Sold by: SANS Institute
Deployed on AWS
This course prepares security leaders to navigate AI adoption and cloud transformation. Learn to build AI governance frameworks, understand OWASP LLM vulnerabilities, design cloud security architectures, and prepare for post-quantum cryptography challenges. The course covers vendor selection, implementation roadmaps, and executive-level strategy development.
Overview
Lead AI and cloud security transformation for your organization. Master strategic frameworks for AI governance, cloud security foundations, and post-quantum cryptography to drive innovation while building defenses against emerging threats.
Security leaders must navigate both AI adoption and cloud transformation simultaneously.
What you will learn:
AI Security Strategy
- Build the business case for AI security investment
- Design governance frameworks compliant with EU AI Act, NIST AI RMF, and ISO 42001
- Identify Shadow AI and supply chain risks
- Address OWASP LLM Top 10 vulnerabilities including prompt injection
AI Defense and Implementation
- Defend against adversarial ML attacks and data poisoning
- Counter deepfake and AI-enhanced fraud threats
- Transform SOC operations with AI-powered capabilities
- Build implementation roadmaps with vendor selection criteria
Cloud Security Foundations
- Establish landing zones and multi-account architectures
- Implement identity and access management at scale
- Configure security guardrails and CSPM tooling
- Design secure network architectures with Zero Trust principles
Cloud Operations and Governance
- Protect data with encryption, classification, and backup strategies
- Integrate DevSecOps into CI/CD pipelines
- Manage multicloud and SaaS security governance
- Lead organizational transformation for cloud adoption
Post-Quantum Readiness
- Understand quantum threats to current encryption
- Build cryptographic inventories and assess dependencies
- Develop crypto-agility strategies for PQC transition
Culminates in executive capstone: design enterprise security modernization strategy.
30 CPE credits across 5 intensive days.
Highlights
- Master AI governance frameworks (EU AI Act, NIST AI RMF, ISO 42001), cloud security architecture, identity management, and post-quantum cryptography preparation for comprehensive emerging technology leadership
- 13 hands-on labs: design AI governance frameworks, conduct OWASP LLM threat modeling, assess vendor solutions, build implementation roadmaps, plus executive capstone designing enterprise security modernization
- Earn 30 CPE credits across 5 days of expert-led training. Designed for security leaders responsible for AI adoption, cloud transformation, and emerging technology strategy decisions
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
LDR520 - Single User | Single user license for Leadership - LDR520: Emerging Trends for Cyber Leaders: AI & Cloud | $8,260.00 |
Vendor refund policy
Refunds available within 30 days if course not accessed.
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Delivery details
Software as a Service (SaaS)
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Support
Vendor support
AWS infrastructure support
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