Logiciel helps enterprises design, build and operate AI systems with security, compliance and governance built into the engineering lifecycle. From enterprise AI security and data protection to access controls, auditability, monitoring, data engineering services and platform reliability, we help teams scale AI without increasing operational or regulatory risk.
We build AI security and compliance engineering models that help your teams innovate with control.
to your business and regulatory environment
across AI systems, data flows, prompts, models, users and integrations
that protect sensitive information across AI workflows
across AI applications and platforms
for human review, approval, monitoring and reporting
for usage, quality, latency, cost, risk and policy adherence
Security architecture for LLMs, AI agents, RAG systems, ML models, APIs, cloud infrastructure and enterprise integrations.
Policies, approval workflows, audit trails, documentation, risk classification and compliance-aligned AI delivery practices.
Data pipelines, access controls, masking, validation, lineage and governance foundations that support secure AI implementation.
Secure data platform engineering for warehouses, lakehouses, retrieval systems, vector databases and AI-ready data layers.
Role-based access, tenant isolation, permission boundaries, identity integration and least-privilege controls for AI workflows.
Monitoring for AI usage, prompts, retrieval sources, model behaviour, user activity, policy violations and compliance evidence.
Ongoing monitoring, risk reviews, compliance reporting, incident response, policy updates and continuous improvement for AI systems.
A standing team of AI engineers, data engineers, cloud specialists, security experts and compliance consultants embedded into your AI roadmap.
Senior AI security, data engineering consulting and compliance specialists who strengthen your internal security, data, product or engineering teams.
Fixed-scope engagements with defined security outcomes, compliance requirements, delivery milestones and success baselines agreed up front.
Patterns from our AI-first engineering teams that help enterprises scale AI while protecting data, systems and users.
How we structure ownership, risk review, access governance, data controls, incident response and compliance reporting across AI systems.
A practical approach to ranking AI systems by data sensitivity, access risk, platform maturity, regulatory exposure and business criticality.
We assess AI systems, data platforms, pipelines, access models, governance controls, audit needs and compliance requirements.
We map sensitive data, user roles, system integrations, regulatory obligations, data engineering gaps and high-risk AI workflows.
We implement access controls, secure data pipelines, monitoring, audit trails, approval workflows and compliance-aligned architecture.
We harden AI systems with policy enforcement, logs, dashboards, incident workflows, human review and operational reporting.
We hand over a repeatable security and compliance practice, including ownership, KPIs, review cadences, runbooks and improvement workflows.
Enterprise AI Security & Compliance Engineering includes AI security architecture, data protection, access controls, governance, audit trails, compliance workflows, AI monitoring, secure data engineering services and managed security operations.
Enterprise AI security helps protect sensitive data, control model and user access, reduce compliance risk, monitor AI usage and ensure AI systems operate safely across business-critical workflows.
Data engineering services support AI security by creating governed pipelines, access-controlled data flows, lineage, validation, masking and monitoring across the data used by AI systems.
Yes. We work with existing cloud platforms, warehouses, lakehouses, vector databases, APIs, data pipelines, analytics systems and enterprise applications depending on your architecture.
Yes. We offer milestone-based pricing once scope, AI systems, compliance needs, data sources, KPIs and delivery milestones are agreed.
You retain ownership of all security controls, governance frameworks, data pipelines, integrations, dashboards, audit materials, documentation, runbooks and implementation assets.
Logiciel combines data engineering consulting, AI implementation, cloud engineering and security-focused delivery, so teams can strengthen data foundations while also securing production AI systems.
Yes. We run managed operations with monitoring, incident response, compliance reviews, risk reporting, policy updates, data reliability checks and continuous improvement.
Ready to turn Enterprise AI Security & Compliance Engineering into a foundation for safe AI adoption? Partner with Logiciel to secure your AI systems, strengthen data engineering foundations and scale AI with governance, visibility and production-grade control.