LEVO Accessibility Conformance Report
Levo Accessibility Conformance Reports (ACRs) describe how the Levo.ai platform supports recognized international accessibility standards, including the Web Content Accessibility Guidelines (WCAG) 2.0, 2.1, 2.2, US Section 508, ETSI EN 301 549 and other applicable accessibility regulations.
More about ARCs
Product Information
Name of Product / Version: Levo.ai Platform v1.2.757
Report Date: December 17, 2025
Product Description:
Levo.ai is a runtime security platform that unifies API and AI security for modern, cloud-native applications. It provides deep visibility and proactive protection across the technology stack, enabling enterprises to innovate rapidly without compromising security.
Accessibility Policy Statement
Levo.ai is committed to providing an accessible user experience for all users, including individuals with disabilities. Levo’s policy is to remediate accessibility issues as soon as they are identified, particularly issues that represent failures of WCAG success criteria or that create barriers to accessing content or functionality.
Accessibility issues that do not result in blocked content are documented and addressed during regular maintenance cycles. Priority is given to issues that impact core workflows or essential user interactions.
Contact Information
For accessibility related questions or feedback, please contact: support@levo.ai
Notes on Evaluation Scope
- This application is a web based software platform accessed via modern web browsers.
- Testing was conducted using the latest versions of Chrome, Firefox, Safari, and Microsoft Edge.
- Interaction methods include keyboard and mouse input.
- No additional hardware is required. Users may access the platform with assistive technologies supported by modern browsers (for example, screen readers, screen magnifiers, or alternative input devices).
- Evaluation focuses on the frontend user experience only.
- The platform does not include audio only, video only, or multimedia content as part of its core user experience.
Evaluation Methods Used
Levo.ai follows an accessibility-by-design approach across its product lifecycle.
Evaluation methods include:
- Internal accessibility testing conducted annually using standardized accessibility checklists aligned with WCAG success criteria
- Keyboard-only navigation testing
- Screen reader compatibility checks during feature development
- Manual inspection of semantic structure, labels, focus order, and contrast
- Accessibility considerations during design and development of new UI components
- Ongoing review of customer and user feedback related to accessibility
Results in this report are assessed against WCAG 2.0, 2.1, and 2.2 Level A and Level AA success criteria. Where required, these results are also mapped to the applicable requirements of the US Revised Section 508 Standards and ETSI EN 301 549.
Any accessibility feedback received from customers is reviewed, evaluated, and incorporated into future product improvements where applicable.
Applicable Standards and Guidelines
Conformance Terminology
- Supports: The product meets the criterion without known accessibility barriers.
- Partially Supports: Some functionality does not fully meet the criterion.
- Does Not Support: Most functionality does not meet the criterion.
- Not Applicable: The criterion does not apply to the product.
- Not Evaluated: Used only for WCAG Level AAA criteria.
WCAG 2.2 Conformance Report
All success criteria are evaluated in accordance with WCAG 2.2 conformance requirements, including full pages, complete processes, and accessibility-supported technologies.
Table 1: Success Criteria – Level A
Table 2: Success Criteria – Level AA
Level AAA
Level AAA success criteria are outside the scope of this evaluation.
Understanding ACRs
Learn more about Accessibility Conformance Reports (ACRs), the accessibility standards Levo uses when developing the Levo.ai platform, and how conformance with standards is assessed.
What is an Accessibility Conformance Report?
Levo Accessibility Conformance Reports (ACRs) document the degree of conformance of the Levo.ai platform to recognized accessibility standards. Levo uses the Voluntary Product Accessibility Template (VPAT), a widely adopted template developed by the Information Technology Industry Council (ITI), to prepare most new reports. Any exceptions identified during evaluation are documented, and explanatory remarks are provided to describe the impact, scope, and remediation approach.
Which accessibility standards are used to assess products and services?
Levo assesses the Levo.ai platform using the accessibility standards below, as applicable based on product scope and customer requirements:
- Web Content Accessibility Guidelines (WCAG) are internationally adopted technical standards for making web content accessible. Each guideline includes testable success criteria. Levo assesses the platform against WCAG Level A and Level AA criteria. WCAG is developed and maintained by the World Wide Web Consortium (W3C), an international organization for the development of web standards.
- US Section 508 requirements support accessibility for individuals with disabilities in Information and Communication Technology (ICT) procured and used by US federal agencies. The Section 508 standards and guidance are maintained by the US Access Board and include scoping and technical requirements that help agencies develop, procure, maintain, and use accessible ICT.
- ETSI EN 301 549 is a European-developed accessibility standard for ICT products and services created by European Standards Organizations, including CEN, CENELEC, and ETSI. The standard incorporates WCAG requirements for web accessibility and is commonly used in public procurement across the European Union and in other jurisdictions.
How does Levo evaluate the accessibility of its products and services?
Levo evaluates accessibility through a combination of automated testing and manual review. Testing commonly includes keyboard-only navigation, focus visibility and order checks, semantic structure validation, labels and accessible-name review, color contrast verification, and testing with assistive technologies (for example, screen readers) where appropriate. Findings are documented in the ACR and prioritized for remediation based on user impact and severity.