WHERE AGENTIC AI BREAKS HERE
Jailbreak vectors nudging off-policy speech
Adversarial prompts coax the assistant into unauthorised promises, refund commitments, or speech the brand would never sanction.
Prompt injection through user-supplied content
Uploads, shared links, and free-text inputs all carry hidden instructions. Nudged agentic AI pivots its behaviour mid-conversation.
Brand-safety drift over time
The underlying model updates. Behaviour shifts. Without the assurance layer release-over-release, nobody catches it until a complaint.
Assistant tested against the 84+ jailbreak library before release
Brand-safety probes, refund and policy injection, and adversarial conversational flows all run as a standard pre-release gate.
67+ input validators applied across modalities
Uploaded files, shared links, and free-text inputs checked for injection payloads before the assistant ever sees them.
Live conversations scored for brand-safety and conduct compliance
Inline blocks on out-of-policy commitments, plus identity gates on any tool call that touches customer accounts.
Audit trail mapped to consumer-duty and EU AI Act articles
Transparency-reporting artefacts assembled from live conversations, ready for FCA, FTC, and EU AI Act review on demand.
Per-release jailbreak-resistance posture
Every release tested against 84+ techniques, with evidence to defend the production decision.
Drift detection release-over-release
Brand-safety shifts caught as they happen, not surfaced through a customer complaint or social-media screenshot.
Consumer-duty and EU AI Act evidence
Transparency-reporting artefacts generated from live conversations, mapped to the regulatory articles that apply.
One pattern, adjacent workflows
The same assurance shape reused across in-app help, voice channels, and adjacent customer-facing assistants.
