Data Discovery stories
Australian agencies could now buy Quest's security and data platforms without repeating lengthy internal reviews, after independent PROTECTED-level assessment.
Recognition in two Microsoft services quadrants puts the Sydney specialist alongside bigger rivals as AI projects hinge on cleaner data and governance.
Businesses can now query governed data across cloud systems in plain language, as Google Cloud opens its conversational analytics tools more widely.
A single benchmark score may be hiding sharp failures when users phrase data queries more vaguely, Google Cloud says.
Enterprises face mounting pressure to govern unstructured data for AI, after GigaOm again ranked Hitachi Vantara as a leader and fast mover.
IT teams are under pressure to expose hidden SharePoint permissions before AI assistants in Microsoft 365 surface confidential files.
Enterprises can now query file-based data in Snowflake and Databricks without first moving petabytes into a lakehouse, cutting AI prep delays.
Enterprises wrestling with AI readiness and data sovereignty may gain clearer governance as Everpure adds a new intelligence layer.
Security teams want daily scanning and clearer risk rankings as cloud sprawl and third-party reliance widen attack surfaces, a survey found.
The tie-up gives Databricks users quality and lineage checks for AI workflows, helping teams spot risky data before it reaches models.
The funding values the cybersecurity group at USD $12 billion as enterprises race to secure data exposed to AI tools and agents.
The platform could cut the time and cost of preparing siloed files for AI, with queries fed from metadata rather than full data copies.
Businesses will be able to share AI models and unstructured data across clouds and on-premises systems without custom integrations.
Growing AI use is heightening pressure on firms to track sensitive data and close governance gaps, as 85% cite such issues as adoption barriers.
Enterprises could cut integration work and security risk as pre-tested FlexPod systems are aimed at production AI deployments and edge use cases.
False alarms in data security posture tools are draining analyst time and masking real exposure as cloud data volumes keep rising.
The software aims to stop printed and scanned documents slipping outside managed workflows, a growing compliance risk for AI-heavy firms.
Fragmented enterprise data is slowing AI rollouts, and the new software aims to find, classify and govern it across mixed systems.
The launch targets firms struggling to keep AI projects fed with clean, unified data as fragmented storage can leave GPUs idle.
Voluntary model reviews may leave gaps as advanced AI systems move closer to critical infrastructure and enterprise data.