Regulatory & Compliance Framework (GDPR)
27 May 2026
- What is the lawful basis for processing cyber-threat signals under GDPR?
- Does signal sharing involve special category or criminal offence data?
- How does the platform enforce the Purpose Limitation principle?
- How is the Data Minimisation principle applied to threat telemetry?
- How does the ecosystem ensure compliance with the Accuracy principle?
More in depth legal answers that cover key aspects of applicable laws
What is the lawful basis for processing cyber-threat signals under GDPR?
Processing operations strictly rely on Legitimate Interests under Article 6(1)(f) of the GDPR. The collective prevention, disruption, and detection of online fraud, cybercrime, and scams constitute a compelling legitimate interest for both the corporate partners and the broader digital ecosystem.
Does signal sharing involve special category or criminal offence data?
While threat signals (such as compromised email addresses or phone numbers) constitute personal data, they do not inherently qualify as Special Category Data under Article 9. However, where signals contain elements relating to criminal activities or fraud investigations, processing conforms to Article 10 GDPR and localized supplementary laws (e.g., the UK Data Protection Act 2018), ensuring data is strictly handled for crime prevention.
How does the platform enforce the Purpose Limitation principle?
In accordance with GDPR principles, data collected for the Global Signal Exchange (GSE) is used exclusively for disrupting cybercrime, verifying threat vectors, and analyzing risk patterns. The GSE prevents function creep by legally restricting data usage via participant agreements. This ensures that no personal data shared as a signal is repurposed for marketing, commercial profiling, or unrelated business analytics.
How is the Data Minimisation principle applied to threat telemetry?
The GSE applies a strict data minimisation policy. Only the exact, relevant technical or identifiers string (e.g., an IP address, a specific malicious URL, an IBAN, or a malicious phone number) necessary to identify a threat is processed. Auxiliary or collateral personal data that does not directly serve as a verifiable cybercrime indicator is systematically filtered out or rejected at ingress.
How does the ecosystem ensure compliance with the Accuracy principle?
To meet GDPR requirements, threat intelligence cannot rely on unverified claims. The platform features a structured telemetry verification process where entries are evaluated, contextualized, and updated. Indicators are assigned real-time confidence scores and other metrics based on consensus, as well as feedback from the community and from the GSE’s technical sensors, allowing erroneous or stale indicators to be updated or downgraded dynamically.