Senior Access
Speak with engineers who can inspect, decide, and execute.
What We Solve
Protect AI systems where output quality is only part of the problem.
AI governance is about enforceable boundaries: who can authorize it, what it can access, and what it can execute.
We focus on injection, over-permissioned agents, data exposure, weak review flows, and missing audit trails.
- Prompt injection and unsafe instruction chaining
- Over-broad agent permissions across tools and systems
- Sensitive data leakage in retrieval, prompts, or outputs
- Weak tenant boundaries in shared AI workflows
- No audit trail for actions, prompts, or decisions
- Policy gaps around human approval and escalation
- Vendor and model risk without clear control points
- Enterprise friction when AI features cannot survive security review
If you cannot govern the AI system, you do not control it.
What You Get
- Threat model for prompts, tools, data, and runtime actions
- Authorization design for agents, users, tools, and escalation paths
- Guardrail architecture for sensitive actions and high-risk flows
- Logging and review model for auditability and incident response
- Governance package leadership, engineering, and security can all use
Controls and Delivery
Security Layers
- Prompt, retrieval, tool, and output-path analysis
- Identity and authorization boundaries for AI agents
- Data scoping, tenancy rules, and secrets handling
- Human approval flows for sensitive operations
Validation
- Scenario-based testing and AI red-team cases
- Runtime logging and explainability requirements
- Policy checks for production release readiness
- Remediation sequencing and control validation
Typical Outputs
- AI control map and risk register
- Authorization and approval design
- Guardrail recommendations and rollout logic
- Evidence pack for procurement or internal review
Business Fit
- AI products heading into enterprise sales
- Internal agents touching live systems or sensitive data
- Teams under compliance, legal, or procurement pressure
- Organizations that want AI capability without avoidable trust failures
Why Teams Move Fast
Senior engineers. Clear next steps. Work built for systems that carry real pressure.
Personal data is handled with clear discipline across GDPR, UK GDPR, CCPA/CPRA, PIPEDA, and DPA/SCC expectations where applicable.
Usable First Step
Reviews, priorities, scope, and next moves your team can use right away.
Built for Pressure
AI, systems, security, native software, and low-latency infrastructure.
Delivery
Senior-led
Direct technical communication
Coverage
AI, systems, security
One team across the stack
Markets
Europe, US, Singapore
Clients across key engineering hubs
Personal data
Privacy-disciplined
GDPR, UK GDPR, CCPA/CPRA, PIPEDA, DPA/SCC-aware
Start with the system, the pressure, and the decision ahead. We shape the next move from there.