01
Direct Access
You talk directly to engineers who inspect the system, name the tradeoffs, and do the work.
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.
That usually shows up as prompt injection and unsafe instruction chaining, over-broad agent permissions across tools and systems, no audit trail for actions, prompts, or decisions, and policy gaps around human approval and escalation.
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 Choose SToFU Systems
Senior-led delivery. Clear scope. Direct technical communication.
02
Bounded First Step
Most engagements start with a review, audit, prototype, or focused build instead of a giant retained scope.
03
Evidence First
Leave with clearer scope, sharper priorities, and a next move the business can defend under scrutiny.
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