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Cisco AI Security Assessment

Assess your organization's readiness to securely adopt AI.

Answer eight quick questions to understand your current AI security posture, identify priority focus areas, and plan your next steps. Select the option that best matches your current environment.

Question 1 of 8

Which types of AI applications is your organization using? Select all that apply.
How much autonomy do your most advanced AI applications currently operate with?
How do you source your AI models? Select all that apply.
What is the most sensitive data your AI systems can read, generate, or act on?
Which of the options below most closely describes the current status of your agent supply chain governance (models, datasets, MCP servers, skills, and related assets)?
What types of runtime protection are you applying?
How are AI applications tested for AI-specific risks such as prompt injection, sensitive data disclosure, and model misalignment?
How are you handling identity for AI agents?

Submit your answers to learn your posture maturity

Each organization is mapped to one of three readiness bands that reflect its current AI security posture.

Foundational

Early-stage controls

AI usage is growing faster than oversight, guardrails, and operating discipline. Next steps should include defining organizational policies and identifying tooling to close security control gaps.

Progressing

Emerging governance

Governance and runtime safeguards exist, but coverage is uneven. Organization should focus on optimizing existing tooling, hardening deployments, and introducing automation.

Advanced

Ready to scale securely

The organization has clear accountability, layered controls, and repeatable practices. The organization is a trailblazer in terms of AI security readiness, but continued diligence is needed to maintain preparation as new AI risks emerge.

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