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Source ProofPoint.webp ProofPoint
Identifiant 8439931
Date de publication 2024-01-17 06:00:02 (vue: 2024-01-17 16:08:08)
Titre Comment mettre en place un programme de gestion des menaces d'initié et de prévention des pertes de données
How to Set Up an Insider Threat Management and Data Loss Prevention Program
Texte This blog post is adapted from our e-book, Getting Started with DLP and ITM.   The last few years have brought unprecedented change. An increasingly distributed workforce, access to more data through more channels and a shift to the cloud have transformed the nature of work. These trends have made protecting sensitive data more complicated and demanding.    What\'s clear is that organizations are struggling to rise to the challenge. Between 2020 and 2022, insider threats increased by a staggering 44%. And the costs of addressing them increased 34%-from $11.45 million to $15.38 million.   This upswing mainly comes down to two factors. For starters, most security teams have little visibility into people-caused data loss and insider-led security incidents. And few have the tools or resources to handle it.   That\'s why Gartner sees platforms for data loss prevention and insider threat management (DLP and ITM) increasingly converging. Businesses need tools and processes that give them holistic, contextualized insights that take user behavior into account. It\'s no longer enough to focus on data-and where it\'s moving.  To prevent data loss, industry leaders need to take a people-centric approach that expands beyond traditional drivers like compliance. In this blog post, we\'ll explore some basics for designing an ITM and DLP program. This can help you approach information protection in a way that\'s built for how modern organizations work.  Why information protection is so challenging   Risks are everywhere in today\'s complex landscape. Here are a few changes making it difficult for companies to protect their data.  More data is open to exposure and theft. As businesses go digital, more data is being generated than ever before. According to IDC\'s Worldwide Global DataSphere Forecast, the total amount of data generated data will double from 2022 to 2026. That means malicious insiders will have more access to more sensitive data through more channels. It will also be easier for careless users to expose data inadvertently. Plus, any security gap between channels, any misconfiguration or any accidental sharing of files can give external attackers more opportunities to steal data.  New data types are hard to detect. Data isn\'t just growing in volume. It\'s also becoming more diverse, which makes it harder to detect and control. With traditional DLP program tools, data typically fits within very tightly defined data patterns (such as payment card number). But even then, it generates too many false positives. Now, key business data is more diverse and can be graphical, tabular or even source code.   The network security perimeter no longer exists. With more employees and contractors working remotely, the security perimeter has shifted from brick and mortar to one based on people. Add to the mix bring-your-own-device (BYOD) practices, where the personal and professional tend to get blurred, and security teams have even more risks to contend with. In a survey for the 2023 State of the Phish report from Proofpoint, 72% of respondents said they use one or more of their personal devices for work.  Employee churn is high. Tech industry layoffs in 2022 and 2023 have seen many employees leaving and joining businesses at a rapid rate. The result is greater risk of data exfiltration, infiltration and sabotage. Security leaders know it, too-39% of chief information security officers rated improving information protection as the top priority over the next two years.  Security talent is in short supply. A lack of talent has left many security teams under-resourced. And the situation is likely to get worse. In 2023, the cybersecurity workforce gap hit an all-time high-there are 4 million more jobs than there are skilled workers.  DLP vs. ITM  What\'s the difference between DLP and ITM? Both DLP and ITM work to prevent data loss. But they achieve it in different ways.  DLP tracks data movement and exfiltration  DLP monitors file activity and scans content to see whether users are handling sen
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