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SEC595: Applied Data Science and AI/Machine Learning for Cybersecurity Professionals

SEC595Cyber Defense, Artificial Intelligence
SEC595: Applied Data Science and AI/Machine Learning for Cybersecurity Professionals
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AI Security Starts Here

SANS is helping shape the secure, AI-capable workforce the future demands. Our industry-defining training and role-specific resources help organizations advance AI education, strengthen talent pipelines, and secure innovation. Backed by global standards leadership and real-world expertise, we prepare professionals at every level to lead safely and confidently in the age of AI.

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SANS AI Security Training August 2026

Join us for an unparalleled learning experience delivered by world-renowned cybersecurity instructors. SANS AI Security Training August 2026, benefit from real-time access to industry experts, immersive training sessions, and industry-leading hands-on labs - all from the comfort of your own environment.

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An Operational Framework for AI Security

Protect: Securing AI Systems at Their Core

Embedding safeguards into models, data pipelines, and agentic workflows to prevent adversarial manipulation, data leakage, and unintended behaviors before they can impact the business.

Utilize: Operationalizing AI in Cyber Defense

Integrating AI-enabled workflows across SOC operations and equipping teams to accelerate defensive capabilities without losing visibility, control, or alignment with established security practices.

Govern: Leading Safe and Responsible AI Adoption

Driving research, compliance, and policy readiness to ensure AI is adopted securely, ethically, and at scale across business and technical environments.

AI Isn't the Threat to Your Organization. Deploying It Faster Than You Can Govern It Is.

The SANS AI Security Maturity Model™ eBook gives you and your team a clear, actionable roadmap for understanding where your organization stands on AI security and exactly what it takes to get to the next level. Sign up now to get the eBook straight to your inbox on May 12th. What's Covered: 

  • Assess where you stand across Protect, Utilize, & Govern with an evidence-based scoring model
  • Progress to AI-native security with a 5-stage framework, defined controls,& actions at every level
  • Align with global standards (NIST AI RMF, EU AI Act, ISO 42001, &OWASP)
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AI Security Maturity Model

AI Training for Cybersecurity Practitioners

SANS AI training prepares security professionals to understand, defend, and operationalize AI at every layer; from models and pipelines to investigations and alerts. Our current portfolio addresses two core AI use cases: 

AI-Focused: For those securing AI systems themselves: 

AI-Focused Courses are courses built entirely around AI cybersecurity. Theselum cover all three tracks of the SANS Secure AI Blueprint: protecting and red-teaming AI systems (LLMs, pipelines, models), utilizing AI for autonomous defense/offense, and governing AI risk. Designed for specialized roles including AI Security Engineers, AI/ML Developers, and AI Governance Leads.

AI-Skills: For those using AI tools within their current role 

AI-Skills Courses integrate AI into traditional cybersecurity disciplines. These teach practitioners how to apply AI as a force multiplier within their current roles - - SOC analysts using AI for faster triage, investigators using AI for forensic analysis, threat hunters using AI for anomaly detection. The focus is on modernizing existing tradecraft with AI tools, not on securing the AI itself.

Each course is built by real-world practitioners, grounded in modern attack and defense use cases, and designed to deliver hands-on, job-relevant outcomes.

Introducing the SANS Secure AI Blueprint

This blueprint is the definitive model for protecting, utilizing, and governing AI. Authored by SANS Chief of Research, Rob T Lee, this new paper arms leaders and defenders with field-ready strategies to secure innovation, outpace adversaries, and own AI securely.

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SANS Critical AI Security Guidelines

Developed by SANS researchers in collaboration with leading industry and government contributors, this expert-led framework defines the essential security controls needed to defend, govern, and deploy AI responsibly. Learn to address real-world threats across access control, model protection, inference security, monitoring, and GRC. From prompt injection and model poisoning to regulatory readiness and AI bill-of-materials tracking, this document provides actionable guidance for securing GenAI systems at scale. Whether you're building policies or fortifying infrastructure, this is the foundational reference trusted by cybersecurity professionals shaping the future of AI security.

