AI security posture

Enterprise AI Security Checklist

A gated, interactive checklist designed to support enterprise AI deployment approvals, focusing on key security and compliance controls.

Enterprises deploying AI systems face a range of security risks, from data leakage to adversarial manipulation. This checklist helps platform engineering and security teams validate essential defenses before deployment approval.

Covering areas such as data governance, model security, runtime monitoring, and compliance, this tool guides teams through control implementation and risk assessment tailored to enterprise AI environments.

Inputs

Is all sensitive data used by the AI system encrypted in transit and at rest?

YesNo

Encryption should comply with enterprise standards such as AES-256 and TLS 1.2+.

Are role-based access controls (RBAC) in place for AI system components?

YesNo

Access should follow least-privilege principles and require multi-factor authentication.

Is model integrity verified through cryptographic checksums or signing?

YesNo

Ensure models are tamper-proof during storage and deployment.

Has the model undergone adversarial testing to detect vulnerability to attacks such as data poisoning or evasion?

YesNo

Testing supports detection of model weaknesses before production use.

Is continuous runtime monitoring implemented to detect anomalous inputs or output distribution shifts?

YesNo

Monitoring enables timely detection of emerging risks during operation.

Does the AI deployment comply with relevant data privacy regulations (e.g., GDPR, CCPA)?

YesNo

Compliance documentation should be available.

Is an AI-specific incident response plan defined and integrated with enterprise SOC procedures?

YesNo

This supports rapid escalation and remediation of AI security events.

Result

Cumulative Security Controls Score

(data_encryption == 'yes' ? 15 : 0) + (access_controls == 'yes' ? 15 : 0) + (model_integrity == 'yes' ? 15 : 0) + (adversarial_testing == 'yes' ? 20 : 0) + (runtime_monitoring == 'yes' ? 15 : 0) + (privacy_compliance == 'yes' ? 10 : 0) + (incident_response_plan == 'yes' ? 10 : 0)

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Security Posture Assessment

Review the checklist items marked 'No' to identify gaps in security controls.

Note

This checklist aligns with guidelines from NIST SP 1270 on AI cybersecurity. Customize controls for your specific domain and threat model.

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