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Security report for hegel-ai.com

Hegel AI · Technology · N/a

Medium risk. 8 critical or high findings in Security headers, GDPR outside view and 1 other check.

Security score

65/100

Risk levelMedium

0–100, higher is better. How it is calculated

Hegel AI is a technology startup focused on building an open-source developer platform for large language model (LLM) applications. Their offerings include an open-source SDK called PromptTools and an online playground, enabling developers and researchers to experiment, monitor, and improve generative AI systems. The company is backed by notable investors such as Y Combinator, positioning it well in the AI developer tools market. Technically, the website is built using Framer and hosted likely on AWS infrastructure, with a moderate performance and basic mobile optimization. Security posture is adequate with HTTPS and domain protection flags, but lacks advanced security headers and published security policies. Privacy compliance is weak due to absence of privacy and cookie policies. Overall, the site is professional and trustworthy but could improve in privacy and security transparency.

Scanned

NIS2 and GDPR posture

GDPR outside view
35/ 100 · High
Checks completed
7of 7

NIS2 Art. 21(2)

  1. (a) Risk analysis and security policies: Not visible from outside
  2. (b) Incident handling: One indicator
  3. (c) Business continuity, backups and crisis management: Not visible from outside
  4. (d) Supply chain security: Not visible from outside
  5. (e) Secure acquisition, development and maintenance, including vulnerability handling: Partly checked
  6. (f) Assessing the effectiveness of security measures: Not visible from outside
  7. (g) Cyber hygiene and security training: Not visible from outside
  8. (h) Cryptography and encryption: Partly checked
  9. (i) HR security, access control and asset management: One indicator
  10. (j) Multi-factor authentication and secured communications: Not visible from outside

This scan rated NIS2 with an earlier keyword method that is no longer shown; rescan for the per-article view. Risk management, continuity, supply chain, training, MFA, management oversight (Art. 20) and incident reporting (Art. 23) need internal evidence, and Guard cannot tell whether NIS2 applies to this organisation.

GDPR is indicative only, based on publicly visible signals: Articles 7, 12, 13 and 32 of Regulation (EU) 2016/679 and Article 5(3) of the ePrivacy Directive. Not a certification or legal assessment.

Priority findings

8 findings rated critical or high. Fix these first.

  1. Security headers

    Security headers are instructions your web server sends to every visitor’s browser. Missing ones leave visitors more exposed to attacks such as clickjacking and injected scripts.

    • High

      Missing X-Frame-Options header

      Prevents clickjacking attacks

      What to do: Add "X-Frame-Options: DENY" or "X-Frame-Options: SAMEORIGIN"

    • High

      Missing Content-Security-Policy header

      Controls resources the browser is allowed to load

      What to do: Implement a Content-Security-Policy appropriate for your application

      • ASVS V3.4.3
      • OWASP Secure Headers: OWASP Secure Headers Project recommends Content-Security-Policy: default-src 'self'; form-action 'self'; base-uri 'self'; object-src 'none';…

  2. GDPR outside view

    These are the privacy signals visitors and data protection authorities look for under GDPR.

    • High

      No Privacy Policy found

      GDPR requires a clear and accessible privacy policy

      What to do: Add a comprehensive privacy policy page and link to it prominently

    • High

      No Cookie Policy found

      GDPR requires clear information about cookie usage

      What to do: Add a dedicated cookie policy explaining cookie usage and purposes

    • High

      No Cookie Consent Banner found

      GDPR requires explicit consent for non-essential cookies

      What to do: Implement a cookie consent banner that appears on first visit

Need hands-on remediation? Email guard@offseq.com

Keep watching hegel-ai.com

This scan found 22 issues across 6 checks. Monitoring re-runs those checks daily, emails you when something material changes and records each fix, so you can show progress.

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  • TLS certificates and expiry
  • DNS records
  • SPF, DKIM and DMARC
  • Security headers
  • GDPR and NIS2 posture
  • Exposed services
  • Third-party trackers
  • Security score drift

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Results by check

Each check with its score, findings and the evidence it collected.

How this score is calculated

The security score runs 0–100, higher is better. It is the plain average of the security checks that completed in this scan, each counted equally. A check that could not run is left out: it counts neither as a pass nor as a fail.

Counted in this score

SSL/TLS
57
Security headers
40
Email security
85
DNS health
75
Network security
100
GDPR outside view
35
Average
65

Not counted

  • NIS2 outside view: Re-weights evidence from the TLS, email, DNS, network and hygiene checks, so counting it would count that evidence twice. Shown on its own.
  • OffSeq Observations: An AI reading of the site, useful context but not reproducible evidence. Shown on its own.

Findings that cap the score at 49

Each of these is serious on its own, so while any is present the site cannot rate better than high risk, however good the other checks are.

