AI inventory and risk tiers
Document systems, models, data, vendors, decisions, users, and business impact.
Controls for production AI
AI Safety, Security, and Governance
Practical governance for AI applications and agents: system inventory, risk classification, access control, evaluations, audit evidence, incident response, and human oversight.
Business outcomes
Clear ownership and acceptable-use rules
Evidence for security and customer reviews
Controlled access to models and data
Repeatable evaluation before release
What we deliver
Technical guardrails
Implement permissions, isolation, prompt-injection defenses, limits, logging, and approvals.
Evaluation program
Test quality, security, privacy, robustness, and policy compliance before and after launch.
Governance operations
Define review gates, monitoring, incident workflows, evidence retention, and accountable owners.
Typical integrations
Identity providersSIEM platformsCloud audit logsModel gatewaysTicketing systemsData catalogsPolicy repositoriesEvaluation platforms
Frequently asked questions
How does an engagement start?
We begin with a feasibility audit that maps the workflow, systems, data, risks, and measurable acceptance criteria before implementation.
Can you work with our existing systems?
Yes. We integrate through supported APIs, secure service accounts, event streams, and approved browser automation when an API is unavailable.
How do you protect company data?
We design least-privilege access, encryption, audit logs, retention controls, human approvals, and private-cloud or on-premises deployment where required.
Start with a bounded, measurable workflow
We will map feasibility, risk, cost, and the fastest responsible path to production.