Architecture
Secure AI Architectures
Design and audit AI systems that handle sensitive data safely. The architecture defines the risk.
- OWASP LLM Top 10
- NIST AI RMF
- ISO 42001
01 · What is it?
What is this?
If you're building with AI or already running AI systems in production, the architecture and security decisions define the risk for years. We audit existing deployments and design secure architectures for new ones: access governance, prompt firewalls, MCP gateways, agent authentication, output validation, and observability. We hand you the design and control spec; implementation goes to your engineering team or a trusted partner, with Sekit advising throughout. Whether you're deploying your first LLM or securing an existing agent fleet.
02 · The process
What it involves.
- 01
Use cases
We map the cases where you use or want to use AI. We categorise by risk: reading, generation, decision, action.
- 02
Threat modeling
We apply OWASP LLM Top 10 plus NIST AI RMF to each case. We identify specific vectors.
- 03
Design
We decide: own model vs API, where the data lives, how it authenticates, what guardrails. Includes MCP gateway design and agent vault architecture.
- 04
Controls
We define concrete controls: prompt firewalls, output validators, observability, kill switches.
- 05
Validation
Security tests on the design before you build: tabletop red teaming, adversarial prompts against the spec, failure-mode simulation. Red team against the deployed system is separate work (we can coordinate with a specialist partner).
03 · The differentiator
How we do it at Sekit.
Vendor-agnostic
OpenAI, Anthropic, AWS, Azure, on-prem. The architecture is the decision; the provider, a consequence.
Privacy by design
GDPR plus AI Act plus sectoral (HIPAA, banking). Privacy decisions enter the diagram.
Native observability
Every LLM call traceable, auditable, rate-limited. What isn't measured isn't governed.
04 · Deliverables
What you take home.
- Architecture diagramComponents, data flows, control points: ready for your engineering team.
- Threat modelDocument with identified vectors and the controls that mitigate them.
- Control specEach control with its acceptance criterion and verification method.
- Hardening guideOperational guide for your team: what to deploy, what to configure.
- Pre-implementation security reviewTabletop exercise output: vectors explored, hypothetical failure modes, mitigation recommendations.
- Monthly follow-up sessions (3 months)One session a month during implementation. We review against the spec and adjust when surprises show up. Additional sessions priced separately.
Ready when you are
Let's talk about your project.
Thirty minutes to understand your context and propose a concrete plan. No commitment.
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