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.
5 matching stories — new capability, in Data Access Governance — 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.
Agentic AI is scaling faster than most governance teams can keep up. A recent found that nine in ten organizations are actively deploying autonomous AI agents. Yet many governance teams are still performing tasks like resolving conflicting definitions and onboarding assets manually, work that can take weeks per task. General-purpose AI assistants can't close that gap since they lack business context and guardrails. Collibra Maestro changes that, bringing AI-powered automation directly into…
Businesses are adopting agents faster than security can review them, and every agent inherits its owner's permissions the moment it's deployed. That is why Cyera approaches agent security from the data layer up. Today, that approach becomes a reality. Cyera Agent Guardian makes every agent as visible and accountable as a human employee, with every decision anchored in what the data actually is.
As organizations scale AI agents, the context those systems rely on determine whether they succeed or fail. A developer asking Snowflake Cortex about "monthly active users" may get a different answer than a colleague asking Databricks Genie the same question, because no single governed definition exists to ground either response. According to , 60% of AI projects will be abandoned due to poor data readiness, and missing and fragmented context sits at the heart of that failure. The organizations…
Your Foundry Agents Are Live in Azure. Today, You Can See What They Run As — and What They Can Reach. Azure AI Foundry is where developers ship agents on top of Azure OpenAI, Azure AI Search, third-party model deployments, and the broader Azure platform. Each Foundry agent runs against a model deployment, calls tools, […] The post Veza Expands AI Agent Security to Azure AI Foundry appeared first on Veza.
Your Agents Have Access. Now You Do Too. AI agents are already running in your AWS environment. Security teams often face a significant visibility gap: they may not know which agents exist, what models they run, or what data they can reach. This creates a critical “blast radius” issue when security incidents occur. In many […] The post Veza Expands AI Agent Security to Amazon Bedrock AgentCore appeared first on Veza.
