Annual Data Exposure Report 2024
Findings reveal companies are at risk of data loss driven by changing workforce, AI usage, and source code exfiltration.
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Uncover what data is riskiest in software and technology.
Check out these resources to learn a better way for software and tech companies to protect data.
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Using Incydr to Protect Source Code
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Detect Source Code Leaks & Avoid IP Theft
Code42 Incydr detects Git push commands to untrusted repositories, offering much-needed protection of source code without disrupting the productivity of engineering teams. Watch the demo to learn...
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How Lyft Uses Incydr to Cut Down Response Time
Part of Lyft’s growth and success is their remote company culture, but they faced challenges -- ensuring their employees could get their work done while protecting their sensitive IP.
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Learn how Code42 Incydr can protect your company's source code.
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How Lyft Uses Incydr to Enable a Cooperative and Trusting Environment
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Lyft Uses Incydr to "Take the Blinders Off" of High-Value Data Movement by its Remote Workforce
As the company continued its rapid growth and prepared for an IPO, it became increasingly clear that they needed to address Cloud visibility issues.
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How Incydr™ Prioritizes Risk to Data: An Overview of Incydr’s Prioritization Model
Learn how Incydr surfaces the difference between harmless file movement and actual data leak or theft.
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Comparison Guide: Data Protection Solutions DLP vs Insider Risk Management
DLP isn’t the answer. Learn about data protection that solves the problem — Insider Risk Management.
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Dissonance in Data Security: Why Traditional Security Tools Aren’t Getting the Job Done
A recent Forrester survey revealed problems with using policy-based tools to protect against data security threats that create blindspots in your data where you need visibility the most.
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Annual Data Exposure Report 2023
Latest findings show Insider Risk is becoming increasingly complex to solve, but awareness is growing and companies are making investments to solve the problem.
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CrowdStrike & Code42 Incydr: How They Work Together Against External Threats and Insider Risk
Building a powerful tech stack and understanding the human side of Insider Risk.
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Annual Data Exposure Report 2022
Findings show a 1 in 3 chance your company will lose IP when an employee quits – and the Great Resignation & hybrid-remote workforce have created these urgent data exposure challenges.
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5 Ways Incydr™ Meets Insider Risk Management Requirements
Data at your company is being put at risk just by people doing their jobs. To manage this risk, you need an IRM program to identify risk, automate response, and improve your Insider Risk posture.
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DLP Won't Solve Your Data Leak Problem: Exploring the Data Exposure Report, Volume II
Webinar discussing why the security industry is moving toward new solutions to support evolving security postures that better protect data.
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It’s Not Impossible: Securing Data While Supporting Employee Productivity
Insider threat and insider risk are often discussed interchangeably. This podcast produced by EM360 breaks down key differences between the two.
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How UserTesting Protects a Software-Defined Perimeter with Incydr™
To fuel and protect UserTesting’s innovation, their security team partners with the business to ensure data security amidst their culture of agility, collaboration and employee enablement.
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Insider Risk Management: A Better Way to Prevent Data Leaks
The Insider Risk Management approach to data protection ensures that organizations never compromise their speed of innovation nor the safety of their data.
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2021 Data Exposure Report, Volume II
This report examines how respondents who have a policy-based tool, like DLP, have addressed data protection in the last year.
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Incydr™ Use Case: IP Theft
76% of companies have experienced IP loss. Stop your crown jewels from being stolen.
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Why Stolen IP, Departing Employees, and Remote Work Demand a New Approach to Data Protection
Security Advisor at Code42 will takes us through why Insider Risk Management is the best approach for today's data protection challenges.
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