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Global AI Leadership in Action

SANS + OWASP: Raising the Bar for AI Security

Partnering to advance practical, open standards for secure AI deployment.

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Summits that Shape the Standards

Keynotes and expert sessions driving the next wave of AI security.

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Insights from the Frontlines of AI

Practitioner blogs covering real threats, real lessons, and real wins.

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Instant Access AI Insights

See How SANS Is Helping Define the Future of Secure AI

Want a clearer picture of where AI security is heading? This quick-read infographic highlights how SANS is shaping the frameworks, standards, and policies guiding AI adoption worldwide – from OWASP and the EU AI Act to the 3-track model in the Secure AI Blueprint.

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Building the Capabilities Demanded by an AI-driven Future

AI is transforming cybersecurity roles faster than organizations can adapt. From incident response to governance, today’s defenders need new skills, and entirely new job functions are emerging. These roles demand fluency in AI-driven threats, secure system design, and policy leadership. Whether you're planning your own path or shaping a team, now is the time to understand what the future requires.

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Featured AI Courses

  • Slide 1 of 9

    SEC573: AI-Powered Security Automation: Building Tools with Python, LLMs, and MCP

    MAJOR UPDATES
    AI-FOCUSED
    Advanced
    SEC573Cyber Defense, Artificial Intelligence
    SEC573: Automating Information Security with Python
    • GIAC Python Coder (GPYC)
    • 6 Days (Instructor-Led)
    • 36 CPEs / 36 Hours (Self-Paced)
    • Labs: 128 Hands-On Labs

    View course detailsRegister
  • Slide 2 of 9

    SEC545: (5-Day) GenAI and LLM Application Security

    NEW
    AI-FOCUSED
    Advanced
    SEC545Cloud Security, Artificial Intelligence
    SEC545: GenAI and LLM Application Security
    • GIAC AI Platform Security (GAIPS)
    • 5 Days (Instructor-Led)
    • 30 CPEs / 30 Hours (Self-Paced)
    • Labs: 20 Hands-On Labs

    View course detailsRegister
  • Slide 3 of 9

    SEC411: AI Security Principles and Practices: GenAI and LLM Defense

    NEW
    AI-FOCUSED
    Intermediate
    SEC411Cyber Defense, Artificial Intelligence
    SEC411
    • 18 CPEs / 18 Hours (Self-Paced)
    • Labs: 5 Hands-On Labs

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  • Slide 4 of 9

    SEC495: Leveraging LLMs: Building & Securing RAG, Contextual RAG, and Agentic RAG

    AI-FOCUSED
    Essentials
    SEC495Cyber Defense, Artificial Intelligence
    SEC495: Leveraging LLMs: Building & Securing RAG, Contextual RAG, and Agentic RAG
    • 7 CPEs / 7 Hours (Self-Paced)

    View course detailsRegister
  • Slide 5 of 9

    SEC535: Offensive AI - Attack Tools and Techniques

    NEW
    AI-FOCUSED
    Intermediate
    SEC535Offensive Operations, Artificial Intelligence
    SEC535: Offensive AI - Attack Tools and Techniques
    • GIAC Offensive AI Analyst (GOAA)
    • 3 Days (Instructor-Led)
    • 18 CPEs / 18 Hours (Self-Paced)
    • Labs: 14 Hands-On Labs

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  • Slide 6 of 9

    SEC545S: (3 Day) GenAI and LLM Application Security

    AI-FOCUSED
    Advanced
    SEC545SCloud Security, Artificial Intelligence
    SEC545: GenAI and LLM Application Security
    • 3 Days (Instructor-Led)
    • 18 CPEs / 18 Hours (Self-Paced)
    • Labs: 11 Hands-On Labs

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  • Slide 7 of 9

    SEC595: Applied Data Science and AI/Machine Learning for Cybersecurity Professionals

