Assess your organization's AI security posture across 8 critical domains
CISO's AI Security Readiness Assessment
This interactive assessment enables CISOs to evaluate their enterprise's AI security readiness by scoring key domains such as data governance, model integrity, and regulatory compliance. Results provide a prioritized view of strengths and gaps for targeted improvement.
Enterprise adoption of AI technologies introduces novel security challenges requiring dedicated governance and controls. This assessment targets CISOs and security leaders who need a structured understanding of their organization’s AI security posture.
By scoring readiness across eight key AI security domains, security teams can benchmark current maturity and identify priority gaps. The domains reflect major risk areas defined by frameworks such as NIST AI Risk Management and industry best practices.
Inputs
Rate the maturity of controls over AI training data sourcing, labeling, quality, and lineage.
Assess protections against adversarial manipulation, model drift, and poisoning attacks.
Evaluate enforcement of least privilege for AI model and data resource access.
Score readiness for detecting and mitigating AI-targeted security incidents.
Assess compliance with applicable AI regulations (e.g., EU AI Act, HIPAA, GDPR) and audit support.
Evaluate controls over AI vendor risk, open-source dependencies, and supply chain vulnerabilities.
Rate adoption of privacy-enhancing technologies and controls for sensitive data used in AI.
Evaluate security awareness and training programs focused on AI risks for relevant teams.
Result
parseInt(data-governance) + parseInt(model-integrity) + parseInt(access-control) + parseInt(incident-response) + parseInt(regulatory-compliance) + parseInt(third-party-risk) + parseInt(privacy-protections) + parseInt(training-awareness)Your AI Security Readiness Assessment Result
Consider focusing first on domains scoring below 2 to address critical gaps. Align remediation with applicable regulatory frameworks and threat intelligence.
Note
This assessment is based on established frameworks such as the NIST AI Risk Management Framework and aligns with requirements commonly found in regulations including the EU AI Act and HIPAA. Scores reflect self-assessed maturity levels and are intended for internal benchmarking purposes.
Subsequent sections unlock after submit