Governance
Operational guardrails for safe AI adoption.We implement policies, controls, and monitoring so AI usage aligns with your security, compliance, and privacy standards.
We ensure every AI workflow inherits your security posture—covering identity, data loss prevention, auditability, and incident response.
Governance program
Review current AI use, risks, and regulatory needs.
Set policies, controls, and approved patterns.
Implement identity, DLP, and logging configurations.
Track usage, exceptions, and improvements over time.
Governance focus areas
Policy & Access
Structure AI access and usage rules.
- Acceptable use and exception handling
- Role-based enablement with MFA and conditional access
- Change control for prompts, bots, and connectors
Data Controls
Protect sensitive information.
- Sensitivity labels, retention, and DLP policies
- Data boundary design for AI assistants
- Audit trails for regulated workloads
Operations
Keep AI reliable and supportable.
- Monitoring, alerting, and logging standards
- Incident response for AI-enabled workflows
- Lifecycle management for prompts and automations
Adoption
Drive compliant usage.
- Training and enablement with guardrails explained
- Usage analytics and periodic reviews
- Playbooks for new use-case requests
Frequently Asked Questions
Yes. We account for retention, audit, and data residency requirements when designing controls.
We define clear approval paths, temporary access rules, and documentation requirements.
We can forward logs and alerts to your SIEM/SOAR for centralized monitoring.
Need governed AI adoption?
We’ll implement the policies, controls, and monitoring you need for safe AI usage.