9 Best AI Gateways with Audit Logging for Compliance

A comparison of the top AI gateways with the audit logging capabilities required for SOC 2, HIPAA, and GDPR compliance. For enterprises in regulated industries, Bifrost provides the most comprehensive and performant solution.

As enterprises deploy AI applications in production, the AI gateway has become a critical layer of infrastructure. It centralizes routing, enforces security policies, and provides observability into cost and performance. For organizations in regulated industries like healthcare, finance, and the public sector, one capability stands out as non-negotiable: the audit log. A robust, immutable audit trail is essential for meeting compliance standards such as SOC 2, HIPAA, and GDPR.

An AI gateway's audit log provides a verifiable record of every request, capturing who made the call, which model was invoked, what data was processed, and the resulting outcome. This traceability is a cornerstone of compliance, enabling security reviews, incident investigations, and satisfying auditor requests. This article compares nine of the best AI gateways on the market, with a specific focus on their audit logging features and suitability for enterprise compliance.

How to Evaluate AI Gateways for Compliance

When selecting an AI gateway for a regulated environment, the evaluation criteria extend beyond basic performance and model support. Key compliance-focused capabilities include:

• Immutability and Tamper Evidence: Logs must be stored in a way that prevents modification or deletion. Techniques like hash-chaining can provide architectural immutability.
• Granularity: The log must capture sufficient detail, including user identity, timestamps, source IP, the virtual key or credential used, the full request path, and the response status.
• Attribution: It should be possible to trace every action back to a specific user or service account, a common gap in many AI deployments.
• Export and Integration: The ability to export logs to a Security Information and Event Management (SIEM) system or a long-term, write-once storage bucket is crucial for retention and analysis.
• Deployment Control: For sensitive data, the ability to deploy the gateway within a VPC, on-premises, or in an air-gapped environment is often a requirement.

The Top 9 AI Gateways for Audit & Compliance in 2026

This ranking assesses each gateway based on its audit logging features, enterprise security capabilities, and overall fitness for compliance-driven organizations.

1. Bifrost

Bifrost is an open-source AI gateway from Maxim AI, engineered for high-performance and enterprise-grade governance. It is designed to meet the stringent requirements of regulated industries.

Best for: Enterprise teams in regulated industries (healthcare, finance) that require a self-hosted, high-performance gateway with audit-grade logging for SOC 2, HIPAA, and GDPR compliance.

Audit Logging & Compliance Features:
Bifrost Enterprise treats audit logs as a primary feature, designed to provide the evidence trail required by auditors.

• Immutable Audit Trails: Bifrost generates immutable, timestamped audit trails for every API call and configuration change, making it suitable for SOC 2, HIPAA, GDPR, and ISO 27001 evidence requirements.
• Granular Event Logging: It captures detailed event data, including the authorizing identity (via virtual keys), the tool or model invoked, and the parent request, creating a unified trace of agent activity.
• SIEM and Data Lake Export: Logs are designed for export to external systems like SIEMs (e.g., Splunk, Datadog) or data lakes (S3, BigQuery), allowing for long-term retention and analysis.
• Deployment Control: Bifrost supports full in-VPC, on-premises, and air-gapped deployments, ensuring that no data leaves the organization's network boundary, a key requirement for HIPAA and other data residency rules.
• Performance: Published benchmarks show that Bifrost adds only 11 microseconds of overhead at 5,000 requests per second, ensuring that compliance logging does not become a performance bottleneck.

2. LiteLLM

LiteLLM is a popular open-source proxy that provides a unified interface to over 100 LLM providers. Its enterprise tier adds the necessary governance features for compliance.

Best for: Platform teams that need a flexible, self-hosted, open-source solution and are able to upgrade to an enterprise license for essential compliance features.

Audit Logging & Compliance Features:
While the open-source version provides basic request logging, true audit logging is an enterprise feature.

• Enterprise Audit Logs: The enterprise license enables audit logs that track administrative actions and changes to entities like keys, teams, and models, including who performed the action and when.
• Log Export: Audit logs can be exported to external storage like S3, with options to use a separate, more secure bucket for compliance records.
• Retention Policies: The enterprise version allows for the configuration of retention policies for audit logs.
• Self-Hosted Control: As a self-hosted solution, teams retain full control over the infrastructure and log storage, but are also responsible for securing it to meet compliance standards.

3. Kong AI Gateway

The Kong AI Gateway extends the widely-used Kong API Gateway with AI-specific capabilities. It's a strong choice for enterprises already invested in the Kong ecosystem.

Best for: Large enterprises that already use Kong for API management and want to apply consistent governance and security policies to their AI traffic.

Audit Logging & Compliance Features:
Kong's audit capabilities are part of its enterprise offering, providing deep integration with its existing API management platform.

• Enterprise Audit Log Plugin: Kong Gateway Enterprise includes a powerful audit log feature that records all administrative actions and API requests. This is a separate and more comprehensive feature than standard request logging.
• Standardized Format: The gateway provides a standardized JSON format for AI plugin logs, simplifying the aggregation and analysis of usage data.
• SIEM Integration: Audit logs can be integrated with external systems like AWS CloudTrail Lake via Lambda functions, feeding compliance data into a central security hub.
• RBAC Integration: Log entries include RBAC context, showing which user or role performed an action, which is critical for compliance attribution.

4. Cloudflare AI Gateway

Cloudflare AI Gateway is a managed service that leverages Cloudflare's global network to provide caching, analytics, and logging for AI applications.

Best for: Teams that prioritize ease of use, global performance, and a managed solution, particularly those already using the Cloudflare ecosystem.

Audit Logging & Compliance Features:
Cloudflare provides robust logging capabilities as a core part of its platform, with specific features for AI Gateway.

