We take AI security serious.

Your data stays in the region you operate in, hosted on infrastructure in your chosen region with no offshore processing — even for model inference. This keeps your data within your jurisdiction, under the privacy laws that apply to you, and it is never used to train external models.

Every product is built to recognised security baselines like the CIS Controls, the NIST Cybersecurity Framework, and ISO 27001 — international standards that form the foundation of enterprise cyber defence. Application control, patching, MFA, admin privilege restriction — all built in at the maturity level your organisation is targeting.

Controls are baked in so the product supports your audit and assurance against frameworks such as SOC 2, ISO 27001 and ISO/IEC 42001, rather than complicating it. Network segmentation, cryptography, access control, and system hardening — all structured for regulated and sensitive workloads from the start.

AI systems can process sensitive personal information at scale — which makes privacy controls non-negotiable. We build to the privacy laws that apply to you, including GDPR, CCPA, and the privacy regimes that apply to you, embedding data minimisation, purpose limitation, and consent management directly into solution architecture.

Traditional security frameworks weren’t built for prompt injection, model hallucination, or training data poisoning. We layer dedicated AI safety controls on top — input validation, output guardrails, red-teaming before go-live, and model access controls aligned to the OWASP LLM Top 10 and ISO/IEC 42001.

Security isn’t a one-time deliverable. Every solution we deploy includes structured logging, real-time monitoring, and drift detection so you can demonstrate ongoing compliance — not just compliance at launch. Audit-ready dashboards give your security team clear visibility at all times.