EU Security & AI Lab designs and implements AI and Agentic AI architectures where identity, access, monitoring, guardrails and explainability are built into the foundations – not glued on later.
We turn business and mission requirements into defensible, operable and auditable architectures that can withstand scrutiny from security teams, regulators, auditors and parliaments – while remaining usable for developers and operators.
We then provide maintenance and structured risk management across the lifecycle, so that your AI platforms and agents stay resilient as threats, tools and EU regulation evolve.
We work across the full lifecycle: from initial threat modelling and architecture design, through implementation, to maintenance and continuous risk management.
We co-design your AI and Agentic AI reference architectures: secure data flows, isolation between components, secrets management, identity and access models, and governance for model and agent usage.
Threat models cover adversarial machine learning, prompt injection, data leakage, model theft, misuse of agents, supply-chain compromise and misuse of integrations and tools.
We support implementation using reliable, security-first AI tooling and infrastructure, whether on-premises, in sovereign or EU regional cloud, or in hybrid environments.
Controls such as policy enforcement, content filtering, access control, logging and monitoring are integrated into your existing security operations, not treated as separate islands.
After go-live, we stay engaged with structured risk reviews, security testing and tuning of detection and response for AI-specific threats.
This maintenance and risk-management approach ensures that your architecture remains aligned with attacker techniques, EU legislation and your internal governance as both technology and regulation evolve.
Agentic AI brings powerful capabilities – and new risks. We design agents and tool ecosystems so that they operate within clearly defined, monitored and enforceable boundaries.
We define and implement guardrails around what agents can see, decide and do, and how they can interact with systems and data. Policies are enforced technically, not only documented.
This includes granular scoping of tools, context controls, red-teaming and continuous monitoring for unsafe or non-compliant behaviours.
Architectures are designed so that AI activities are observable: logging, telemetry and correlation with other security signals.
We build forensic readiness into your AI platforms so that incidents can be reconstructed and investigated, while respecting data-minimisation and privacy obligations.
We define where human review is mandatory, how override and escalation work, and how accountability is preserved when AI and agents assist decision-making.
This supports both internal governance and external accountability to regulators, oversight bodies, boards and, where relevant, Law Enforcement Agencies.
If you are planning or running AI and Agentic AI initiatives and need an architecture that is secure, explainable and aligned with EU regulation, we can help. Please describe your situation at a high level.
Work is delivered by security and AI professionals certified under the EU EITCA Artificial Intelligence Programme, holding EU Security Clearance – Level Secret, and CSI Linux OSINT & Darkweb Investigations certifications where relevant.
We combine security engineering, architecture, AI expertise and regulatory awareness to create architectures that are operationally robust, regulator-ready and aligned with your mission.