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Pillar Technology Partners

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AI Security Assessment

10 quick questions to benchmark
your AI security posture


Ready to see how secure your AI really is?

In just two minutes, map your readiness across 10 critical domains. From model resilience to supply chain security, and see where to focus next.

  • You’ll evaluate your organization across ten key areas. From governance and compliance to data protection, model security, and workforce readiness.

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  • Your results will appear instantly as an AI Security Radar, giving you a clear visual snapshot of strengths, risks, and opportunities for improvement.

Governance & Strategy

Do we have clear ownership and policies that connect AI initiatives to enterprise risk and business goals?

Risk Management & Compliance

Have we identified and prioritized AI-specific risks (like model misuse or bias) and aligned them with compliance requirements?

Data Security & Privacy

Is AI-related data protected throughout its lifecycle, with privacy and access controls applied consistently?

Model Security & Robustness

Do we test and harden our AI models against adversarial attacks, data poisoning, or unintended misuse?

Operations & Infrastructure Security

Is the infrastructure supporting AI (pipelines, cloud, compute) secured to the same standard as other critical systems?

Monitoring & Incident Response

Do we actively monitor for AI-specific anomalies (like model drift) and have response playbooks prepared?

Human Factors & Awareness

Have we trained staff across business and technical functions on AI risks, responsibilities, and accountability?

Third-Party & Supply Chain Security

Do we assess the security of external AI models, APIs, and vendors before adoption?

Ethics, Bias, & Transparency

Do we evaluate models for bias and explainability, and communicate risks transparently to stakeholders?

Continuous Improvement

Do we perform regular audits, red-team exercises, or benchmarking to continuously strengthen AI defenses?

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