• Default Audit Logs: Audit logs summarizing changes to gateway configurations are enabled by default for all Cloudflare plans.
• Detailed Request Logging: The gateway dashboard provides detailed logs of individual requests, including prompts, responses, tokens, and cost. This can be disabled for privacy and compliance.
• Log Export: Logs can be securely exported to external storage via Cloudflare Logpush, supporting compliance and long-term retention requirements. Encrypted log export is also available.
• Compliance Support: Cloudflare's platform maintains numerous compliance certifications, and features like its DLP integration help support GDPR, HIPAA, and PCI DSS requirements.

5. IBM AI Gateway

Part of the IBM API Connect platform, the IBM AI Gateway is designed for enterprises seeking to apply strong governance and compliance controls to their AI services.

Best for: Large enterprises, particularly those in finance and other regulated sectors, that require a comprehensive, governance-focused solution integrated with a broader API management suite.

Audit Logging & Compliance Features:
IBM emphasizes centralized governance and audit trails as a core benefit of its gateway.

• Centralized Audit Trails: The gateway funnels all LLM API traffic through a single point of control, enabling the creation of comprehensive audit trails for compliance.
• Detailed Logging: It captures extensive logs for every AI request and response, which is crucial for debugging, auditing AI decisions, and post-incident analysis.
• Policy Enforcement: Auditability is tied directly to the enforcement of other policies like data masking and role-based access control.

6. SS&C Blue Prism AI Gateway

The SS&C Blue Prism AI Gateway is a governance-first platform built specifically for enterprises in regulated industries that need to ensure control and auditability.

Best for: Large, compliance-focused organizations that need a managed, enterprise-scale platform with built-in guardrails and non-repudiable audit trails.

Audit Logging & Compliance Features:
The platform is explicitly "compliant by design," with audit trails as a key feature.

• Non-Repudiable Audit Trails: The gateway is designed to provide strong, verifiable audit logs to prevent data exposure and prove model access history.
• Built-in Compliance: The gateway includes built-in guardrails, audit trails, and role-based access controls to support compliance with frameworks like SOC 2, HIPAA, and GDPR.
• Full Metadata Logging: It captures full metadata for every AI interaction, ensuring that audit records are complete and useful for regulatory reviews.

7. KrakenD

KrakenD is a high-performance, open-source API gateway that has extended its capabilities to handle AI workloads.

Best for: Teams that require a high-performance, stateless, open-source gateway and have the expertise to configure its flexible logging components for compliance purposes.

Audit Logging & Compliance Features:
KrakenD provides a flexible telemetry system that can be configured for detailed logging.

• Access and Application Logs: The gateway separates access logs (user activity) from application logs (system events), allowing for distinct configuration.
• Syslog and Stdout: Logs can be written to standard output or sent to a local or remote Syslog server, which can then feed into a SIEM.
• ELK Stack Integration: KrakenD offers documented integration with the ELK stack (Elasticsearch, Logstash, Kibana) for centralized log analysis and dashboarding.

8. HAProxy

HAProxy is one of the world's most widely used software load balancers, and it now offers AI gateway capabilities as part of the HAProxy One platform.

Best for: Organizations already leveraging HAProxy for load balancing and security that want to extend the same performant, battle-tested infrastructure to their AI workloads.

Audit Logging & Compliance Features:
HAProxy provides extremely detailed logs that are foundational for observability and compliance.

• Detailed Connection and Request Logging: HAProxy logs a wealth of information about traffic, including timing data, connection counters, headers, and status codes, with millisecond accuracy.
• Syslog Export: It natively integrates with Syslog servers, allowing logs to be forwarded to centralized logging platforms for analysis and retention.
• Centralized Observability: When used with the HAProxy Fusion Control Plane, it offers centralized visibility into over 150 metrics specific to performance, security, and AI queries.

9. AWS API Gateway (with Lambda)

While not a dedicated AI gateway product, AWS API Gateway is a common choice for teams building their own serverless AI control plane on AWS. When combined with AWS Lambda for logic and CloudWatch for logging, it can form a compliant solution.

Best for: Teams with deep AWS expertise that prefer to build a custom, serverless AI gateway using managed AWS services.

Audit Logging & Compliance Features:
The compliance capabilities come from integrating several AWS services.

• CloudWatch Logs: API Gateway access logs can be sent to Amazon CloudWatch Logs, providing a centralized and durable log repository.
• Detailed Access Logging: Custom access logging can be configured to capture granular details for each request, which is essential for audit purposes.
• Lambda for Logic: A Lambda function behind the API Gateway can enforce business logic, enrich log data, and ensure that all necessary information is captured before invoking a model via services like Amazon Bedrock.

Conclusion: Choosing the Right Gateway for Compliance

For organizations where compliance is a primary concern, an AI gateway is not just a tool for routing and cost control; it is a critical component of the governance, risk, and compliance (GRC) strategy. The choice depends on balancing the need for deep, audit-grade logging with factors like performance, deployment model, and existing infrastructure.

While many gateways offer logging, solutions like Bifrost stand out by treating immutable audit trails and enterprise security as core design principles, rather than add-ons. Its combination of high performance, self-hosted control, and features explicitly built for SOC 2 and HIPAA evidence makes it a leading choice for teams building the next generation of compliant AI applications.

Sources

• HIPAA, GDPR, and SOX Don't Have an AI Exemption - Kiteworks
• AI Governance Audit Trail: Immutable Ledger for HIPAA & DORA - The BrightByte
• SOC 2 vs HIPAA: Key Compliance Differences - ISMS.online
• Bifrost Enterprise Documentation - Audit Logs - Maxim AI
• LiteLLM Documentation - Audit Logs - LiteLLM