Technical foundation

Technology

Engineering the security layer for the autonomous AI era.

Platform ecosystem

SLM-AI Solutions is not building isolated products. We are constructing an entire ecosystem for AI cybersecurity and AI governance. Stratum delivers immediate value today through forensic assessment, while FloodGate is the future — agent trust infrastructure for the autonomous AI era.

Today

Stratum

Practical cybersecurity assessment and digital evidence collection. Helps organisations understand exposure without modifying systems. Validates our engineering approach with real MSP deployments.

Explore Stratum →
Next generation

FloodGate

The trust, identity, and governance layer for autonomous AI agents. Creates the security controls required for AI-native enterprise operations.

Explore FloodGate →

Research areas

AI agent identity

Cryptographic identity binding for AI agents that persists across systems, versions, and deployments.

Behavioural trust models

Continuous evaluation of agent behaviour against established baselines and policy constraints.

Zero-trust AI governance

Policy enforcement that assumes compromise and verifies every action, not just initial access.

Attribution and audit

Immutable records linking every AI action to a verified identity for compliance and incident response.

// The next shift

Legacy systems becoming AI systems

Most businesses are still running on legacy infrastructure that was never built with AI in mind. We believe that's about to change — not overnight, but as a steady, necessary shift every organisation will eventually have to make.

Today, moving legacy data off ageing endpoints into a state an AI system can actually use is a slow, manual, often chaotic process. We're building the tooling to change that: streamlining legacy data transfer the way Stratum already streamlines security assessment — but going a step further. As data moves, it is structured and converted into AI-ready form, so migration and AI-readiness happen as a single step rather than two.

This is designed to work hand-in-hand with FloodGate™. As legacy data becomes AI-accessible, it needs to be trusted, attributable, and governed from the moment it enters an AI system — which is exactly the layer FloodGate provides. One of our core aims is making the transition from legacy IT to AI-native operations smooth rather than disruptive.

Our aim: turn legacy-to-AI data migration from today's manual, fragmented process into a streamlined one — where data becomes AI-ready as it moves, and is governed by FloodGate™ from the moment it arrives. As AI, AGI, and quantum computing change what businesses need to protect, automate, and understand, we'll keep building the tools that future requires — before it's obvious that it does.

Development principles

Security-first design
Cryptographic verification
Minimal attack surface
Observable and auditable
API-first architecture
Vendor neutral