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Tag: AI Governance
Why AI explainability is now a regulatory imperative
A striking paradox has emerged from ComplyAdvantage's annual compliance survey: whilst 94% of compliance leaders believe existing and upcoming AI regulations will prove effective,...
Why compliance control towers are reshaping RegTech
Enterprise compliance is undergoing a structural transformation. Across financial services and beyond, firms are moving away from fragmented point solutions and towards centralised oversight...
Smarsh integrates Claude Enterprise for AI compliance
Smarsh, a global provider of digital communications data and intelligence, has launched a new integration with Anthropic's Claude Compliance API, enabling organisations to capture...
Theta Lake targets AI comms risks with new tools
Theta Lake, a compliance AI specialist, has rolled out a series of updates to its AI-native platform spanning new certifications, a fresh patent, expanded...
US companies dominated the global RegTech market securing half of all...
Key Global RegTech investment stats in Q1 2026:
Global RegTech deal activity increased by 14% YoY in Q1 2026
US companies secured half of...
Key compliance priorities for investment managers in 2026
The compliance landscape for investment managers is shifting faster than it has in years. At ACA Group's recent spring media roundtable, the firm's experts...
APRA calls for better AI risk management in finance
APRA, the Australian Prudential Regulation Authority and financial regulator overseeing banks, insurers and superannuation trustees, has urged the sector to significantly strengthen how it...
AI governance gap puts UK finance at risk
A report from Zango AI, a compliance technology firm, has found that senior leaders across UK and European financial services are warning of a...
What is AI communications and why does it matter?
Artificial intelligence is reshaping how organisations operate, and with that transformation comes an entirely new category of workplace interaction: AI communications, or "aiComms".
According to...
Why continuous learning stops AI models going stale
Many organisations are unknowingly setting themselves up for failure by building AI models that are only ever trained once. Without a framework for ongoing...









