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.
320 matching stories — announcement, in Data Classification — 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.
The September Microsoft Patch Tuesday release included 975 vulnerability advisories. This month, 1,415 vulnerabilities were just dropped. Compared to a pre-June average of 100 a month, that increase is staggering. Where did they come from? And what does the future look like?
Microsoft announced that IT administrators can now use quick machine recovery on Windows Server 2025 after installing the October 2026 security update. [...]
Microsoft says companies should treat AI agents as insiders, and is adding controls that grant access per task and tighten it as an agent’s risk rises. The post Microsoft Targets Rogue AI Agents With Dynamic Permissions, Risk Scoring appeared first on SecurityWeek.
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.
archTIS and Pexip, a provider of secure, customizable video collaboration for defense and government organizations, today announced a strategic partnership to integrate archTIS Trusted Data Integration (TDI) with Pexip Secure Meetings. The post archTIS and Pexip Partner to Deliver Real-Time, Clearance-Based Access Control for Secure Video Collaboration appeared first on archTIS.
When Roles and Groups Aren’t Precise Enough, You Create More Groups. Right? Managing access to sensitive data in organizations with unique regulatory or specialized requirements can be a complex challenge. Traditional “one-size-fits-all” access controls often fall short, leading companies to either encrypt documents, restricting collaboration and risking permanent loss of access, or to create numerous […] The post When roles and groups aren’t precise enough ABAC offers fi
Data governance taught us how to govern the information behind a decision. Now, AI is forcing us to govern the decision itself. Working with customers every week, I keep meeting a new class of decision-maker that nobody hired, nobody onboarded and few govern. The reality is that AI agents are making more and more decisions and the human "in the loop" often shows up too late to matter. In fact, Gartner predicts that by 2028, at least 15% of day-to-day work decisions will be made autonomously by…
There’s a context crisis nobody warned you about. While building a context layer for an AI agent could look like a deceptively simple undertaking, what might sound like a low-effort weekend project can quickly bottleneck around sync pipelines, schema mapping, permission layers and staleness guarantees. What AI agents actually need is a context engine that delivers the right context, in the right format, at the right time. That is emphatically not something you cobble together over a weekend.1…
The question most AI leaders cannot answer Most organizations can describe their AI strategy. Far fewer can answer a simpler question: what AI is running in production right now, who owns it and can you prove it is under control? That is not a policy problem. It is a command problem. AI has moved from a handful of models built by one team to hundreds of models, applications and autonomous agents across every business unit and cloud platform. Governance designed for the first world does not…
archTIS is proud to announce that our Spirion Sensitive Data Platform (SDP) AI Guardrails solution has been named Data Security Innovation of the Year by CyberSecurity Breakthrough, recognizing an innovative approach to protecting sensitive data before it becomes part of AI models. The post archTIS Named Data Security Innovation of the Year for its AI Guardrails Solution appeared first on archTIS.
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.