In 2026, using spreadsheets for managing compliance with laws regarding artificial intelligence (AI) will not only be inefficient but also dangerous. As laws governing the use of AI continue to evolve rapidly in the U.S., more and more businesses are being required to adopt enforced accountability measures. More regulatory entities, especially the U.S. Securities and Exchange Commission (SEC), are increasing their scrutiny of AI-related matters, including transparency and disclosure requirements, as well as risk reporting, forcing businesses to comply with regulations affecting the use of AIs.
In addition, regulatory frameworks, such as the National Institute of Standards and Technology’s (NIST) Artificial Intelligence Risk Management Framework (AI RMF 1.0), are becoming the accepted standard for implementing responsible AI governance. These frameworks include guidelines based on four key components Governance (G), Mapping (M), Measurement (M), and Management (M) that require businesses to continually monitor and document their use of AI systems.
Businesses will have difficulty meeting compliance standards due to manual processes, such as manually tracking instances of “Shadow AI” across different functional areas of a business and manually mapping datasets to multiple compliance requirements; thus, making it an impossible challenge without automated solutions.
This is where tools designed to manage AI compliance come into play. Companies such as Vanta, Drata, and Secureframe are changing how U.S. companies approach governance. By automating the audit workflow, integrating with cloud-based systems, and providing near-real-time visibility into compliance, these companies will change how businesses manage compliance from a reactive to a proactive approach.
How to Choose an AI Compliance Platform (2026)
Prior to making any comparisons between platforms, it is important to understand what is actually important in 2026. There are multiple types of compliance platforms available; not all are required for AI-specific compliance or risks.
1) NIST AI RMF Mapping
An effective platform should directly align with the NIST AI RMF and provide automated mapping that averages across the four primary functions of the AI RMF: Govern, Map, Measure, and Manage.
2) Shadow AI Detection
An increasing risk is employees using unapproved AI applications, which expose sensitive data and use AI safely outside their company. The most approved platforms provide the capacity to log usage and directory.
3) Real-Time Monitoring and Audit-Ready
Regulators expect ongoing compliance, and annual auditing is no longer adequate. A compliant platform will include real-time dashboards and automate the collection of evidence.
4) API Integration
To be considered compliant, all modern platforms must have robust API integrations with cloud service providers, HRIS systems, version control systems, and data pipeline systems.
5) Compliance Reporting
There is increasing scrutiny from organizations such as the Federal Trade Commission, and the terminology used in compliance reporting must produce easy-to-use, exportable reports that clearly show compliance efforts.
Vanta vs Drata vs Secureframe: 2026 Comparison
1. Vanta
Vanta is a leader in automating compliance, especially for startups and mid-size businesses.
Top features:
- Automation for SOC 2, ISO 27001, and AI Governance Workflows
- Deep Cloud Platform Integrations such as AWS, GitHub, and Google Workspace
- User-Friendly Dashboards For Real-Time Tracking of Your Compliance
AI Capabilities (2026):
Vanta’s recent investment in AI includes NIST AI RMF mapping and risk documentation. One of Vanta’s key value propositions is its ability to prepare companies for audit in less time, which will help rapidly growing businesses.
Limitations:
- Less Customization Options for Enterprise Organizations
- More Limited AI Risk Modeling Capabilities Compared to Competitors
2. Drata
Drata is known for its continuous compliance and enterprise-class functionality.
Top features:
- Real-Time Control Monitoring
- Advanced Automation for Evidence Collection
- Strong Audit Workflow Reporting
AI Capabilities (2026):
Drata has made a significant investment in AI governance functionality through risk-scoring models and automated control mappings aligned with the NIST frameworks, enabling improved insight into overall system-level risks.
Limitations:
- More Time Required to Learn to Use Than Competitors
- High Cost For Small Teams Compared To Competitors
3. Secureframe
Secureframe is a flexible, scalable, and customizable compliance solution.
Strengths:
- Wide variety of compliance frameworks supported
- Intelligent vendor management tools for managing third-party vendor risk
- Ability to customize workflows
AI Capabilities (2026):
Secureframe is a leader in detecting “shadow AI” and assessing vendor risk, and provides businesses with the ability to track where shadow AI is being used across their entire ecosystem of AI solutions and how those tools interact with sensitive data.
Limitations:
- Complex interface
- Somewhat less intuitive/streamlined onboarding process.
| Feature | Vanta | Drata | Secureframe |
| NIST AI RMF Mapping | Yes | Advanced | Yes |
| Shadow AI Detection | Basic | Moderate | Advanced |
| API Integrations | Extensive | Extensive | Extensive |
| Ease of Use | High | Medium | Medium |
| Enterprise Scalability | Medium | High | High |
| Pricing (2026) | $$ | $$$ | $$$ |
Why It Is Important Now
The regulatory environment is rapidly changing, requiring greater disclosures and transparency from public companies regarding technology-related risks, such as AI-based systems. The U.S. Securities and Exchange Commission’s current guidance suggests these disclosures must be made through regulated filings to provide security holders with complete and accurate information. Along the same lines, the National Institute of Standards and Technology’s ongoing updates to its AI security guidance reinforce this need by promoting the adoption of structured risk management practices for organizations that rely on AI.
Two industry leaders, Vanta and Drata, assert that automation is no longer a choice but a necessity for businesses to remain competitive in today’s marketplace. Their resources support continuous monitoring to reduce audit fatigue and accelerate compliance preparation.
Conclusion
Select Vanta if you are a startup or a small- to mid-sized company looking for a simple, efficient solution. Select Drata if you need more automated processes with enterprise-grade capabilities, or greater insight into your company’s AI-related compliance risk than Vanta provides. Also, select Secureframe only if you require stronger risk detection and management of third-party vendors than either of these two products offers.
Ultimately, your selection of the best automated compliance solution will depend on your company’s size, the level of risk you are currently exposed to, and the regulatory obligations your company faces. However, as we approach 2026, the only certainty is that manual compliance will no longer be a viable option under any circumstances.
Source-Newsroom
