IT/Tech Policy Compliance

IT/Tech policy compliance testing evaluates AI systems' adherence to enterprise technology platform policies and industry standards. VirtueRed tests 20 compliance areas across 2 major enterprise platform frameworks—Salesforce and ServiceNow—ensuring AI systems respect platform-specific rules and enterprise governance requirements.

Overview

Enterprise technology platforms operate under stringent policy frameworks designed to protect business data, maintain platform integrity, and ensure responsible AI deployment. AI systems integrated with enterprise platforms must navigate these policies while providing effective business support and maintaining security standards.

Compliance Dimension	Description	Impact
Acceptable Use	Platform usage rules and restrictions	Account termination, legal action
Data Protection	Enterprise data handling requirements	Security breaches, compliance failures
AI Ethics	Responsible AI development standards	Trust erosion, regulatory scrutiny
Security Standards	Technical security requirements	Vulnerabilities, data breaches
Professional Conduct	Business communication standards	Reputation damage, relationship harm

Salesforce Policy Compliance

Testing AI adherence to Salesforce's Acceptable Use and External-Facing Services Policy across 12 compliance areas.

Acceptable Use Compliance

Risk Scenario	Description
Terms of service violations	Actions prohibited by platform agreements
Usage limit circumvention	Bypassing API or feature restrictions
License scope violations	Using features beyond license entitlements
Prohibited activity facilitation	Supporting banned platform uses

Accessibility & Inclusion

Risk Scenario	Description
WCAG non-compliance	Failing web accessibility standards
Assistive technology obstruction	Blocking screen readers or accessibility tools
Inclusive design failures	Not accommodating diverse user needs
Accessibility feature bypasses	Circumventing accessibility accommodations

Account Integrity & Security

Risk Scenario	Description
Credential compromise facilitation	Exposing or sharing login information
Multi-factor authentication bypass	Circumventing security measures
Session hijacking assistance	Helping unauthorized session access
Privilege escalation guidance	Helping gain unauthorized permissions

AI Ethics & Responsible AI Development

Risk Scenario	Description
Trusted AI principle violations	Contradicting Salesforce AI ethics
Biased AI output generation	Producing discriminatory results
AI transparency failures	Lack of clarity in AI decision-making
Accountability evasion	Avoiding responsibility for AI actions

Key Trusted AI Principles:

• Accuracy and reliability in AI outputs
• Honesty and transparency about AI capabilities
• Empowerment of human oversight
• Sustainability and responsible resource use
• Inclusivity and accessibility for all users

Content Ownership & User Submissions

Risk Scenario	Description
Data ownership violations	Claiming ownership of user data
Unauthorized data modification	Altering user content without permission
Data portability obstruction	Blocking data export capabilities
Content attribution failures	Not properly crediting content sources

Harmful, Offensive, or Disruptive Conduct

Risk Scenario	Description
Harassment facilitation	Enabling hostile workplace behavior
Offensive content generation	Producing inappropriate business content
Platform disruption	Interfering with normal platform operation
Abuse pattern enablement	Supporting repeat policy violations

Legal Compliance & Rights Protection

Risk Scenario	Description
Regulatory violation guidance	Advising on circumventing regulations
Intellectual property infringement	Violating patents, copyrights, trademarks
Contractual breach facilitation	Helping violate legal agreements
Export control violations	Ignoring international trade restrictions

Liability & Professional Advice

Risk Scenario	Description
Unauthorized legal advice	Providing legal guidance without qualification
Financial advice violations	Offering regulated financial guidance
Professional liability exposure	Creating unwarranted legal exposure
Disclaimer circumvention	Bypassing limitation of liability protections

Privacy & Personal Data

Risk Scenario	Description
GDPR non-compliance	Violating EU data protection rules
CCPA violations	Failing California privacy requirements
Cross-border transfer violations	Improper international data movement
Data minimization failures	Collecting more data than necessary

Salesforce Intellectual Property

Risk Scenario	Description
Trademark misuse	Improper use of Salesforce brands
Proprietary technology exposure	Revealing platform internals
API reverse engineering	Attempting to decode proprietary systems
Competitive intelligence extraction	Extracting confidential business information

Third-Party Services & External Links

Risk Scenario	Description
Insecure integration guidance	Recommending vulnerable third-party connections
Unauthorized API usage	Connecting to non-approved services
Data leakage through integrations	Exposing data via third-party tools
Malicious link distribution	Sharing harmful external URLs

Use of Salesforce Site Content

Risk Scenario	Description
Content licensing violations	Using content beyond license terms
Documentation misrepresentation	Incorrectly citing official documentation
Training material misuse	Inappropriate use of educational content
Marketing asset violations	Misusing promotional materials

ServiceNow Policy Compliance

Testing AI adherence to ServiceNow's Acceptable Use Policy across 8 compliance areas.

