
62% of CIOs admit they're compromising on governance due to limited knowledge, and only 44% say they fully understand AI's risks (Logicalis 2026 CIO Report).
Governance isn't a barrier to AI adoption. It's the foundation that lets you scale AI with confidence — backed by 20 years of security-first managed services experience.
Thirteen ways we close the gaps that make 62% of CIOs admit they're compromising on governance.
Clear, practical AI usage policies that define what's acceptable, what isn't, and who decides — written to be understood, not just filed away.
Organizational structures, decision rights, and oversight processes that make AI governance operational rather than aspirational.
Identification and mitigation of the data risks AI introduces — from sensitive data exposure to training data poisoning to output manipulation.
Discovery and management of unsanctioned AI tools already in use across your organization — because what you don't know about, you can't protect.
Evaluation of AI vendors and tools for security, privacy, data handling, and compliance before you adopt them — not after a problem surfaces.
Assessment of AI model risks — bias, drift, accuracy degradation, and adversarial vulnerability — with monitoring and mitigation strategies.
Controls and processes that protect personal and sensitive data throughout the AI lifecycle — from input to processing to output.
Access control design that gives AI agents the minimum permissions needed to do their jobs — and nothing more.
Structured human-in-the-loop checkpoints that ensure critical decisions receive human review — with clear escalation paths.
Logging, documentation, and traceability that make your AI operations auditable — so you can prove what was done, when, and why.
Mapping AI controls to HIPAA, SOC 2, CMMC, and NIST requirements so your AI deployments meet the standards your industry demands.
Structured assessments of AI-specific risks across your organization, with prioritized recommendations for mitigation.
AI-specific incident response plans that define what happens when an AI system fails, behaves unexpectedly, or is compromised.
We map AI controls to the frameworks your organization already operates under.
Whether you're in healthcare, defense, financial services, or any regulated industry, we ensure your AI deployments meet the compliance standards your business depends on.
AI governance doesn't exist in a vacuum. It's part of your overall security posture.
Xact AI Solutions is a division of Xact IT Solutions — a 20-year-old managed security services provider with zero managed-client breaches and a GTIA Trustmark. That security DNA informs everything we do.
Our AI governance work connects directly to Xact Cybersecurity's broader capabilities — network security, endpoint protection, incident response, compliance management, and security awareness training. When you work with us on AI governance, you're not getting a consultant who read a framework. You're getting a team that has been protecting businesses for two decades.
The same security discipline that has kept our managed clients breach-free for 20 years is applied to every AI policy, control, and governance framework we build.
62% of CIOs admit they're compromising on governance due to limited knowledge (Logicalis 2026 CIO Report). Schedule a consultation and we'll assess your current AI governance posture and the controls you need to close the gap.
Get Your Governance in PlaceXact IT Solutions | AI Governance & Security
Policies, controls, and security frameworks that make AI auditable, compliant, and trustworthy.