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.
215 matching stories — in Managed File Transfer — 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.
Artificial intelligence transforms automotive manufacturing through predictive maintenance, quality control automation, and supply chain optimisation. However, these AI systems process vast amounts of sensitive data including proprietary designs, supplier information, production metrics, and customer data that require robust AI data governance frameworks to maintain competitive advantage and regulatory compliance. Automotive manufacturers face unique AI risk Read more...
Privileged access sits at the center of some of the most consequential activities in an organization. When a highly privileged credential is compromised—or used without sufficient control—the effects can spread quickly across systems, data, and operations.
Saudi Arabia’s Vision 2030 transformation initiative positions artificial intelligence as a cornerstone of economic diversification and digital government services. Public sector organisations across the Kingdom are rapidly deploying AI systems to enhance citizen services, optimise resource allocation, and improve decision-making processes. However, these AI implementations create unprecedented AI data governance challenges that traditional security frameworks Read more...
Austria’s public sector organisations deploying artificial intelligence systems face increasingly complex data sovereignty requirements that demand careful architectural planning and robust governance frameworks. These requirements extend beyond traditional data protection measures to encompass AI-specific considerations around training data localisation, algorithmic transparency, and cross-border data flows. Understanding these requirements becomes critical as Austrian government agencies
Non-human identities and artificial intelligence are transforming software development at an unprecedented pace. Teams are shipping applications faster, integrating dozens of cloud services in days instead of months, empowering developers—and increasingly non-developers—to build with AI. There's a hidden cost to this acceleration: an explosion of machine credentials that organizations can’teffectively govern.
For years, privileged access management (PAM) focused on protecting human administrators. The biggest concerns were compromised credentials, privileged insiders, and ensuring that administrators had only the access they needed to perform their jobs.
On July 21, 2026, OpenAI disclosed that their large language models (LLMs) had "escaped" their testing environment and compromised Hugging Face's production infrastructure during a training exercise. As of the publication of this article, this is the first well-documented incident involving an AI agent compromising real production infrastructure. While we don't know everything in great detail, let's review the facts of the situation.
Artificial intelligence is changing cybersecurity at an incredible pace. Every few months, a new breakthrough sparks discussions across the industry—but few have generated as much conversation recently as Mythos. Some headlines suggest it could revolutionize software security. Others warn it could become the next major weapon for cybercriminals.
