Unknown AI Assets
Models, copilots, agents, applications, and third-party tools can operate without inventory, ownership, or approval.
AI TRiSM
BigID helps organizations operationalize AI Trust, Risk, and Security Management by discovering AI assets, securing sensitive data, governing access, detecting risk, and supporting compliance across the AI lifecycle.
Move from AI visibility to AI control with data-aware governance for models, agents, copilots, prompts, pipelines, applications, and training data.
The AI TRiSM Challenge
Organizations are adopting AI systems, models, copilots, third-party tools, and autonomous agents faster than security, governance, privacy, and compliance teams can track or control them.
Models, copilots, agents, applications, and third-party tools can operate without inventory, ownership, or approval.
Training data, prompts, outputs, and AI workflows may contain regulated, confidential, or proprietary data.
AI systems and users may have broader access to models, datasets, and pipelines than business need requires.
Teams need evidence, controls, and reporting for frameworks like NIST AI RMF, EU AI Act, and ISO/IEC 42001.
What Is AI TRiSM?
AI TRiSM stands for AI Trust, Risk, and Security Management. It helps organizations govern AI systems by managing trust, reducing risk, securing AI assets, protecting sensitive data, and supporting compliance across the AI lifecycle.
As AI adoption expands across models, agents, copilots, applications, prompts, and data pipelines, organizations need controls that connect AI usage to data sensitivity, identity, access, activity, compliance, and business impact.
Build confidence in AI systems by understanding data lineage, ownership, usage, governance, and compliance posture.
Identify shadow AI, data leakage, excessive access, policy violations, sensitive data exposure, and risky AI workflows.
Protect models, agents, copilots, prompts, training data, pipelines, and AI applications with data-aware controls.
Operationalize AI governance with inventory, monitoring, ownership, policy enforcement, reporting, and remediation.
AI TRiSM Gap
Many AI governance programs focus on policies and model inventories, but miss the sensitive data, access, activity, ownership, and risk context required to operationalize trust, security, and compliance.
Disconnected AI Governance
BigID AI TRiSM
BigID Capabilities
BigID helps teams move AI TRiSM from policy to practice by connecting AI inventory, sensitive data discovery, access governance, risk detection, compliance, and remediation.
Inventory AI models, copilots, agents, applications, third-party tools, datasets, prompts, and pipelines.
Explore AI Security โIdentify sensitive, regulated, confidential, proprietary, and critical data used to train, tune, prompt, or power AI.
Explore Discovery & Classification โControl access to AI models, training datasets, prompts, outputs, pipelines, and AI-powered applications.
Explore AI Access Governance โUncover unauthorized AI tools, rogue copilots, hidden model deployments, and unapproved AI workflows.
Explore AI Security & Governance โMap controls, evidence, policies, and reporting to AI governance frameworks and emerging regulations.
Explore AI Governance โReduce exposure, enforce least privilege, delegate ownership, route alerts, and trigger automated workflows.
Explore Remediation โHow BigID Helps
BigID helps organizations manage AI trust, risk, and security by connecting AI assets to the data they use, the identities behind them, the access they inherit, and the risks they create.
BigID gives security, privacy, governance, and compliance teams the data-aware intelligence needed to safely scale AI.
Use Cases
BigID helps teams apply AI TRiSM across AI asset discovery, shadow AI detection, AI data protection, access governance, compliance, and remediation.
Catalog AI systems, models, agents, copilots, applications, prompts, datasets, and pipelines.
Explore AI Security โFind unauthorized AI tools, rogue copilots, unmanaged models, and hidden AI workflows.
Explore Shadow AI Discovery โProtect sensitive data used in training, tuning, prompting, outputs, pipelines, and AI applications.
Explore Cloud DLP โControl who and what can access AI data, models, prompts, outputs, and pipelines.
Explore AI Access Governance โSupport governance evidence, reporting, policy mapping, data lineage, and AI risk oversight.
Explore Data & AI Governance โPrioritize and remediate overexposed data, excessive access, unauthorized use, and policy violations.
Explore Remediation โCritical Questions
AI TRiSM requires clear answers about where AI exists, what data it uses, who can access it, what risks are present, and how governance can be proven.
Inventory AI models, copilots, third-party tools, agents, applications, prompts, datasets, and pipelines.
Identify regulated, confidential, proprietary, personal, and business-critical data used by AI systems.
Map users, groups, service accounts, applications, agents, and non-human identities to AI assets and data.
Prioritize overexposed training data, excessive permissions, shadow AI, unauthorized use, and policy violations.
Support audits and reporting with governance evidence, policy controls, data lineage, ownership, and remediation history.
FAQs
Learn how BigID helps organizations operationalize AI Trust, Risk, and Security Management by discovering AI assets, governing access, protecting sensitive data, and reducing AI risk.
Resources
Explore related BigID resources for AI security, AI governance, AI access, AI identity, and data protection.
Learn how to operationalize AI Trust, Risk, and Security Management with data-aware governance, AI risk visibility, sensitive data protection, and compliance-ready controls.
Download White Paper โSecure AI systems, agents, models, prompts, identities, applications, and sensitive data.
Learn More โGovern what AI systems, agents, and applications can access across enterprise data environments.
Explore More โDiscover AI identities, establish ownership, understand permissions, and reduce AI identity risk.
Read More โAI TRiSM
BigID helps organizations discover AI assets, protect sensitive AI data, govern access, detect risk, support compliance, and automate remediation across the AI lifecycle.