Data Discovery stories
Unstructured files that can sway deal value will be targeted by a new AI joint venture aimed at speeding M&A reviews and protecting sensitive records.
Analyst recognition highlights rising demand for AI governance tools as banks and governments face tighter compliance risks from poor data controls.
Large companies could cut weeks of analysis to minutes as Aera links conversational AI to governed, auditable business actions.
Business users could get governed AI support inside analytics workflows as SAS adds copilots, agents and open-standard connectors to Viya.
The update aims to curb AI project failure by baking governance into data preparation, analysis and automation across cloud-native workflows.
Joint customers can now see which cloud alerts threaten regulated or business-critical data, helping them prioritise remediation and cut alert fatigue.
Most firms lack the live, governed data needed for autonomous AI, with 66% of executives saying real-time access is non-negotiable.
The tie-up should help enterprises make workflow decisions with governed data from more systems, not just ServiceNow itself.
Attacks on encrypted records could surface years from now, with most organisations still lacking the visibility and defences to cope.
Visibility alone will not stop sensitive data leaking into AI tools, so security teams must turn DSPM findings into live controls and data lineage.
Businesses are beginning to use Qlik's agentic analytics in live workflows, with healthcare, sport and manufacturing deployments now in production.
Enterprises struggling with fragmented files and AI governance now get a new platform aimed at giving staff and agents safer access to data.
Security teams will soon be able to track sensitive information in vector databases as Commvault extends AI risk controls beyond unstructured data.
IT teams could spot outage risks sooner as Freshservice now continuously maps cloud, hybrid and on-premises assets and dependencies.
Security teams face a wider gap as enterprise AI moves into production, with data governance and runtime controls often managed separately.
Yet most firms still cannot see where sensitive files sit, leaving unstructured data underprotected as AI and cloud use expand.
As AI moves into production, enterprises face gaps between data governance and runtime controls that can expose sensitive information and policy breaches.
Enterprises racing to deploy AI tools are risking sensitive data leaks unless security moves from discovery to runtime protection, F5 and Forcepoint say.
Users of ServiceNow Data Catalog will now see Ataccama quality scores and alerts before selecting data, helping reduce bad AI and workflow decisions.
Drowning in noisy alerts and fractured tools, security teams are turning to unified data security posture management for real visibility.