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Security report for ta-da.io

Ta-da · Technology · United Arab Emirates

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

Security score

66/100

Risk levelMedium

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

Ta-da is a technology company specializing in the collection, annotation, and labeling of diverse data types including audio, image, video, and text to support AI training models. Positioned as a specialized provider in the AI data services market, the company targets AI developers and enterprises requiring tailored datasets for applications such as voice recognition, biometrics, and object detection. The website reflects a modern, professional digital presence built on the Framer platform and hosted on AWS infrastructure, indicating a moderate level of digital maturity. Security posture is adequate with HTTPS enabled and domain registration protections, but lacks published security policies and incident response contacts. Privacy compliance is limited due to absence of privacy and cookie policies. Overall, the site is trustworthy and professional but would benefit from enhanced privacy and security disclosures.

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 ta-da.io

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.

Daily monitoring

Recommended

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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
52
Security headers
40
Email security
85
DNS health
85
Network security
100
GDPR outside view
35
Average
66

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

Ta-da operates in the AI technology sector, offering essential data services that enable machine learning and AI model training. The business model revolves around providing high-quality annotated datasets, a critical component for AI development. The company appears to be a small-sized entity founded in 2021, with a business address in the UAE but domain registration privacy protection based in the US. The use of Calendly for client engagement suggests a lean operational approach. The market position is that of a niche service provider with strong customer satisfaction indicated by a high aggregate rating. No direct partnerships or subsidiaries are identified from the website data.

Security posture

The website employs HTTPS and domain registration includes EPP status flags that prevent unauthorized changes, which are positive security indicators. However, the absence of DNSSEC reduces DNS security. No security headers were detected in the provided data, and there is no published security policy or incident response information, which are gaps in security transparency. No vulnerabilities or exposed sensitive data were found in the analysis. The site uses minimal tracking and no known vulnerable libraries were detected. Overall, the security posture is moderate but could be improved with additional security controls and disclosures.

Recommendations

  1. Enable DNSSEC to enhance DNS security and prevent spoofing.
  2. Publish comprehensive privacy and cookie policies with GDPR compliance details and consent mechanisms.
  3. Add security headers such as Content-Security-Policy, X-Frame-Options, and Strict-Transport-Security to improve browser security.
  4. Provide a public security policy and incident response contact information to improve transparency and trust.
  5. Regularly audit and update third-party scripts and libraries to avoid vulnerabilities.

Contact details published on the site

Addresses
Legal name
Ta-da
Site observations

Automated reading of the public site. Ratings are indicative.

Business

Company
Ta-da
Description
We collect, annotate, and label audio, image, video, and text data to power your AI training. From voice and facial recognition to biometrics and object detection, we build tailored datasets for your needs.
Key services
Data collection, Annotation, Labeling of audio, image, video, and text data
Content quality
good
Branding
consistent

Technology

Stack
Framer (website builder), Google Fonts, AWS DNS (Amazon Route 53), JavaScript
Frameworks
Framer
Performance
moderate
Mobile
good
Accessibility
basic
SEO
good

Security

Observed score
70/100
Good practices seen
  • HTTPS enabled
  • Domain status includes clientDeleteProhibited and other EPP protections

Analytics and tracking

Services
Framer events tracking
Tracking level
minimal
Privacy practices
poor

Advertising

Tracking pixels
framer.com events script
Marketing tools
Calendly (for scheduling)
Transparency
basic

Site quality

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

Key observations

  1. Website is fully accessible with no blocking or WAF challenges.
  2. No explicit privacy, cookie, or terms of service pages found.
  3. Contact is primarily via a Calendly scheduling link; no direct emails or phone numbers found.
  4. Website uses modern web technologies and is built with Framer.
  5. No security.txt or vulnerability disclosure information present.
  6. No explicit security policies or incident response contacts published.
  7. Strong business focus on AI training data services.
  8. Good use of structured data for local business and ratings.
Technical notes

Notes

The website is built using Framer, a modern web design platform, and hosted on AWS infrastructure, indicating a reliable and scalable technical foundation. The site uses Google Fonts and JavaScript for UI and event tracking. Performance is moderate with good mobile optimization and basic accessibility features. SEO is supported by proper meta tags and structured data including JSON-LD for local business and aggregate ratings. There is no evidence of legacy or vulnerable technologies. The technical implementation is solid but could benefit from enhanced accessibility and security header implementation.
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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