Solutions
AI that acts is AI that can hurt you
Security for companies that can't afford a headline
The moment AI moves from answering to acting — sending emails, updating records, calling APIs — the stakes change. We build the guardrails before the blast radius grows.
The problem
A wrong answer in chat is embarrassing. A wrong action at scale is a crisis. Most companies have no idea what their AI could do if tricked, misconfigured or left unchecked.
What we address
- Protection against manipulation of your AI systems
- Confidence that AI only uses trusted company knowledge
- Secure runtime — secrets, access and isolation done right
- Emergency stops when AI behaves unexpectedly
- Threat assessment tailored to your AI architecture
- Runbooks your team can actually follow in an incident
Deliverables
- AI threat model and control mapping
- Security architecture for agents and RAG
- Guardrail and validation strategy
- Operational security runbook
- Prioritised remediation roadmap
For whom
- — CISOs and security teams evaluating production AI
- — Regulated industries that need demonstrable controls
- — Leaders who want AI innovation without opening attack vectors
We review threats, controls, isolation and operational readiness across all three axes.
Solutions · Radiography
AI Security
How do we protect AI — and the enterprise from AI?
Security for production AI spans the model, context, tools, runtime and business operations. The goal is not only to protect the AI system — but to prevent autonomous or semi-autonomous systems from causing harm at scale.
The problem
Prompt injection, data leakage, poisoned RAG corpora and over-privileged tools are not edge cases. As AI moves from answering to acting, the blast radius of a mistake grows with every connector and permission granted.
What we address
- Prompt injection, jailbreak detection and output validation
- RAG corpus integrity, embedding poisoning and retrieval filters
- Runtime hardening, supply-chain security and sandboxed tool execution
- Secrets management, vault integration and least-privilege IAM
- Zero-trust AI, network policies and tenant isolation boundaries
- Circuit breakers, kill switches and economic rate limits
- STRIDE threat modelling and incident readiness playbooks
Deliverables
- AI threat model and control mapping
- Security architecture for agents and RAG
- Guardrail and validation strategy
- Operational security runbook
- Prioritised remediation roadmap
For whom
- / Security teams assessing AI in production
- / Platform engineers hardening agent runtimes
- / Regulated industries requiring demonstrable controls
We review threats, controls, isolation and operational readiness across all three axes.