EXPERTISE

Cybersecurity architecture & AI security

A practice connecting technical architecture, identity, detection, resilience, governance, risk and AI systems.

DOMAINS

Capabilities organised as one security system.

Each domain is treated as an architectural component rather than an isolated silo.

ARCHITECTURE

Enterprise security architecture

Segmentation, Zero Trust, trust zones, flow control, systems, cloud, Security by Design and resilience.

GOVERNANCE

Governance, risk & compliance

ISO/IEC 27001/27005, EBIOS RM, policies, risk treatment, acceptance, evidence and decision support.

IDENTITY

Identity & access

Active Directory, IAM, PAM, authentication, authorization, privileges, certificates and access reviews.

DETECTION

SOC, monitoring & response

Logging, SIEM, vulnerabilities, investigation, incident response, trust reconstruction and monitoring.

AI

AI Security

Data, models, RAG, secrets, supply chain, LLM gateways, DLP, evaluation, logging and governance.

AGENTS

Agentic AI Security

Agent identity, delegated authority, tools, memory, action gates, sandboxing, tracing and revocation.

CROSS-FUNCTIONAL VIEW

From business need to evidence of control.

Architecture creates continuity between context, risk, controls, operations and governance.

CONTEXTAssets & flows

Mapping, dependencies, exposure and criticality.

RISKScenarios & impact

Threats, likelihood, severity and prioritisation.

CONTROLArchitecture & measures

Prevention, detection, limitation and recovery.

EVIDENCETraceability & decisions

Evidence, KPI/KRI, acceptance and arbitration.

Technical foundation

Software, systems, networks, databases, infrastructure, AppSec, IAM and security operations.

Decision layer

Architecture, risk, policies, compliance, governance and CISO steering, extended to AI and agentic systems.