Security
AI agents you can actually trust
Security isn't a feature we add at the end. It's the foundation every system is built on — from access control to data handling to audit trails.
The industry context
ENISA 2024
74%
of AI-related incidents involved data exposure caused by misconfigured access controls
IBM Cost of a Data Breach
$4.88M
average total cost of a data breach in 2024 — a record high across all industries
Gartner
2027
by which 40% of enterprises will have experienced an AI-specific security incident
Our approach
Security-first architecture
Every system is designed with threat modelling from the start. We don't retrofit security — we build it in.
Role-based access control (RBAC)
Granular permissions ensure users and agents only access the data and actions they're explicitly authorised for.
Encryption at rest and in transit
All sensitive data is encrypted using industry-standard protocols. Secrets are managed via environment-based vault patterns, never hardcoded.
API monitoring & rate limiting
All external integrations are monitored for anomalous behaviour. Rate limiting prevents both abuse and accidental runaway automation.
Audit trails
Every agent action is logged with a timestamp, trigger, and outcome — giving you a complete, queryable history of what ran and when.
The outcome
You get AI automation that your team, your clients, and your compliance officer can stand behind — not a black box that nobody can explain, audit, or shut down.