Avanan vs Forcepoint Data Loss Prevention comparison

Avanan is a comprehensive cloud security platform that protects organizations from advanced email and collaboration threats. With its multi-layered approach, Avanan provides real-time protection against phishing, malware, data leakage, and account takeover attacks. 

By integrating with popular cloud applications such as Microsoft 365, Google Workspace, and Slack, Avanan ensures seamless security without disrupting user experience. Its advanced AI and machine learning algorithms analyze billions of data points to detect and block threats, while its granular policy controls allow organizations to customize their security settings. 

Avanan also offers robust threat intelligence and incident response capabilities, enabling organizations to proactively identify and mitigate security risks. 

With Avanan, organizations can confidently embrace the cloud while keeping their sensitive data and communications secure.

Forcepoint Data Loss Prevention (DLP) is a data loss prevention tool that protects users from advanced threats and data breaches. Forcepoint DLP’s technologies can quickly identify and protect sensitive data and provide insight and awareness into attacks on endpoint devices both on and off the network.

With company data constantly on the move, data security teams must have visibility and control across all channels - endpoint, web, network, email, and cloud. Forcepoint DLP provides protection and visibility across all data in the cloud as well as on-premises. One of the key features of Forcepoint DLP is its ability to identify data at rest, in motion, and in use and efficiently secure sensitive information.

Forcepoint DLP key features:

• Identify, remediate and secure sensitive data with network, cloud, and endpoint discovery.
• Central management of policies across all channels, including cloud, endpoint, network, web, and email.
• Optical Character Recognition (OCR) to identify data embedded in images.
• Personally Identifiable Information (PII) for validation checks, real name detection, and proximity analysis.
• Custom encryption identification for exposing concealed data.
• Machine learning, which allows users to train the system to identify unfamiliar data. Users can provide the engine with positive and negative examples so similar data can be flagged.
• Analytics for identifying changes in user behavior. These analytics are leveraged to better understand user risk and are then implemented as automated policy enforcement based on the risk level of the user.
• Cloud protection for monitoring and preventing the loss of sensitive data online, and assessing the risk posed by visited websites.

Reviews from Real Users

Forcepoint DLP stands out among its competitors for a number of reasons. Two major ones are its risk analysis features and its OCR and data discovery capabilities.

Allan P., an associate consultant at Atos, writes, “With OCR and Risk Analysis, we are able to determine if anything sensitive has been shared. OCR helps us to safeguard those things and with risk ranking, we can determine which user is trying to violate policies multiple times even though they have been blocked. It does require additional servers, as the processing and result of the incident is high, however, it's worth using to see all the use cases being met with these two features as well. They are the best features provided by Forcepoint.”

Mahesh D., A senior manager at 2Five1, notes, “The workflow remediation is quite good. That is a key feature because of which it has the upper hand over other DLP solutions. Endpoint protection, web protection, network protection, and storage use are valuable features. Among these, endpoint protection is most valuable. It has good policies and good mechanisms to detect incidents. The workflow remediation is quite good. That is a key feature because of which it has the upper hand over other DLP solutions. Endpoint protection, web protection, network protection, and storage use are valuable features. Among these, endpoint protection is most valuable. It has good policies and good mechanisms to detect incidents.”