Ravula AI

AI Security / Audit Trail Setup

Secure your AI systems with comprehensive logging, access control, and security testing. Build audit trails that meet compliance requirements and protect against threats.

  • Implement comprehensive logging and audit trails for all AI system interactions
  • Deploy access control and identity management for AI model access and data
  • Conduct red-team security testing to identify vulnerabilities before attackers do
  • Achieve audit readiness for SOC 2, ISO 27001, HIPAA, and other compliance frameworks

Who this is for

Organizations deploying AI in production that need security controls, audit trails, and compliance readiness. Critical for regulated industries (finance, healthcare, government) and any company handling sensitive data or facing audit requirements.

Typical titles:

  • • Chief Information Security Officer (CISO) / Security Director
  • • Head of AI / ML Engineering Lead
  • • IT Operations Manager / DevOps Lead
  • • Compliance Officer / Risk Manager
  • • CTO / VP Engineering (for security oversight)

Trigger phrases you might be saying

  • ""We need audit trails for our AI systems—auditors are asking questions"
  • ""Security concerns—we were breached and need to secure our AI deployments"
  • ""We can't track who's using our AI models or what data they're accessing"
  • ""Compliance requirements—SOC 2, ISO 27001, HIPAA mandate AI security controls"
  • ""We need to test our AI systems for vulnerabilities before attackers find them"
  • ""No visibility into AI system access—who's using what, when, and why"

Business outcomes

Threat Detection Time

80% faster

Mean time to detect security threats reduced from hours to minutes with comprehensive logging

Audit Readiness

100% compliant

Complete audit trails and security controls meet SOC 2, ISO 27001, HIPAA requirements

Security Incident Reduction

60-80% fewer

Proactive security testing and access controls prevent vulnerabilities from being exploited

Access Visibility

Complete transparency

Full audit logs of who accessed AI models, what data was used, and when—enabling compliance and forensics

What we deliver

  • Comprehensive Audit Trail System

    Logging infrastructure that captures all AI system interactions: model access, data usage, inference requests, and user actions. Immutable logs with tamper-proof storage for compliance

  • Access Control & Identity Management

    Role-based access control (RBAC) for AI models and data, integration with identity providers (Azure AD, Okta), and fine-grained permissions. Multi-factor authentication and session management

  • Security Testing & Red-Team Assessment

    Comprehensive security testing including prompt injection testing, model extraction attempts, data poisoning detection, and adversarial attack simulations. Vulnerability assessment report with remediation recommendations

  • Security Monitoring & Alerting

    Real-time monitoring for suspicious activities, unauthorized access attempts, and anomalous usage patterns. Configurable alerts (email, Slack, PagerDuty) for security events

  • Compliance Documentation & Policies

    Security policies, procedures, and documentation for audit readiness. Gap analysis against compliance frameworks (SOC 2, ISO 27001, HIPAA) and remediation roadmap

How it works

Step 1

Assess & Design

We conduct a security assessment of your AI systems, identify vulnerabilities, and review compliance requirements. We design security architecture including logging, access control, and monitoring strategies. We map current state and define security controls needed.

Step 2

Implement & Test

We deploy audit logging infrastructure, implement access controls, integrate with identity providers, and set up security monitoring. We conduct red-team security testing, perform vulnerability assessments, and validate that security controls work as designed.

Step 3

Document & Train

We create security policies and procedures, document audit trails and controls, and prepare compliance documentation. We train your team on security best practices, incident response procedures, and ongoing security operations. We establish governance for ongoing security management.

Timeline & effort

Duration

6-10 weeks

From security assessment through implementation, testing, and documentation

Your team's time

3-5 hours/week

Security team interviews, access control requirements, compliance review, and security testing participation

Timeline factors:

  • • Number of AI systems and models to secure (more systems = longer timeline)
  • • Compliance framework complexity (SOC 2 vs. HIPAA vs. multiple frameworks)
  • • Integration complexity with existing identity and security infrastructure

Pricing bands

$30,000 - $80,000

Project-based pricing for security setup, testing, and audit readiness. Higher-end pricing for complex multi-system deployments or multiple compliance frameworks.

Pricing factors:

  • • Number of AI systems and models to secure
  • • Compliance framework requirements (single vs. multiple frameworks)
  • • Complexity of access control and integration requirements
  • • Scope of security testing and red-team assessment

KPIs we move

Our AI security solutions directly impact cybersecurity and risk management metrics across your organization.

Security incident count (#/month)

Mean time to detect threats (MTTD)

Vulnerability patch rate (%)

Security audit findings (#)

Access control compliance (%)

Audit trail completeness (%)

Unauthorized access attempts (#)

Security training completion (%)

Incident response time (hours)

Compliance audit score (0-100)

Phishing test click rate (%)

Model access violations (#)

Tech stack & integrations

We use enterprise-grade security tools and integrate with your existing security infrastructure. Our approach is tool-agnostic—we select the best-fit solution for your environment.

