Enterprise AI Security
Secure AI usage, data protection, and threat awareness
Outcome: Reduce AI-related security exposure across tools, data flows, and integrations.
Threat model awareness, data handling controls, and secure configuration guidance.
Implementation Outcome
This course addresses AI-specific security risks, including data leakage, misuse, access control, and traceability. It frames AI security as enterprise risk management rather than tooling.
- AI data handling and security control checklist
- Threat and misuse scenario library
- Secure configuration and access guidance
Controls & Evidence
- Designed for records retention, version control, and documented review cadence
- Supports internal control alignment and defensible oversight practices
- Produces an audit-reviewable evidence set suitable for internal audit request workflows
Data handling: No submission of sensitive or proprietary data is required to complete the program.
Risk Exposure
Lack of defensible policies or controls can result in significant, unmitigated enterprise risk exposure. This program addresses the risk areas most relevant to this capability.
- Prompt injection and data exfiltration risks
- Sensitive data exposure through AI workflows
- Insufficient logging/monitoring of AI usage
- Unreviewed integrations increasing attack surface
Deliverables
AI Security Control Checklist
Access, logging, data protection, and secure usage requirements.
Threat Scenario Library
Prompt injection, data exfiltration, and misuse patterns.
Security Review Workflow
When security review is required and what evidence is needed.
Secure Tooling Guidance
Approved tool configuration, identity, and monitoring recommendations.
Governance Lifecycle Integration
- Baseline: Establish policy-aligned use patterns and minimum control expectations across affected teams.
- Oversight: Assign accountable owners, decision rights, and escalation paths for AI-assisted activities.
- Monitoring: Define review cadence, metrics, and control checks aligned to operational reality.
- Documentation: Maintain version-controlled artifacts and evidence suitable for records retention and review.
- Audit Review: Enable internal audit and leadership review with traceable controls, decisions, and evidence.
Buyer Questions
Does this require sharing confidential data with the provider?
No. The program is designed for policy, controls, and safe-use practices. Participants can complete the program without submitting sensitive or proprietary data.
Who should attend?
Security, IT, risk, compliance
What evidence is produced for audit review?
Version-controlled artifacts (policy templates, oversight workbook outputs, and control-aligned documentation) suitable for internal audit requests and governance reviews.
How is it deployed?
On-demand delivery with enterprise licensing options. LMS and SSO integration can be included in rollout scoping.
How are artifacts maintained over time?
Artifacts are designed for version control and periodic review. Organizations can align updates to internal change management and records retention requirements.
Request Enterprise Pricing
For rollout scoping (seat counts, deployment model, LMS/SSO integration, and licensing options), request enterprise pricing and deployment scope.