Defend Your Data against Cloud and Insider Threats 

Stolen credentials accounted for 40% of all data breaches in 2021, according to 2022 Verizon Data Breach Investigation Report. Attackers pose as your organization’s users and access sensitive data in SaaS and IaaS environments. Legacy data loss prevention (DLP) tools can’t distinguish between legitimate users and attackers who access cloud applications and steal your data. Therefore, it’s imperative to employ an adaptive, modern DLP solution that focuses on people, and not just data. 

Join our 30-minute webinar, the first in a three-part series on defending your data, to learn: 

• How visibility across email and cloud environments can improve threat detection 

• How correlating sensitive data manipulation with user behavior can limit threats 

• Tips to tune your DLP program to defend against compromised users and data loss 

• Controls you can put in place today to protect data in the cloud 

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Employee turnover has been – and will continue to be – a major driver of insider threats. Yet, the underlying dynamics have shifted significantly during the past year. While late 2021 ushered in a record number of voluntary job resignations, 2022 ended with a surge in layoffs, particularly in the technology sector. With the high volume of employee churn, it’s imperative that organizations prevent the risk of data loss. How can your organization protect its most valuable data from walking out the door with departing employees?   

Join our 30-minute webinar, the second in a three-part series on defending your data, to learn: 

• How employee turnover increases the risk of insider threats 

• Lessons learned from real-life examples of data loss due to departing employees 

• How to gain granular visibility into employee behavior before they leave the organization 

• Best practices and tools to protect data and accelerate insider investigations 

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The amount of data in your organization is exploding and stored everywhere. Your crown jewels are scattered across data repositories, making it difficult to analyze, manage, label and protect. Legacy data loss prevention (DLP) solutions break in the cloud. Only a limited amount of data can be handled efficiently through traditional, manual approaches. Today’s forward-thinking organizations are deploying new artificial intelligence (AI) data classification tools, to augment and speed the delivery of their DLP strategy. 

Join our 30-minute webinar, the third in a three-part series on defending your data, to learn: 

• How to quickly and accurately discover and classify data in shared repositories with AI classifiers 

• How to augment DLP with actionable insights and recommendations 

• How to auto-generate DLP dictionaries and continuously improve DLP rules across all enterprise channels 

Watch On-Demand