Security & Logging Technologies

  • • Audit logging platforms (Splunk, Datadog, ELK stack, custom solutions)
  • • Identity & access management (Azure AD, Okta, AWS IAM, Keycloak)
  • • Security information and event management (SIEM) systems
  • • Secrets management (HashiCorp Vault, AWS Secrets Manager, Azure Key Vault)
  • • Security testing tools (OWASP, custom red-team frameworks)

Common Integrations

  • • AI/ML platforms (OpenAI, Anthropic, AWS Bedrock, Azure OpenAI)
  • • Model serving infrastructure (MLflow, Seldon, custom APIs)
  • • Data platforms (databases, data warehouses, data lakes)
  • • Existing security infrastructure (firewalls, IDS/IPS, SIEM)
  • • Compliance and governance tools (GRC platforms, audit systems)

Risks & safeguards

Security Gaps & Vulnerabilities

Risk: Undetected vulnerabilities in AI systems lead to data breaches, model theft, or adversarial attacks

Safeguard: We conduct comprehensive red-team security testing including prompt injection, model extraction, and adversarial attack simulations. We perform vulnerability assessments and penetration testing. We implement defense-in-depth with multiple security layers (access control, monitoring, encryption).

Compliance Failures & Audit Findings

Risk: Incomplete audit trails or missing security controls result in compliance violations and audit failures

Safeguard: We perform gap analysis against your compliance frameworks (SOC 2, ISO 27001, HIPAA) and ensure all required controls are implemented. We create comprehensive documentation and policies. We validate audit trail completeness and immutability. We provide compliance readiness reports.

Performance Impact & User Experience

Risk: Security controls (logging, access checks) slow down AI systems, impacting user experience and adoption

Safeguard: We design security infrastructure for minimal performance impact using asynchronous logging, efficient access control checks, and caching strategies. We load test to ensure security controls don't degrade system performance. We optimize for sub-100ms overhead on inference requests.

Caselets

FinTech Startup: SOC 2 Compliance

Challenge: FinTech startup using AI for fraud detection needed SOC 2 Type II certification for enterprise customers. Had no audit trails, access controls, or security documentation. Auditors flagged 15+ security gaps during initial assessment.

Solution: Implemented comprehensive audit logging for all AI model access and data usage. Deployed role-based access control integrated with Okta. Conducted security testing and vulnerability assessment. Created security policies and procedures. Built compliance documentation package.

Impact: Achieved SOC 2 Type II certification in 3 months. Zero audit findings on follow-up assessment. Enabled $2M+ in enterprise deals that required compliance. Reduced security incident response time by 75% through better logging and monitoring.

Healthcare Provider: HIPAA Compliance

Challenge: Healthcare system using AI for clinical decision support needed HIPAA-compliant audit trails. Had no visibility into who accessed patient data through AI systems. Faced potential HIPAA violations and regulatory penalties.

Solution: Implemented immutable audit logs capturing all AI system interactions with patient data. Deployed access controls with role-based permissions (physicians, nurses, administrators). Integrated with Epic EHR for identity management. Conducted security testing for data protection. Created HIPAA compliance documentation.

Impact: Achieved HIPAA compliance with complete audit trail coverage. Passed regulatory audit with zero findings. Reduced unauthorized access attempts by 90% through better access controls. Enabled secure AI deployment across 15+ clinical departments.

Frequently asked questions

How is this different from general IT security?

AI systems have unique security challenges: prompt injection attacks, model extraction, data poisoning, and adversarial examples. Traditional IT security doesn't address these AI-specific threats. We specialize in AI security—testing for prompt injection, securing model APIs, protecting training data, and ensuring AI-specific compliance requirements (like model explainability for audits).

What compliance frameworks do you support?

We support all major compliance frameworks: SOC 2 (Type I and Type II), ISO 27001, HIPAA, GDPR, PCI DSS, and industry-specific requirements (FINRA for finance, FDA for healthcare). We perform gap analysis against your specific requirements and implement controls to meet compliance. We also prepare documentation packages for audits.

How long do audit logs need to be retained?

Retention requirements vary by compliance framework and industry. SOC 2 typically requires 1-3 years, HIPAA requires 6 years, and some regulations require 7+ years. We design log storage with appropriate retention policies and ensure logs are immutable (tamper-proof) for compliance. We can also archive logs to cost-effective long-term storage.

What's included in red-team security testing?

Our red-team testing includes: prompt injection attacks (trying to manipulate AI behavior), model extraction attempts (trying to steal model weights), data poisoning detection (identifying malicious training data), adversarial example testing (finding inputs that fool the model), and access control testing (trying to bypass permissions). We provide a detailed vulnerability report with remediation recommendations.

Will security controls slow down our AI systems?

We design security infrastructure for minimal performance impact. We use asynchronous logging (non-blocking), efficient access control checks (cached permissions), and optimized monitoring. Typical overhead is less than 100ms per inference request. We load test to ensure security doesn't degrade user experience. If performance is critical, we can implement more aggressive optimizations.

Do you provide ongoing security monitoring?

Yes, we can provide ongoing security monitoring and incident response support. This typically includes 24/7 monitoring of security alerts, incident response procedures, regular security assessments, and compliance maintenance. Many clients start with project-only, then add ongoing monitoring once they see the value. We also offer managed security services for AI systems.

What if we're using third-party AI APIs (OpenAI, Anthropic)?

We secure the integration layer—logging all API calls, implementing access controls for who can use the APIs, monitoring for suspicious usage patterns, and ensuring data privacy (no sensitive data sent to third parties). We also help you understand the security posture of your AI vendors and implement vendor risk management. We can set up proxy layers that add security controls before requests reach third-party APIs.

Ready to secure your AI systems and achieve audit readiness?

Let's discuss your security requirements and explore how comprehensive audit trails and security controls can protect your AI deployments.

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Last updated: November 2025