Secure Platform Engineering
SPLM · Safe autonomy at scale
Safe autonomy at scale.
Build platforms that power both traditional applications and autonomous AI agents. SPLM establishes the contract layer between agents and the enterprise with identity models, policy guardrails, agent runtimes, and operational AI safety.
Identity as the spine
Agent identity models, machine-to-machine trust, scoped permissions, and federated identity boundaries. Identity becomes the centre of gravity.
Policy guardrails
Tool allow/deny lists, data classification enforcement, runtime safety checks, budget controls, and risk scoring. Behavioural control for decision-making systems.
Agent runtime
Standardised agent frameworks, execution sandboxes, LLM routing, memory boundaries, and evaluation pipelines. Reusable, governed agent blueprints.
Operational AI safety
Monitor prompt injection attempts, tool misuse, hallucination patterns, token spend, and behaviour drift. Intelligence monitoring at scale.
End-to-end secure delivery.
From change request to production — every stage governed, scanned, and observable.
