Name: Simplifying Endpoint Security with Machine Learning
Start: 2023-03-12T03:43:00Z
End: 2023-03-12T03:43:23.000Z
Location: BrightTALK

Next DLP ("Next") is a leading provider of data protection solutions for organizations with valuable data who need to uncover risk, educate employees and fulfill security, compliance and regulatory needs. Next's mission is to reinvent data protection for today's distributed organization and it is disrupting the legacy data loss prevention market with a user-centric, flexible, cloud-native, AI/ML powered solution built for today's threat landscape. For more information, visit www.nextdlp.com.

In 2023, data is dynamic. In a world of hybrid working, people, users and the data they create, manipulate and share across seemingly endless channels are inadvertently setting up more opportunities than ever for data leaks. With seemingly infinite opportunities for data leaks - and with 90% of incidents involving an organization’s own employees - it’s essential that businesses are tackling the threat with a strategy that takes advantage of the latest technology and can thrive in a security-positive culture.

This is where effective training combined with behavioural analytics and machine learning (ML) on the endpoint comes in. In an age of remote work, BYOD, cloud applications, careless insiders and malicious attackers, it takes a truly modern solution to guard against data loss prevention (DLP).

In this discussion, Troy Gabel, Chief Revenue Officer of Next DLP and Dr. Rebecca Wynn, CISO at Click Solutions Group, are diving into how businesses can set-up a fully scalable, low-footprint DLP solution that is secure by design. Join them to hear:

- Current DLP challenges the modern business faces
- What a sustainable, robust DLP strategy in 2023 looks like
- How machine learning on the endpoint is transforming cloud-native, data loss prevention solutions
- Why businesses need to foster a security-positive culture that takes into account the human factor in data loss
- And more

The DLP Revolution: How Data Loss Prevention is Evolving

In this Next Fireside Chat, our experts, Tom Cope and Chris Denbigh-White take an interesting twist on insider threat: the accidental, well-meaning kind. We’re talking about employees accidentally compromising information by building their work experience, portfolios and resumes.

Keeping Sensitive Information Safe in the Real World

At our Next Fireside Chat, Troy Gabel, Chief Revenue Officer, sits down with Software Engineer Alan Brown to talk about machine learning and how we use it to illuminate anomalous behavior on the endpoint, policy-free.

Simplifying Endpoint Security with Machine Learning

Machine Learning

Endpoint Security

Insider Threat

Data Protection

Data Security

Data Loss Prevention

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Simplifying Endpoint Security with Machine Learning

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Next DLP