The public sector is under constant threat from cyber criminals who use advanced tactics such as phishing, ransomware, imposter emails and other methods to exploit employee vulnerabilities.
In today’s cybersecurity landscape, once a cybercriminal has landed one of your users’ credentials, they can access your critical assets to steal your data or ransom your systems in a matter of hours.
It has been a busy first quarter for the Proofpoint Threat Research team!
Impersonation attacks are among the most common and dangerous cyber threats. Bad actors use a variety of tactics to abuse and exploit trusted business communications to initiate attacks.
With Proofpoint's Data Loss Prevention (DLP) solutions, you can transform your data security program and architecture.
Adaptive Email DLP uses behavioral AI to learn about your employees’ normal email sending behaviors, their trusted relationships and how they communicate sensitive data. It then analyzes each email to detect anomalous behavior, notifying admins of potential data loss incidents.
Proofpoint protects against data loss by everyday users and defends against threats from risky users by providing deep visibility into user activity and behavior. Proofpoint provides a comprehensive, contextualized, cloud-native solution that provides visibility and insights across channels.
When threat actors compromise a user’s account and credentials, they try to take control of that user’s digital identity. If they succeed, they will attempt to exploit even more user accounts.
Cybersecurity is not just about technology; it's also about the people who are impacted by it. Proofpoint’s latest 2024 State of the Phish report highlights the persistent challenge of user behavior in cybersecurity.
The challenge of predicting what data needs protection is daunting, and relying on a “know your data” measures is reactive.
Tactics such as spoofed domains, lookalike domains and compromised supplier accounts are often used jointly in
New and modern ways of working, cloud adoption, and emerging technologies like Generative AI challenge current approaches to data loss prevention and insider threats. Against this backdrop, we sought to understand whether current DLP and insider threat approaches were sufficient.