    AI-FOCUSED
    Advanced
    SEC595Cyber Defense, Artificial Intelligence
    SEC595: Applied Data Science and AI/Machine Learning for Cybersecurity Professionals
    • GIAC Machine Learning Engineer (GMLE)
    • 6 Days (Instructor-Led)
    • 36 CPEs / 36 Hours (Self-Paced)
    • Labs: 30 Hands-On Labs

    View course detailsRegister
  • Slide 8 of 9

    SEC598: AI and Security Automation for Red, Blue, and Purple Teams

    AI-FOCUSED
    Intermediate
    SEC598Offensive Operations, Artificial Intelligence
    SEC598: AI and Security Automation for Red, Blue, and Purple Teams
    • GIAC AI Security Automation Engineer (GASAE)
    • 6 Days (Instructor-Led)
    • 36 CPEs / 36 Hours (Self-Paced)
    • Labs: 25 Hands-On Labs

    View course detailsRegister
  • Slide 9 of 9

    FOR563: Applied AI for Digital Forensics and Incident Response: Leveraging Local Large Language Models

    NEW
    AI-FOCUSED
    Intermediate
    FOR563Digital Forensics and Incident Response, Artificial Intelligence
    FOR509: Enterprise Cloud Forensics and Incident Response
    • 1 Day (Instructor-Led)
    • 6 CPEs / 6 Hours (Self-Paced)
    • Labs: 4 Hands-On Labs

    View course detailsRegister

Explore the SANS AI Knowledge Hub on NotebookLM

Access a curated collection of expert insights, transcripts, and research from SANS Faculty and industry leaders on the evolving world of AI security. Discover how SANS is teaching, applying, and advancing responsible AI—covering everything from governance and risk management to GenAI, LLMs, and emerging threats. Ask questions, explore guided mindmaps, and connect ideas across our full library of AI content. Open the hub in NotebookLM (requires Google Login).

Meet Your Experts

Rob Lee

Rob T. Lee

Chief AI Officer and Chief of Research at SANS Institute

Rob T. Lee is Chief AI Officer and Chief of Research at SANS Institute, where he leads research, mentors faculty, and helps cybersecurity teams and executive leaders prepare for AI and emerging threats.

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David Hoelzer

David Hoelzer

CEO at Enclave Forensics, Inc.

David Hoelzer has fundamentally advanced cybersecurity by pioneering the GIAC Security Expert (GSE) certification, leading AI-driven threat detection initiatives, and developing MAVIS, an open-source ML tool enhancing code review processes.

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Ahmed Abugharbia

Ahmed Abugharbia

Co-founder at Cystack

Ahmed is the founder of Cyberdojo with 17+ years in cloud, network, and application security. He specializes in GenAI security and has led projects in cloud security, application security, and incident response.

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Jess Garcia

Jess Garcia

Founder at One eSecurity

Jess Garcia is the founder and technical lead of One eSecurity, a global Information Security company specialized in Incident Response and Digital Forensics.

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Frank Kim

Frank Kim

Venture Advisor at YL Ventures

SANS Fellow Frank Kim helps to develop the next generation of CISOs and cyber leaders while teaching LDR512 and LDR514.

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Jason Ostrom

Jason Ostrom

Founder and Principal Consultant at Stora Information Security

Jason Ostrom has revolutionized cybersecurity by developing open-source tools like PurpleCloud and Automated Emulation, enabling scalable adversary emulation in cloud environments.

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AI Insights From The Experts

AI & Cybercrime: How Criminals Are Weaponizing AI

This talk will look at how attackers are actually making use of artificial intelligence to attack organizations through social engineering attacks, and what organizations can do to try and actually address these threats.

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Securing AI in 2025: A Risk-Based Approach to AI Controls and Governance

The SANS Draft Critical AI Security Guidelines v1.1 outlines how enterprises can implement AI securely and effectively using a risk-based approach.

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SANS 2025 AI Survey Webcast & Forum: Measuring AI's Impact on Security Three Years Later

This webcast is built on insights from one of our most anticipated cybersecurity surveys of the year—offering an in-depth look at how the community is adopting, adapting to, and defending against artificial intelligence in all its forms.

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