Wiz

Practical tools for securing AI apps, models, and agents

The AI Security Starter Pack (Free Download)

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Key Takeaways
  • personAccess to 7 widely used AI security resourcesGet our key AI security-focused content in one place.
  • increasing-arrowCreated by our in-house expertsOriginal, expert-led content designed to support security leaders, developers, and practitioners.
  • visibilityPractical takeaways & learningsApply real-world checklists, templates, and best practices designed to secure AI adoption.

What’s included?

Get 7 of our most widely used AI security resources in one place. Each asset is designed to solve a real, recurring security challenge.

  1. State of AI in the Cloud 2026
    AI is now embedded across cloud environments, fundamentally reshaping the security perimeter through autonomy and automation. In this report, we outline what security teams need to know and how to respond.

  2. CISO AI Security Roadmap
    This roadmap provides security leaders with a structured framework, a 90-day implementation plan, and key metrics to effectively govern and secure a complex ecosystem of generative AI, traditional machine learning, and autonomous agents.

  3. AI Security Board Report Template
    This editable board report template helps CISOs and security leaders communicate AI risk, posture, and priorities in a way the board understands, using real metrics, risk narratives, and strategic framing.

  4. GenAI Security Best Practices Cheat Sheet
    This cheat sheet provides a practical overview of the 7 best practices you can adopt to start fortifying your organization’s GenAI security posture.

  5. Securing AI Agents 101
    This flashcard-style "one-pager" report outlines how AI agents function in the enterprise, where hidden security risks emerge, and the top three practical steps needed to protect AI pipelines, models, and automated decisions.

  6. Model Context Protocol (MCP) Security Best Practices Cheat Sheet
    This cheat sheet outlines best practices for securing MCP servers and supply chains, enforcing least-privilege tool access, and establishing human-in-the-loop safeguards.

  7. LLM Security Best Practices Cheat Sheet
    This cheat sheet packed with over 20 best practices, threat modeling guidance, and checklists to help security and engineering teams secure AI data, models, infrastructure, and governance.

Who is this bundle for?

This bundle is designed for both security leaders and practitioners - anyone who needs practical, implementation-ready resources to secure AI adoption, models, and agents across their environments.

  • CISOs, Deputy CISOs, and Heads of Security who need proven frameworks and board-ready templates to communicate AI risk, posture, and priorities in clear, business-aligned terms.

  • AI/ML Engineers & DevSecOps Practitioners — who design, build, and deploy generative AI applications and need actionable, technical checklists to harden LLMs and Model Context Protocol (MCP) servers.

  • VPs of Engineering, Cloud, and Product Security who need a unified view of risk across infrastructure, code, and models.

  • High-growth security teams looking to discover shadow AI, establish governance over autonomous AI agents, and mature their AI security posture.

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"私が今まで見た中で最高のユーザーエクスペリエンスは、クラウドワークロードを完全に可視化します。"
デビッド・エストリックCISO (最高情報責任者)
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アダム・フレッチャーチーフ・セキュリティ・オフィサー
"Wizが何かを重要視した場合、それは実際に重要であることを私たちは知っています。"
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