Webinar Description
Key Takeaways
- Explores why traditional Data Loss Prevention (DLP) solutions are falling short in today’s threat landscape
- Highlights the growing risks and costs of insider-related data loss, now averaging $19.5 million annually for organizations
- Introduces behavioral AI and user intent analysis as next-generation approaches to data security
- Addresses operational challenges posed by Shadow AI and misdirected emails
- Offers actionable strategies for proactive prevention, compliance, and building a security-conscious culture
KnowBe4’s live webinar, “Why Your DLP Is Failing and What To Do About It,” brings a timely focus to the evolving challenges of data loss prevention in modern organizations. As insider-related incidents continue to escalate in both frequency and cost, security leaders are re-examining the effectiveness of legacy DLP tools. This session, led by CISO Advisor Erich Kron, delves into the operational realities and emerging risks that demand a smarter, more adaptive approach to data protection.
Industry Context: The Shifting Landscape of Data Loss
Organizations today face a complex web of data security threats, with insider actions—both accidental and malicious—driving a significant portion of costly breaches. The rise of Shadow AI, where employees use unauthorized AI tools, and the persistent risk of misdirected emails have exposed the limitations of traditional, rule-based DLP systems. These legacy solutions often struggle to keep pace with the dynamic ways sensitive data can be exposed or mishandled.
Why Traditional DLP Falls Short
Legacy DLP tools typically rely on static rules and rigid policies, which can lead to high rates of false positives and missed threats. As organizations adopt new technologies and workflows, these systems often fail to recognize nuanced user behaviors or adapt to emerging risks. The result is a growing gap between policy and practice—one that attackers and careless insiders can exploit.
Behavioral AI and User Intent: A New Approach
The webinar introduces a shift toward intelligent, context-aware data security. By leveraging behavioral AI and analyzing user intent, organizations can move beyond reactive controls and toward proactive prevention. This approach enables real-time risk detection, more accurate identification of insider threats, and a reduction in misdelivery errors—especially in environments where sensitive data is constantly in motion.
Operational Challenges and Practical Solutions
Participants will gain insight into the operational hurdles of managing insider risk, from the proliferation of Shadow AI tools to the complexities of compliance audits. The session offers practical guidance on integrating behavioral analytics into existing security frameworks, improving audit visibility, and fostering a culture where security awareness is embedded in daily operations.
Who Should Attend
This session is tailored for IT professionals, CISOs, security managers, compliance officers, and technical staff responsible for safeguarding sensitive data. The content is particularly relevant for organizations seeking to modernize their DLP strategies and address the realities of insider-driven risk.
Event Format and Value
Delivered as a live, interactive webinar, the event combines technical depth with practical insights. Attendees will have the opportunity to earn CPE credits while engaging with thought leadership from KnowBe4, a recognized provider in the security awareness and insider threat management space.