As the year wraps up, many IT, security, compliance, and HR teams have unspent budgets that won’t roll over. Rather than scrambling for last-minute, low-value purchases, why not make smart, strategic investments that will pay dividends in 2025 and beyond? Are you concerned about—reducing insider risk, increasing workforce productivity, and guarding against compliance fines?

Insider risk management is more critical than ever as human error and insider threats drive escalating security breaches. While many organizations have adopted User and Entity Behavior Analytics (UEBA) to monitor potential risks, relying solely on UEBA may fall short of the depth needed to stay ahead of these increasingly complex threats.

Despite significant investments in cybersecurity tools like Identity and Access Management (IAM), Security Information and Event Management (SIEM), and Data Loss Prevention (DLP), insider risks continue to grow. Why? These tools primarily focus on actions, logs, and event recognition rather than taking a deep, sophisticated approach to understanding human behavior over time. Insider threats—whether from negligence, malicious intent, or compromised users—are notoriously difficult to detect.

Recognizing the indicators of insider risk before they turn into threats requires a paradigm shift in the way we operate. It necessitates moving from a reactive mode of operation to proactive. And it requires data that is continuously captured and analyzed to enable security teams to easily see patterns and anomalies and gauge the level of risk of specific behaviors.

Elizabeth Harz, CEO of Veriato, sits down with Chris Hughes from Acceleration Economy for an exclusive interview to discuss the evolving landscape of insider risk management.

Insider threat detection in corporate security is essential due to insiders’ access to sensitive information and potential for harm. This challenge extends beyond employees to contractors and automated systems, encompassing risks like data breaches and espionage. With workplaces becoming digitalized, traditional security measures fall short, necessitating a comprehensive approach that blends technology, policy, and culture.

User and Entity Behavior Analytics (UEBA) is vital in safeguarding sensitive information and systems. It offers an innovative and dynamic security approach beyond traditional measures. By analyzing and comparing user behavior patterns against established baselines, UEBA systems intelligently detect anomalies that could signify a security breach.