  • The certificate is not trusted by browsers
  • The website is not served over HTTPS
  • A database, remote desktop, file-sharing or Telnet service is reachable from the internet
  • The page loads a script from a compromised source
  • The domain registration has expired
  • SPF authorises every server to send mail as the domain

Partial scans

When the site blocks Guard or most checks cannot run, the score covers only the checks that ran (usually DNS and email), is capped at 75 and is shown as partial, without a risk level.

Risk levels

  • Critical0–25
  • High26–49
  • Medium50–75
  • Low76–100

Technical appendix

Business context, site observations and technical notes gathered during the scan, and the standards behind each reference.

Business context

Business profile

Hegel AI targets developers, researchers, and startups working with LLMs, offering tools to build, evaluate, and monitor AI applications. Their open-source approach and integration with popular LLM providers and vector databases provide competitive advantages. Revenue likely derives from SaaS offerings, private beta access, and enterprise demos. The company maintains a lean profile with no disclosed subsidiaries or parent company. Partnerships include Y Combinator backing and GitHub community engagement. Growth indicators include active GitHub repositories and demo booking via Calendly. Strategic observations suggest focusing on expanding privacy compliance and security policies to enhance market trust.

Security posture

The website enforces HTTPS and domain registration protections, indicating baseline security maturity. However, it lacks critical security headers such as Content-Security-Policy and X-Frame-Options, which are recommended to mitigate common web attacks. No vulnerability disclosures or incident response contacts are published, limiting transparency. Privacy policies and cookie consent mechanisms are absent, posing compliance risks under GDPR and similar regulations. No analytics or tracking scripts were detected, which reduces privacy concerns but also limits user behavior insights. Overall, the security posture is moderate but requires enhancements in policy publication and header implementation to meet best practices.

Recommendations

  1. Enable DNSSEC to strengthen DNS security and prevent spoofing.
  2. Publish comprehensive privacy and cookie policies with GDPR compliance and consent mechanisms.
  3. Implement standard security headers including Content-Security-Policy, X-Frame-Options, and X-XSS-Protection.
  4. Establish and publish an incident response policy with dedicated security contact channels.
  5. Enhance mobile optimization and accessibility features to improve user experience and compliance.
Site observations

Automated reading of the public site. Ratings are indicative.

Business

Company
Hegel AI
Description
Hegel AI is building a developer platform for large language model (LLM) applications. They provide open-source developer tools for LLMs, enabling developers, researchers, and startups to experiment, test, evaluate, and improve generative AI applications.
Key services
Open-source SDK (PromptTools), Playground for LLM experimentation, Monitoring and evaluation tools for LLM applications, Integrations with major LLM providers and vector databases
Content quality
good
Branding
consistent

Technology

Stack
Framer (site generator), JavaScript, SVG graphics, GitHub integration
Frameworks
Framer
Performance
moderate
Mobile
basic
Accessibility
basic
SEO
basic

Security

Observed score
70/100
Good practices seen
  • HTTPS enabled
  • Domain status includes clientDeleteProhibited, clientTransferProhibited, clientUpdateProhibited

Analytics and tracking

Tracking level
minimal
Privacy practices
poor

Advertising

Marketing tools
Calendly (for demo booking)
Transparency
basic

Site quality

Design
good
User experience
good
Content relevance
good
Navigation
good
Professionalism
good
Trustworthiness
moderate

Key observations

  1. Website is a professional marketing site for an open-source AI developer platform
  2. No privacy, cookie, or terms of service policies found on main site
  3. Contact email provided but no phone or physical address
  4. No explicit security or incident response policies published
  5. Good integration with GitHub and Calendly for demos
  6. No tracking or analytics scripts detected in provided HTML
  7. No forms detected except mailto link for contact
  8. No social media links except GitHub and Y Combinator profile
Technical notes

Notes

The website is built using Framer, a modern web design tool, with JavaScript and SVG graphics for UI elements. Hosting is likely on AWS given the registrar and DNS servers. Performance is moderate with preloaded modules and optimized images. The site lacks advanced SEO and accessibility features but includes canonical links and Open Graph metadata for social sharing. No CMS beyond Framer is detected. The technical stack is modern but could benefit from improved accessibility and SEO optimizations. No third-party analytics or tracking scripts were found, indicating minimal technical debt in that area.
Standards and sources

Reference chips under each finding point to the standard, regulation or specification the finding relates to. They are taken from the official datasets below and mapped conservatively: a finding with no defensible link shows none. NIS2 and GDPR references mark where a finding is relevant evidence, not a compliance verdict. Implementing Regulation (EU) 2024/2690 binds digital infrastructure and digital service providers; for other entities it is the most detailed public reading of the Article 21 measures. WCAG, EN 301 549, European Accessibility Act and Web Accessibility Directive references name the requirement an automated accessibility rule relates to; they are not a conformance verdict.

Retrieved 2026-10-25

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