What if the data that was stolen wasn’t real, anyway?
What executives learned in a live breach simulation at the uOttawa-IBM Cyber Range, and why tokenization answers quantum risk and safe AI adoption.
Funding rounds, leadership changes, incidents, new capabilities and announcements across the vendors in this catalog — collected automatically from vendors' own public feeds. Product release versions are on their own page, so the landing feed here never reads as one vendor's changelog.Where this comes fromEvery item links to the vendor's own published source: a GitHub release feed, a changelog, a status page, an SEC filing or a company blog. Nothing here is written or editorially reviewed by 0-Doubt, and nothing is a recommendation — it is machine-collected public record, labelled the same way as all other baseline content on the platform. Coverage is uneven by design: a vendor that publishes no public feed will not appear, and that absence is not a judgement about the vendor.
115 matching stories — announcement, in Data Masking & Synthetic Data — showing up to 3 per vendorPer-vendor capWhile browsing, no single vendor may fill more than three slots on any one page, so a vendor with a chatty release cadence cannot buy the page you are looking at. That means a page can render fewer stories than the count above. Searching a headline or naming a vendor turns the cap off, because then you have asked to see everything that matches.
What executives learned in a live breach simulation at the uOttawa-IBM Cyber Range, and why tokenization answers quantum risk and safe AI adoption.
How client tax files ended up in an IT help desk at EY, what the breach is costing, why vendor vetting alone wouldn't have changed much, and the four-part framework that keeps regulated data out of places nobody counts as a data store.
How client tax files ended up in an IT help desk at EY, what the breach is costing, why vendor vetting alone wouldn't have changed much, and the four-part framework that keeps regulated data out of places nobody counts as a data store.
We ran OpenAI PrivacyFilter and Protecto on the same 150 enterprise prompts. PrivacyFilter detected about 68% of 344 annotations, but only 37% came back with a data type a policy engine can act on. Protecto correctly classified 90%. The post OpenAI PrivacyFilter vs Protecto: 344 Annotations Compared appeared first on Protecto.
PDF data masking is the security step most document AI stacks skip. Learn why it has to happen before documents reach RAG, agents, or model training, and how Protecto’s open-source PDF masking project handles it today. The post PDF Data Masking: The Missing Security Step in Document AI appeared first on Protecto.
Every company is turning its document archive into a knowledge base for AI. Here's what changes when Protecto enforces data policy in the RAG pipeline, protected at ingestion, policy-rendered at retrieval, so the same precedent looks different to an adjuster and a customer. The post Data Policy in the RAG Pipeline: Stop 30 Years of Exposure appeared first on Protecto.
Read the full white paper to understand why enterprise AI gets stuck between pilot and production—and how data-centric protection, agent governance, and enforceable policy can help remove the friction. The post The AI Friction Tax: AI Security, Governance & Production appeared first on Protegrity.
AI agents breached 27 retailers and exfiltrated 600,000 card records, mostly from databases rather than checkout skimmers. Here is what would have stopped it.
Shadow data hides in backups, test environments, spreadsheets, and SaaS exports. Use this practical checklist to find and secure it before attackers do.
VGS surpasses 10 billion tokens stored, now adding 1B+ monthly. See how trusted infrastructure is powering the next wave of agentic commerce.
Your production data is governed. The copies your ML pipeline creates are not. Why AI data exposure is decided before training, and how Mage Data's Training Data Guardrails close the gap.
Every regulated institution is living under the same converging pressure, whichever jurisdiction it calls home. Data sovereignty legislation is tightening everywhere: Canada’s Bill C-27, the UAE’s PDPL, Qatar’s PDPPL, India’s DPDP Act and Malaysia’s PDPA all impose residency, access control and audit requirements standard cloud tooling was never built to satisfy.
Vietjet and Thales strengthen partnership in MRO and kickstart digital aviation, AI & cybersecurity cooperation prezly Tue, 09/15/2026 - 09:07 Civil Aviation General aviation Asia-Pacific Share options Facebook X Whatsapp Linkedin Email URL copied to clipboard 15 Sept 2026 On September 10, Vietjet and Thales signed a “Repair-By-The-Hour” contract covering Thales products for A320 and A330 fleets, demonstrating trust in Thales as a premium provider of repair and maintenance solutions.Further
Thales Alenia Space wins NIGCOMSAT contract to build NigComSat-2A geostationary telecommunications satellite tas Mon, 09/14/2026 - 08:16 Space Share options Facebook X Whatsapp Linkedin Email URL copied to clipboard 14 Sept 2026 Cannes, September 14th, 2026 – Thales Alenia Space, a joint venture between Thales (67%) and Leonardo (33%), has signed a contract with Nigeria’s government-owned NIGCOMSAT Ltd to develop a new telecommunications satellite operating from geostationary orbit. The communic
Thales Builds Cryptographic Security for the Age of AI and Post-Quantum Computing prezly Mon, 09/14/2026 - 08:00 Cybersecurity Application security Data security Share options Facebook X Whatsapp Linkedin Email URL copied to clipboard 14 Sept 2026 Thales launches Luna 8, a new hardware security module (HSM) to provide future-ready, quantum resistant security to protect critical data and applications. Powered by a Thales designed cryptographic processor, it delivers unparalleled performance, enha
Evaluate AI data security vendors across protection, governance, operations, and compliance with practical requirements, RFP questions, warning signs, and a five-domain scorecard. The post AI Security Buyer’s Guide: AI Data Security appeared first on Protegrity.
The post Data Ready for AI Anywhere – Knowledge Still Protected appeared first on Protegrity.
Mastercard's TLID mandate is reshaping subscription billing. Learn key deadlines, backfill options for existing subscriptions, and how to keep CIT/MIT transactions compliant before the October 2026 enforcement date and avoid costly declines
Learn how network tokens replace PANs to cut fraud, boost authorization rates, and improve payment continuity. See how VGS helps merchants manage tokens across processors.
In traditional enterprise cloud architecture, we’ve spent the last fifteen years perfecting the art of isolation.
There is widespread concern that quantum computers could eventually defeat today’s encryption. Many experts warn that once quantum machines have enough qubits, they could break 256-bit encryption in seconds, putting massive amounts of data at risk. That is why so much time, money, and energy are being invested in post-quantum encryption (PQE). Yet PQE promises […]
There is widespread concern that quantum computers could eventually defeat today’s encryption. Post-quantum encryption promises only resistance, not protection. Multi-dimensional Result Factoring changes the rules of the game instead. The post Exploiting Quantum’s Achilles’ Heel appeared first on Anonomatic.
Protect sensitive data without changing your applications Transparent Field-Level Encryption (TFLE) protects sensitive data as it moves between applications and databases—without requiring changes to application code, database schemas or business workflows. By operating directly on the database wire protocol, TFLE can identify sensitive fields in queries and responses, apply the appropriate protection policy, and dynamically enforce Row-Level Security (RLS) and Column-Level Security (CLS)....