31 min

The 1% Problem: Insights and Implications from the 2024 Data Loss Landscape report Protecting People

    • Marketing

In the digital age, data loss prevention is a top concern in cybersecurity as organizations strive to safeguard sensitive information in the hands of careless, compromised and complicit users.

Today’s episode of Protecting People dives into the inaugural Data Loss Landscape report. Our guests, Itir Clarke and Brian Gleeson shed light on the alarming statistics and insightful findings around data loss and people-based risk.

One of the most surprising findings: a mere 1% of users were responsible for almost 90% of data loss alerts.

The conversation also goes into exploring human-centric approaches to DLP, including: How understanding user behaviors can influence policy and shape effective controls to mitigate data loss risksThe impact of departing employees on data security and the need for proactive strategies to prevent unauthorized data exfiltrationThe importance of continually evaluating and adapting DLP strategies to address evolving threatsTune in to discover actionable strategies and best practices for safeguarding sensitive data in an increasingly complex threat landscape.Resources mentionedData Loss Landscape report:https://www.proofpoint.com/us/resources/threat-reports/data-loss-landscapeBlog posts about generative AIhttps://www.proofpoint.com/us/blog/email-and-cloud-threats/ai-concerns-safeguard-data-in-genai-chatgpthttps://www.proofpoint.com/us/blog/email-and-cloud-threats/generative-ai-risks-to-organizational-data

In the digital age, data loss prevention is a top concern in cybersecurity as organizations strive to safeguard sensitive information in the hands of careless, compromised and complicit users.

Today’s episode of Protecting People dives into the inaugural Data Loss Landscape report. Our guests, Itir Clarke and Brian Gleeson shed light on the alarming statistics and insightful findings around data loss and people-based risk.

One of the most surprising findings: a mere 1% of users were responsible for almost 90% of data loss alerts.

The conversation also goes into exploring human-centric approaches to DLP, including: How understanding user behaviors can influence policy and shape effective controls to mitigate data loss risksThe impact of departing employees on data security and the need for proactive strategies to prevent unauthorized data exfiltrationThe importance of continually evaluating and adapting DLP strategies to address evolving threatsTune in to discover actionable strategies and best practices for safeguarding sensitive data in an increasingly complex threat landscape.Resources mentionedData Loss Landscape report:https://www.proofpoint.com/us/resources/threat-reports/data-loss-landscapeBlog posts about generative AIhttps://www.proofpoint.com/us/blog/email-and-cloud-threats/ai-concerns-safeguard-data-in-genai-chatgpthttps://www.proofpoint.com/us/blog/email-and-cloud-threats/generative-ai-risks-to-organizational-data

31 min