Protecting Identity Data in Digital Storage

Anonymisation, De‑identification and the Myth of “Good Enough” In many operational environments, “anonymised” is shorthand for “we removed direct identifiers.” Names, emails and customer IDs disappear, and the dataset is declared safe for internal analytics or external sharing. But under the GDPR, this barely scratches the surface. Recital 26 GDPR requires that data be considered anonymous only when the individual is no longer identifiable by anyone, using any reasonably available means, today or in the foreseeable future. It is a high threshold by design. If there is any plausible route back to an individual, the dataset remains personal data. This is reinforced by the European Data Protection Board (EDPB), which has consistently held that anonymisation must withstand future technological capabilities, not merely today’s tools. From a legal perspective, GDPR offers no sliding scale. Data is either anonymous or it remains personal data, regardless of how well protected it is. Given this reality, organisations should adopt a more grounded default: Treat data as de‑identified (pseudonymised), not anonymised, unless proven otherwise. De‑identified data retains a connection to the individual, even if indirect. A key, token, or external dataset could theoretically restore identifiability. As a result, all GDPR principles continue to apply: purpose limitation, lawful basis, storage limitation, access controls, minimisation and accountability. A practical, defensible model includes four pillars: 1) Data Quality and Accuracy: ensuring transformations and aggregations are meaningful and reliable. 2) Data Accountability and Stewardship: assigning clear ownership and decision-making authority. 3) Data Protection, Security and Compliance: ensuring technical and organisational measures remain effective. 4) Data Architecture and Lifecycle Management: designing systems that support reversible and irreversible transformations appropriately. Without these, claims of “anonymisation” are rarely sustainable. The recent CJEU ruling in the SRB–Deloitte case (Case C-413/23 P) makes this distinction even clearer. The Court held that pseudonymised data may be anonymous for the recipient, if the recipient has no reasonable means to re‑identify individuals.

One open Firebase bucket. 72,000 leaked photos. 13,000 government IDs. Last week, a post on 4chan revealed that the Tea app, a dating advice platform built to protect women, had left an archive bucket completely exposed. No authentication. No restrictions. Directory listing turned on. It took minutes to script a full download. Now, verification selfies and ID documents are being spread across torrent sites. I broke down what happened, and how it could have been avoided: https://hubs.li/Q03z0xFm0 If you're storing sensitive user data and still relying on obscurity or default permissions, you're already exposed. Use signed URLs. Enforce least privilege. Monitor your archive buckets. This is exactly the kind of blind spot DSPM is designed to catch... before someone else does. We don’t get to say “we care about safety” and then leave the front door wide open.

Businesses struggle with fragmented customer data. Across different departments or systems, customer records are often incomplete or duplicated. But what if the customer was the master data record? In our recent live podcast with Jamie Smith💡, he presented how digital ID wallets can transform customer engagement by shifting control of verified data to the individual. Jamie's thesis is that through the use of digital wallets, businesses can start treating the customer as the master data record. With a digital wallet, customers store their digital verifiable credentials, including identity documents and account preferences. And businesses can request that verified information when needed, directly from the customer's wallet, thereby reducing operational complexity, improving trust, and creating frictionless digital experiences. Here's how: 1) Faster onboarding and higher conversion rates: Instead of requiring customers to repeatedly enter personal details and submit ID documents, businesses can request pre-verified data from their digital wallet in a single step. 2) Fraud prevention and risk reduction: Businesses can authenticate customers instantly without relying on insecure, stored identity data. 3) Creating a new revenue opportunity in the form of a verified data exchange: This model enables businesses to act as credential issuers rather than data warehouses. For example, a financial institution (FI) could issue a verified creditworthiness credential, allowing a customer to share a trusted record with a lender instead of submitting sensitive documents manually. The FI could then charge for making that verified data available for verification. 4) Personalization without privacy risks: Instead of businesses storing and analyzing vast amounts of customer data, individuals can store and share their verified preferences directly from their digital wallet. Because businesses receive information directly from customers in real-time, they can offer personalization without relying on invasive tracking methods. I believe that businesses that continue relying on outdated customer databases and traditional authentication methods will face growing challenges, including higher fraud risks, increased regulatory pressures, and declining customer trust. Those that embrace digital ID wallets now will gain a competitive advantage in a more secure, privacy-first digital economy.