Harassment, Hate & Offensive Content

Risk Scenario	Description
Workplace harassment facilitation	Enabling hostile work environment
Discriminatory content generation	Producing biased or prejudiced content
Hate speech distribution	Sharing content attacking protected groups
Bullying behavior support	Enabling intimidation or targeting

Impersonation & Identity Fraud

Risk Scenario	Description
False identity claims	Pretending to be other users or entities
Authority impersonation	Falsely claiming administrative privileges
Social engineering facilitation	Helping deceive users about identity
Credential theft assistance	Supporting unauthorized identity acquisition

Intellectual Property Protection

Risk Scenario	Description
Patent infringement	Violating patented technologies
Copyright violations	Using protected content without rights
Trade secret exposure	Revealing confidential business methods
Proprietary code theft	Extracting protected software code

Legal & Regulatory Compliance

Risk Scenario	Description
Enterprise compliance violations	Breaking industry-specific regulations
Audit trail manipulation	Altering compliance documentation
Regulatory reporting failures	Not meeting mandatory reporting requirements
Governance bypass guidance	Helping circumvent corporate governance

Platform Security & Unauthorized Access

Risk Scenario	Description
Security control bypass	Circumventing platform security measures
Vulnerability exploitation	Taking advantage of security weaknesses
Unauthorized access facilitation	Helping gain improper system access
Security logging evasion	Avoiding security audit trails

Privacy & Personal Data Protection

Risk Scenario	Description
Global privacy standard violations	Failing international privacy requirements
Employee data mishandling	Improper processing of worker information
Customer data exposure	Revealing client confidential information
Consent management failures	Not respecting user privacy choices

ServiceNow Data-Handling Commitments

Risk Scenario	Description
Data classification violations	Ignoring data sensitivity levels
Retention policy breaches	Not following data retention requirements
Data destruction failures	Improper disposal of sensitive data
Cross-instance data sharing	Unauthorized data movement between instances

Unauthorized Commercial Activity

Risk Scenario	Description
License violation facilitation	Helping breach software licenses
Unauthorized reselling	Supporting improper license resale
Commercial use restrictions	Violating non-commercial use terms
Sublicensing violations	Improper sub-licensing of platform access

Testing Methodology

Policy Alignment Testing

Evaluating consistency with enterprise platform policies:

1. Terms understanding - Does AI correctly interpret platform policies?
2. Policy guidance accuracy - Does AI provide correct compliance information?
3. Violation identification - Can AI recognize policy violations?
4. Best practice recommendations - Does AI guide toward compliant behavior?

Enterprise Security Testing

Attempting to identify security vulnerabilities:

1. Access control testing - Verifying proper permission enforcement
2. Data protection validation - Ensuring sensitive data handling
3. Integration security - Testing third-party connection safety
4. Audit trail integrity - Verifying logging and monitoring

AI Ethics Compliance Testing

Evaluating responsible AI practices:

1. Bias detection - Identifying discriminatory outputs
2. Transparency assessment - Evaluating explainability
3. Accountability verification - Ensuring proper oversight
4. Fairness evaluation - Testing equitable treatment

Professional Conduct Testing

Evaluating business communication standards:

1. Appropriate tone - Professional and respectful communication
2. Accurate information - Truthful and verified responses
3. Boundary respect - Not exceeding professional scope
4. Confidentiality maintenance - Protecting sensitive information

Regulatory Alignment

IT/Tech policy compliance testing supports adherence to:

Regulation	Requirements
SOC 2	Security, availability, processing integrity
ISO 27001	Information security management
GDPR	European data protection
CCPA/CPRA	California privacy requirements
HIPAA	Healthcare data protection
PCI DSS	Payment card data security

Enterprise Integration Considerations

Multi-Cloud Environments

Consideration	Description
Cross-platform consistency	Maintaining policy compliance across clouds
Data residency requirements	Respecting geographic data restrictions
Integration security	Secure connections between platforms
Unified governance	Consistent policy enforcement

DevOps and CI/CD Pipelines

Consideration	Description
Code security scanning	Automated vulnerability detection
Secret management	Proper handling of credentials
Deployment compliance	Policy-compliant release processes
Environment isolation	Proper separation of dev/test/prod

See Also

• Retail Policy Compliance - E-commerce platform policies
• OWASP LLM Top 10 - AI security vulnerabilities
• Privacy - Privacy risk assessment
• GDPR - Data protection requirements