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Security report for allenai.org

The Allen Institute for Artificial Intelligence · Technology · United States

Medium risk. 3 critical or high findings in GDPR outside view and SSL/TLS.

Security score

75/100

Risk levelMedium

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

The Allen Institute for Artificial Intelligence (Ai2) is a prominent non-profit research organization founded in 2010 by Paul Allen, focused on advancing open and collaborative AI research. The website showcases their leadership in open language models, AI for science, environment, and robotics, supported by partnerships with major institutions such as the Gates Foundation and University of Washington. Ai2 emphasizes openness by providing datasets and models freely accessible to researchers and developers. Technically, the website is built on modern frameworks like Next.js and React, hosted on AWS infrastructure, and uses DatoCMS for content management. It demonstrates excellent performance, mobile optimization, and accessibility. The site integrates HubSpot forms for user engagement and employs a cookie consent mechanism aligned with GDPR requirements. From a security perspective, Ai2 enforces HTTPS, uses domain locking statuses to prevent unauthorized transfers, and maintains a clean security posture with no detected vulnerabilities. However, DNSSEC is not enabled, and explicit security policies or incident response contacts are not published, representing areas for improvement. Overall, Ai2's website reflects a mature digital presence with strong business credibility, good privacy compliance, and a secure environment suitable for its research-focused audience. Strategic recommendations include enabling DNSSEC, publishing security policies, and enhancing vulnerability disclosure transparency to further strengthen trust and security.

Scanned

NIS2 and GDPR posture

GDPR outside view
53/ 100 · Medium
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

3 findings rated critical or high. Fix these first.

  1. GDPR outside view

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

    • 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

  2. SSL/TLS

    TLS encrypts the connection and proves the site is really yours. Weak or expiring certificates trigger browser warnings and put traffic at risk.

    • High

      Weak Protocols Supported

      Server supports weak protocols: TLSv1.1

      What to do: Disable TLS 1.0, TLS 1.1, and all SSL versions

      • CWE-327
      • OWASP A04:2025
      • ASVS V12.1.1

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Keep watching allenai.org

This scan found 21 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
72
Security headers
70
Email security
75
DNS health
80
Network security
100
GDPR outside view
53
Average
75

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

Ai2 holds a strong market position as a leading AI research institute with a unique open-first approach, offering open language models and datasets to the AI community. Their business model is non-profit, focusing on advancing AI science and technology through collaboration and transparency. Revenue streams likely include grants and partnerships, notably with the Gates Foundation and academic institutions. The target customers are researchers, developers, and scientific organizations. The partnership ecosystem is robust, enhancing their credibility and reach. Growth indicators include active model releases, open data initiatives, and community engagement via social media and Discord. Strategically, Ai2 leverages its founder's legacy and institutional backing to maintain leadership in open AI research, differentiating itself from commercial AI providers by emphasizing openness and ethical AI development.

Security posture

Ai2 demonstrates a solid security maturity level with enforced HTTPS, domain registration protections, and no visible vulnerabilities or exposed sensitive data. The absence of DNSSEC is a minor gap. Compliance with GDPR is evident through privacy policies and cookie consent mechanisms. Incident response readiness is unclear due to lack of published security contacts or policies. The security culture appears proactive but could benefit from formalized vulnerability disclosure and incident response documentation. Business impact of current security posture is low risk, but enhancing transparency and DNS security would reduce potential attack surfaces and improve stakeholder confidence.

Recommendations

  1. Enable DNSSEC on allenai.org domain to enhance DNS security.
  2. Publish a dedicated security policy and incident response contact information on the website.
  3. Implement and publicize a vulnerability disclosure program or security.txt file.
  4. Regularly review and update privacy and cookie policies to maintain GDPR compliance.
  5. Enhance transparency around data retention and analytics practices to build user trust.
Site observations

Automated reading of the public site. Ratings are indicative.

Business

Company
The Allen Institute for Artificial Intelligence
Description
Ai2, founded by Paul Allen and led by Ali Farhadi, conducts high-impact research and engineering to tackle key problems in artificial intelligence.
Key services
Open language models (OLMo, Tülu, Molmo), AI for science projects, AI for environment projects, Research publications and principles, Open datasets via Hugging Face, AI tools and playground
Content quality
excellent
Branding
consistent

Technology

Stack
React, Next.js, AWS DNS hosting, HubSpot forms, DatoCMS
Frameworks
Next.js
Platforms
AWS
Performance
fast
Mobile
excellent
Accessibility
good
SEO
good

Security

Observed score
85/100
Good practices seen
  • HTTPS enforced
  • Domain locked with clientDeleteProhibited and clientTransferProhibited
  • No DNSSEC enabled (recommend enabling)

Analytics and tracking

Tracking level
moderate
Privacy practices
good

Advertising

Tracking pixels
stats.allenai.org
Marketing tools
HubSpot forms
Transparency
basic

Site quality

Design
excellent
User experience
excellent
Content relevance
excellent
Navigation
excellent
Professionalism
excellent
Trustworthiness
high

Key observations

  1. Website is professionally designed and well maintained.
  2. Strong focus on open AI research and community collaboration.
  3. Comprehensive privacy and terms policies present.
  4. No signs of malicious or suspicious content.
  5. Active partnerships with reputable organizations.
  6. No exposed sensitive data or security vulnerabilities detected.
Technical notes

Notes

The website uses a modern and scalable technical infrastructure with Next.js and React frameworks, hosted on AWS with Amazon Registrar domain services. Content management is handled via DatoCMS, and user engagement forms are integrated through HubSpot. Performance is optimized with preloading and asynchronous script loading. The site is mobile responsive and accessible, with good SEO practices including meta tags and Open Graph data. Technical risks are minimal, with no outdated or vulnerable libraries detected. Opportunities exist to further modernize by enabling DNSSEC and expanding security documentation. Overall, the technical stack supports Ai2's mission effectively with room for incremental security enhancements.
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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