Your data.
Our responsibility.
We take data security seriously. Here's exactly how we protect your information, govern AI agent behaviour, and ensure compliance.
Six pillars of our security approach
Security by design
Security isn't bolted on at the end. Every agent, integration, and workflow is designed with data protection as a core requirement.
Encryption everywhere
All data is encrypted at rest and in transit. We use industry-standard encryption protocols and key management practices.
Full audit trails
Every action taken by an AI agent is logged, timestamped, and attributable. You can review exactly what happened and when.
Compliance-ready
Our architecture supports GDPR, SOC 2, and ISO 27001 requirements. We document everything so your compliance team can verify.
Least privilege access
Agents only access the data and systems they need — nothing more. Permissions are tightly scoped and regularly reviewed.
Human-in-the-loop
For sensitive actions, agents pause and request human approval. You control the threshold for when escalation is required.
What we do, specifically
How we keep AI agents safe
Every AI agent we deploy has a defined scope of what it can and can't do. This includes which data sources it can read, which actions it can take, and where it needs human approval.
Agents are monitored in real time. If an agent behaves unexpectedly, it's flagged immediately and can be paused or rolled back. We maintain full audit logs so you can review any decision an agent has made.
We don't train models on your data. Your data is used only for the specific tasks your agents are configured to perform, and it stays within your approved data boundaries.
Want to discuss security requirements?
We're happy to walk through our security approach in detail.