With Vanta recently unveiling the Vanta AI Agent, the spotlight turns to how it stands against 6clicks’ Hailey AI in terms of delivering smarter, faster compliance. Today we’ll be examining the policy and control mapping capabilities of both platforms to determine which one is better equipped to help organizations align with compliance requirements, pinpoint gaps, and achieve audit readiness more effectively. Let’s dive in:
How Hailey AI maps your policies and controls
Also called policy gap analysis, Hailey maps your internal controls to external compliance requirements (or ‘provisions’ in 6clicks terms) from frameworks such as ISO 27001, ISM, DORA, and more. Hailey then provides a percentage of similarity to help you identify how closely your controls match those requirements and whether there are any ‘gaps’ or provisions that don’t align with a control.
In a typical setting, control mapping usually takes weeks, but Hailey does this within seconds, enabling you to instantly gain a deeper understanding of your compliance status and promptly address areas of non-compliance. Plus, with 6clicks’ built-in Content Library, organizations can map their controls to thousands of standards and regulations, offering unmatched flexibility with no limits on framework support. With Hailey AI, you can easily assess control implementation against regulatory requirements, therefore streamlining audits and accelerating your path to compliance.
How Vanta handles policy mapping
On the other hand, Vanta’s AI Agent streamlines policy mapping by scanning uploaded policies and linking them to relevant controls within Vanta’s supported frameworks, such as SOC 2, ISO 27001, and HIPAA. When you add or update a policy, the agent analyzes its content and suggests which controls it should map to, giving you the option to accept or adjust those mappings directly in the platform.
This helps teams quickly understand where their policies align with established control sets, though it does not provide a similarity percentage or granular match scoring like Hailey AI. Instead, it focuses on speeding up initial mapping and reducing the manual effort of pairing policies with appropriate controls.
Which one does it better?
So how do these capabilities stack up side by side? The table below highlights the key differences between Hailey AI and Vanta’s AI Agent when it comes to policy and control mapping.
|
Hailey AI |
Vanta AI Agent |
Can map controls and policies directly to framework requirements |
✅ |
Limited to mapping policies to controls |
Can produce similarity scores to provide a high-level view of how many controls match specific framework requirements |
✅ |
❌ |
Can identify gaps between implemented controls and compliance requirements |
✅ |
Limited to surfacing inconsistencies within policies |
Can map controls to unlimited standards, regulations, and compliance frameworks |
✅ |
Limited to Vanta’s supported frameworks |
Overall, Hailey AI offers a more advanced and flexible approach to compliance by mapping both policies and controls directly to framework requirements, providing similarity scoring, and uncovering compliance gaps across unlimited standards and regulations. In contrast, Vanta’s AI Agent focuses mainly on mapping policies to controls within its own supported frameworks and lacks the deeper analysis and coverage that Hailey delivers.
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Written by Anthony Stevens
Ant Stevens is a luminary in the enterprise software industry, renowned as the CEO and Founder of 6clicks, where he spearheads the integration of artificial intelligence into their cybersecurity, risk and compliance platform. Ant has been instrumental developing software to support advisor and MSPs. Away from the complexities of cybersecurity and AI, Ant revels in the simplicity of nature. An avid camper, he cherishes time spent in the great outdoors with his family and beloved dog, Jack, exploring serene landscapes and disconnecting from the digital tether.