
Operational compliance
The AI Act, in brief
The EU’s AI Regulation applies in phases. From 2 August 2026, the bulk of the text applies, including the obligations for high-risk systems: for banks, insurers and public bodies, this isn’t a topic to postpone — it’s already in force.
1 Aug 2024
Regulation enters into force
2 Feb 2025
Ban on unacceptable-risk practices
2 Aug 2025
GPAI model obligations and governance rules
2 Aug 2026
High-risk system obligations apply (Annex III)
2 Aug 2027
Obligations for AI in regulated products (Annex I)
Risk classification
The Regulation distinguishes four tiers: unacceptable risk (banned), high risk (strict obligations), limited risk (transparency obligations) and minimal risk. The tier depends on how the system is used, not on the technology itself.
Who is most directly affected
Credit scoring, insurance risk assessment, workforce management and access to essential public services fall under the Annex III high-risk use cases: banks, insurers and public bodies are among those most exposed.
Obligations for high-risk systems
Risk management system, data governance, technical documentation, automated logging, human oversight and conformity assessment before going into production.
Deployers, not just providers
Anyone using a high-risk system — not just those who build it — has obligations of their own: public bodies and specific financial-sector cases must carry out a fundamental rights impact assessment.
We treat these obligations as an architectural constraint from day one, not as paperwork added at the end of a project: risk classification is the first step of every AI Assessment.
How we validate a system before release
Security testing is part of the project, not a final checkbox.
- 01
Threat modeling
We identify the abuse scenarios most relevant to that specific process: exposed data, unauthorized actions, prompt injection.
- 02
Red teaming
Targeted attempts to bypass guardrails, manipulate the system prompt, or obtain data and actions that were never intended.
- 03
Testing on real cases
Verifying accuracy and behavior on real data and scenarios, not just on prepared examples.
- 04
Permission review
Cross-checking roles, access and data segregation before releasing to production.
This page does not replace a formal compliance assessment specific to your sector: it’s the foundation we build on, together with your security, governance and data protection teams, to deliver a system that is ready for production.
Request an AI AssessmentFrequently asked questions
How does Futura AI secure its AI systems?
With application guardrails, prompt injection defense (retrieved content treated as untrusted input), audit trails on every source and assisted decision, and human-in-the-loop on high-impact actions. Security testing includes threat modeling and red teaming before release to production, not after.
Are Futura AI’s systems AI Act compliant?
We treat the obligations of Regulation (EU) 2024/1689 as an architectural constraint from day one: risk classification of the system is the first step of every AI Assessment. From 2 August 2026, the obligations for Annex III high-risk systems apply, which is especially relevant for banks, insurers and public bodies.
Does Futura AI train models on client data?
No. Data governance includes classification, minimization and segregation between environments and clients: no training on client data without explicit authorization.
Does Futura AI hold security certifications?
The certification roadmap is in progress: ISO 9001 (quality management) and ISO 27001 (information security) certification in progress, alignment with the NIS2 directive underway, and operational compliance with the GDPR.