Data-intensive operations in the finance industry are highly susceptible to threats.The instances of non-compliance are on the unprecedented rise with growing remote work and evolving workplaces. To avoid incrementing regulatory breaches and unrecoverable data loss, which could also invite hefty penalties – finance businesses are facing the high time to adopt effective security measures that can help counter risks, regulate processes, and control non-compliance incurred costs.

The difference may sound subtle, but it can cause unrecoverable damage to organizations. Triggered by intentional (or unintentional) employee behavior, insider risk puts business data integrity at stake, while insider threat happens when the data at risk gets exposed to some unauthorized entity. Both cases pose challenges to workplace compliance and operational efficiency.

The importance of AI is expanding across businesses and use cases. The emerging role of artificial intelligence is benefiting today’s digital-first businesses in ensuring compliance for data-sensitive roles handling information-critical operations. How AI in the workplace is enabling concerned organizations to strengthen security posture, let’s explore.