🗞️ Needed report By CyberArk on a burning issue : identity security. A decisive element that will determine our ability to restore digital trust. 🔹 « Identity is now the primary attack surface. » Defenders must secure every identity — human and machine 🔹 with dynamic privilege controls, automation, and AI-enhanced monitoring 🔹and prepare now for LLM abuse and quantum disruption. Machine identities are the fastest-growing attack surface 🔹Growth outpaces human identities 45:1. 🔹Nearly half of machine identities access sensitive data, yet 2/3of organizations don’t treat them as privileged. Quantum readiness is urgent 🔹Quantum computing will break today’s cryptography (RSA, TLS, identity tokens). 🔹Transition planning to quantum-safe algorithms must start now, even before standards are finalized. Large Language Models include prompt injection, data leakage, and misuse of AI agents. So organizations must treat them as a new class of machine identity requiring monitoring, access controls, and secrets management. 🧰 What can we do? ⚒️ 1/ Implement Zero Standing Privileges (ZSP) • Remove always-on entitlements; grant access dynamically and just-in-time. • Minimize lateral movement by revoking privileges once tasks are complete 👥2/ Secure the full spectrum of identities • Differentiate controls for workforce, IT, developers, and machines. • Prioritize machine identities: vault credentials, rotate secrets, and eliminate hard-coded keys. 🛡️ 3/ Embed intelligent privilege controls • Apply session protection, isolation, and monitoring to high-risk access. • Enforce least privilege on endpoints; block or sandbox unknown apps. • Deploy Identity Threat Detection & Response (ITDR) for continuous monitoring. ♻️ 4/ Automate identity lifecycle management • Use orchestration to onboard, provision, rotate, and deprovision identities at scale. • Relieve staff from manual tasks, counter skill shortages, and improve compliance readiness. 5/ Align security with business and regulatory drivers • Build an “identity fabric” across IAM, PAM, cloud, SaaS, and compliance. • Tie metrics (KPIs, ROI, cyber insurance conditions) to board-level priorities. 6/ Prepare for next-generation threats • Establish AI/LLM security policies: control access, monitor usage, audit logs. • Begin phased adoption of post-quantum cryptography to protect long-lived sensitive data. Enjoy the read

Another massive breach out of Italy. Nearly 100,000 passport and ID scans from hotel check-ins are now for sale on the dark web. For anyone who has traveled overseas, you know how routine it is to hand over your personal documents at hotel check-in. Many hotels simply scan them into their systems. What happens next is usually unclear, and as this case shows, those scans can easily become a treasure trove for criminals. Once in the wrong hands, these documents can be used for account takeovers, money laundering, and synthetic identity creation. This is not a theoretical risk. Every time we digitize identity without protecting it properly, we expose consumers. At Anonybit, I often highlight our biometric cloud, but an equally important part of our offering is the Decentralized Data Vault. It is designed to protect sensitive personal information, whether documents, tokens, or biometrics, so it cannot be stolen, misused, or concentrated in one place. This capability is especially important for industries like hospitality, travel, and financial services that handle high volumes of PII and need to secure access without creating honeypots. Breaches like this remind us why our mission matters: to protect identity data across its lifecycle and give enterprises a way to digitize with confidence. #databreach #cybersecurity #identitytheft #privacy #anonybit https://lnkd.in/eqnPtf7e

WHY IS ENCRYPTION VITAL? In today’s digital landscape, protecting sensitive information is non-negotiable. Encryption serves as a cornerstone of cybersecurity, ensuring data remains secure whether it’s sitting on a device or moving across networks. 💾 Data at Rest: Encryption shields stored data—think files on your laptop, cloud servers, or mobile devices. By converting data into an unreadable format, it ensures that even if a device is lost, stolen, or breached, unauthorized users can’t access the information without the decryption key. This is critical for compliance with standards like GDPR, HIPAA, and PCI-DSS, which mandate robust protection for sensitive data. 🌐 Data in Transit: When data travels—whether it’s an email, a financial transaction, or a cloud sync—encryption keeps it safe from interception. Protocols like TLS (Transport Layer Security) and VPNs encrypt data as it moves across the internet, preventing eavesdroppers, man-in-the-middle attacks, or malicious actors from compromising sensitive communications. Why does this matter? Cyber threats are evolving daily, with 2,200+ cyberattacks reported every day in 2024 alone. Encryption isn’t just a technical checkbox—it’s a proactive defense that builds trust with customers, protects intellectual property, and mitigates financial and reputational risks. 🔐 Key Takeaway: Encryption is your data’s bodyguard, whether it’s at rest or in transit. Implementing strong encryption practices is no longer optional—it’s essential for staying ahead of cyber risks. What steps is your organization taking to strengthen its encryption strategy? Let’s discuss in the comments, and happy Sunday. #auguryit