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About Contact Us
AI-first engineering

Enterprise AI Security & Compliance Engineering.

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.

Get started

See Logiciel in action.

Tell us what you're building and we'll take it from there.

5 steps
Our AI security and compliance framework
3 models
AI security engagement models
Why Logiciel

Why Enterprise AI Security Becomes Critical at Scale.

Why Logiciel · 01

Teams test AI tools without approved security policies.

Why Logiciel · 02

Sensitive data enters prompts, retrieval systems or model workflows without clear controls.

Why Logiciel · 03

AI systems connect to enterprise data without proper access boundaries.

Why Logiciel · 04

Compliance teams lack audit trails for AI decisions, outputs and usage.

Why Logiciel · 05

Security reviews happen too late in the AI implementation lifecycle.

Why Logiciel · 06

Data engineering foundations are not mature enough for governed AI adoption.

Why Logiciel · 07

Business leaders need AI systems that can pass technical, legal and operational review.

What you get

What You Get When You Work With Logiciel on AI Security & Compliance.

We build AI security and compliance engineering models that help your teams innovate with control.

01

A clear enterprise AI security roadmap tied

to your business and regulatory environment

02

Risk assessment

across AI systems, data flows, prompts, models, users and integrations

03

Secure data engineering services

that protect sensitive information across AI workflows

04

Access controls, role permissions and audit trails

across AI applications and platforms

05

Compliance-aligned workflows

for human review, approval, monitoring and reporting

06

AI observability

for usage, quality, latency, cost, risk and policy adherence

07

A practical AI security operating model your teams can maintain after launch

Trust & security

Enterprise AI Security & Compliance Engineering Solutions Built for Regulated Workloads.

01

Enterprise AI Security Architecture

Security architecture for LLMs, AI agents, RAG systems, ML models, APIs, cloud infrastructure and enterprise integrations.

02

AI Governance and Compliance Engineering

Policies, approval workflows, audit trails, documentation, risk classification and compliance-aligned AI delivery practices.

03

Secure Data Engineering Services

Data pipelines, access controls, masking, validation, lineage and governance foundations that support secure AI implementation.

04

AI Data Platform Engineering

Secure data platform engineering for warehouses, lakehouses, retrieval systems, vector databases and AI-ready data layers.

05

AI Access Control and Identity Management

Role-based access, tenant isolation, permission boundaries, identity integration and least-privilege controls for AI workflows.

06

AI Monitoring and Auditability

Monitoring for AI usage, prompts, retrieval sources, model behaviour, user activity, policy violations and compliance evidence.

07

Managed AI Security Operations

Ongoing monitoring, risk reviews, compliance reporting, incident response, policy updates and continuous improvement for AI systems.

Engagement

Engagement Models Designed for Enterprise AI Security & Compliance Engineering Delivery.

01

Dedicated AI Security Engineering Squad

A standing team of AI engineers, data engineers, cloud specialists, security experts and compliance consultants embedded into your AI roadmap.

Engagement
02

AI Security Advisory and Staff Augmentation

Senior AI security, data engineering consulting and compliance specialists who strengthen your internal security, data, product or engineering teams.

Engagement
03

Outcome-Based AI Compliance Engineering

Fixed-scope engagements with defined security outcomes, compliance requirements, delivery milestones and success baselines agreed up front.

Engagement
Under the hood

Enterprise AI Security & Compliance Engineering Services We Deliver.

01

AI Security Diagnostic and Compliance Roadmap

What it meansDetailed assessment of AI systems, data flows, access controls, governance maturity, compliance gaps and production risks.
02

AI Risk Assessment and Control Design

What it meansRisk classification for AI use cases, model behaviour, data exposure, user permissions, autonomy levels and operational impact.
03

Secure AI Data Engineering and Integration

What it meansData engineering consulting services for pipelines, retrieval systems, data validation, lineage, access control and secure integration.
04

AI Platform Security Engineering

What it meansSecurity controls for AI infrastructure, data platforms, vector databases, APIs, cloud services and production deployment workflows.
05

AI Governance, Audit and Documentation

What it meansGovernance frameworks, audit trails, approval workflows, policy documentation, evidence collection and compliance reporting.
06

AI Monitoring, Observability and Incident Workflows

What it meansDashboards, alerts, access logs, usage tracking, prompt monitoring, incident routing, runbooks and post-incident review practices.
07

Managed AI Security and Compliance Operations

What it meansOngoing security monitoring, compliance reviews, risk reporting, control updates, incident response and continuous improvement.
Trust & security

Enterprise AI Security & Compliance Engineering Insights & Frameworks.

Patterns from our AI-first engineering teams that help enterprises scale AI while protecting data, systems and users.

01

Enterprise AI Security Operating Model

How we structure ownership, risk review, access governance, data controls, incident response and compliance reporting across AI systems.

↳ Trust & security
02

AI Security and Data Engineering Readiness Framework

A practical approach to ranking AI systems by data sensitivity, access risk, platform maturity, regulatory exposure and business criticality.

↳ Trust & security
Trust & security

Our Enterprise AI Security & Compliance Engineering Framework.

01

AI Security Diagnostic and Baseline

We assess AI systems, data platforms, pipelines, access models, governance controls, audit needs and compliance requirements.

02

Risk, Data and Control Mapping

We map sensitive data, user roles, system integrations, regulatory obligations, data engineering gaps and high-risk AI workflows.

03

Security and Compliance Engineering

We implement access controls, secure data pipelines, monitoring, audit trails, approval workflows and compliance-aligned architecture.

04

Production Governance and Observability

We harden AI systems with policy enforcement, logs, dashboards, incident workflows, human review and operational reporting.

05

AI Security Operating Model

We hand over a repeatable security and compliance practice, including ownership, KPIs, review cadences, runbooks and improvement workflows.

Questions

Frequently asked questions.

What does Enterprise AI Security & Compliance Engineering include?

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.

Why is enterprise AI security important?

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.

How do data engineering services support AI security?

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.

Can Logiciel work with our existing data platform engineering environment?

Yes. We work with existing cloud platforms, warehouses, lakehouses, vector databases, APIs, data pipelines, analytics systems and enterprise applications depending on your architecture.

Do you offer fixed-cost engagements for Enterprise AI Security & Compliance Engineering?

Yes. We offer milestone-based pricing once scope, AI systems, compliance needs, data sources, KPIs and delivery milestones are agreed.

Who owns the deliverables from an Enterprise AI Security & Compliance Engineering engagement?

You retain ownership of all security controls, governance frameworks, data pipelines, integrations, dashboards, audit materials, documentation, runbooks and implementation assets.

How does Logiciel compare with data engineering consulting firms for AI security work?

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.

Do you support ongoing AI security and compliance operations after launch?

Yes. We run managed operations with monitoring, incident response, compliance reviews, risk reporting, policy updates, data reliability checks and continuous improvement.

Let's build

Accelerate Enterprise AI Security & Compliance Engineering.

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.