A Guide to AI Security Posture Management (AISPM)
GenAI has gone from “interesting experiment” to “embedded in every ...
As organizations embrace the transformative potential of AI—from generative tools like Microsoft Copilot to enterprise-wide LLM initiatives—one truth is becoming increasingly clear:
You can’t scale AI safely without governance.
AI governance isn’t just about putting limits on what models can do. It’s about ensuring the integrity, accountability, and security of the data ecosystems that power those models. And yet, for many organizations, that foundational layer is either missing or underdeveloped.
The Challenge
AI doesn’t just use your data—it amplifies it. Fast.
Without strong controls in place, AI systems can:
- Surface sensitive content users shouldn’t have seen
- Propagate mislabeled or outdated data
- Create outputs that become new risk vectors
- Undermine compliance with regulations like HIPAA, GDPR, PCI, and others
AI governance frameworks are emerging, but the real question is: how do you put them into practice?
A Practical Framework for AI Governance (And How We Support It)
At Concentric AI, we’ve aligned our capabilities with a practical 9-point AI governance framework to help organizations move from theory to execution:
1. Discover & Classify
Governance starts with knowing what data you have. Most organizations can’t confidently answer questions like:
- Where does our sensitive data live?
- What business-critical data is being used in our AI workflows?
- How much of our data is stale, duplicative, or misclassified?
Concentric AI autonomously discovers and categorizes all forms of data—structured, unstructured, cloud, and on-prem—without rules, regex, or agents. We apply AI/ML to analyze context, not just content, providing visibility into IP, contracts, PII, and other data categories without manual configuration.
2. Enforce Data Governance Policies
Once classified, governance means control. That includes policies around:
- Who should have access
- Where data should reside
- How data should be shared internally or externally
We enable enforcement through built-in remediation workflows. Our platform can automatically fix permissions, adjust sharing settings, migrate or delete data, and update classifications—all without manual rules.
3. Monitor & Audit Data Usage
Governance isn’t a one-time task. It requires continuous monitoring of data flows, access behavior, and AI usage patterns.
Our solution builds a real-time view of user activity, permission drift, sharing risks, and abnormal usage. These insights power audit logs, access lineage, and real-time alerts that integrate with your SIEM, IAM, and DLP workflows.
4. Establish Accountability and Roles
AI governance is cross-functional. We help teams operationalize accountability by providing:
- A centralized data risk dashboard
- Role-based access to governance insights
- Bi-weekly working sessions with our Customer Success team to evolve policy
This model supports collaboration across security, IT, data governance, and compliance functions.
5. Implement Data Loss Prevention (DLP)
Our classified data map enhances your DLP systems. We feed high-fidelity classification signals into your DLP stack to reduce false positives, enrich alerts, and inform enforcement.
We also detect and block the unauthorized use of sensitive data in AI inputs and outputs, especially important as organizations roll out Copilot and similar tools.
6. Ensure Regulatory Compliance
With one platform, we help teams address data security and privacy mandates under:
- HIPAA, PCI, SOX, GDPR, CUI/ITAR, NIST, SOC2, and more
Our automated remediation capabilities and audit-ready reports provide a defensible compliance posture and reduce audit fatigue.
7. Integrate with AI Governance Tools
We support integrations with Microsoft 365 Copilot, SharePoint, Teams, and other cloud services where AI-generated or AI-accessed content lives.
Our DSPM for AI includes scanning and classifying AI-generated content, verifying permissions, and alerting on risky access or data movement.
8. Train and Educate Teams
AI governance isn’t just a platform—it’s a practice.
We support training and enablement by providing your teams with real-time insights, risk drill-downs, and co-managed policy design. Our platform makes it easy to build awareness and adoption across roles—from IT to data science to compliance.
9. Continuously Improve
With Concentric AI, you don’t just deploy and forget. We evolve with you.
Our customers benefit from:
- Continuous connector expansion (50+ live today)
- Ongoing policy tuning
- A strategic roadmap shaped by your feedback and priorities
Final Thoughts
AI is not just another IT initiative—it’s a new operating layer. And if your data security and governance practices weren’t ready for the last wave of cloud transformation, they certainly won’t be ready for the next wave of AI acceleration.
The good news? You don’t have to start from scratch.
If you’re ready to embed AI governance into your core operations—from discovery through to remediation and compliance—we’d love to show you how.