Governance Risk and Compliance
Information management provider Iron Mountain has released an AI-enhanced version of its InSight DXP platform. The update introduces autonomous agents to automate document-intensive workflows and help organisations manage unstructured data.
If you've been following data governance discussions lately, you'll have noticed a troubling pattern: despite significant investments in governance teams, data catalogs, and policy frameworks, organisations are still struggling with the same fundamental challenges. Poor data quality, compliance violations, and that persistent lack of trust in enterprise data.
Three-quarters of organisations have experienced AI-related security breaches while attempting to scale artificial intelligence deployments, according to a new report exposing widespread governance failures.
I was recently asked what impact AI will have on data governance and it got me thinking. Most teams I see still run governance the old way: central policy group, registers, manual checks. That worked when data moved slower. But the pace of delivery and the rise of AI has changed everything.
Compliance software provider Theta Lake has released a suite of governance tools designed to help organisations monitor and archive AI-generated content within workplace communication platforms.
RecordPoint has launched RexCommand, a free centralised platform designed to help organisations manage AI deployment while addressing compliance gaps and unauthorised AI tool usage.
Splunk has released a plug-in integrating its Enterprise Security platform with the Australian Signals Directorate's Cyber Threat Intelligence Sharing platform, becoming the second vendor to offer the integration.
If the expression “May you live in interesting times” describes your role, you may be a security and risk management (SRM) leader. Between resource constraints caused by rapid-fire tariff announcements, pressure to expand your purview and a perpetual need to catch up with the latest cybersecurity threat, your best bet is to prioritize initiatives that align with the organization’s broader objectives.
Poor governance and data management practices, not technological limitations, are the primary reasons artificial intelligence initiatives struggle in organisations, according to new research that challenges recent claims about widespread AI project failures.
RegGenome, a UK-based regulatory technology company, has secured a contract with the Asian Development Bank to deploy AI-powered compliance analysis across 14 Pacific Island nations.
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