Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Proofpoint DLP and Trellix DLP are two notable data loss prevention solutions. In this blog, we’ll analyze both platforms in depth and see how they compare. We’ll also introduce Teramind as a compelling alternative that combines the best aspects of Proofpoint and Trellix, while offering additional tools that could increase your workforce’s safety and productivity.

Employee monitoring has become a standard practice for organizations seeking visibility into productivity, security, and operational efficiency. However, monitoring employees, especially in jurisdictions like California, requires careful alignment with privacy laws such as the California Consumer Privacy Act (CCPA) and its amendment, the California Privacy Rights Act (CPRA). This article provides a high level overview of how employee monitoring intersects with CCPA/CPRA requirements.

Privileged accounts are the most powerful and most vulnerable identities in any organization. System administrators, DevOps engineers, and IT teams have access to core systems, sensitive data, and critical infrastructure. This level of access is essential for daily operations, but it also makes these accounts highly attractive targets for attackers. The real challenge is not just tracking activity, but understanding whether that activity is normal or not.

Artificial intelligence is rapidly moving from an experimental phase to a fundamental business requirement. While tools like ChatGPT can turn hours of data analysis into minutes of work, they also introduce a new era of Shadow IT and data security risks. If you’re concerned about sensitive spreadsheets being uploaded to third-party AI or want to ensure your team is seeing a true return on investment, you need a clear strategy for monitoring employee AI usage.

As work becomes more distributed and digital behaviors, both human and non-human, become more complex, organizations need more than activity data; they need context to understand risk, performance, and intent. Behavioral visibility analyzes workforce behavior patterns to detect engagement, sentiment, and insider risk signals. It helps security, IT, HR, and leadership identify emerging risks earlier, reduce false positives, and make more informed, proactive decisions in complex work environments.

A remote workforce is defined as having employees who perform their work away from a traditional office setting. Commonly, remote employees work from home or some other location with internet access. A co-working space is another popular flexible remote work environment, offering a dedicated and professional setting outside the home or traditional office.

Generative AI security is the practice of protecting generative artificial intelligence models, applications, and their underlying training data from cyber attacks, data leakage, and unauthorized access. It focuses on securing both sides of the system—i.e., the AI itself (models, pipelines, APIs) and the sensitive data flowing into and out of it during real-world use.