Ava Reveal

Ava Reveal, developed by Next DLP, is a cloud-native insider risk and data protection solution designed to help organizations mitigate risks, educate employees, and meet security, compliance, and regulatory requirements. According to the vendor, Ava Reveal offers real-time inspection capabilities that can classify sensitive information on the fly, enabling the identification of patterns for personally identifiable information (PII) and protected health information (PHI). It also tracks file movement on systems and browsers to protect against data loss.

The vendor claims that Ava Reveal provides policy-free visibility into endpoint usage by collecting telemetry data from system, user, and network events. This visibility allows organizations to gain insights on installation and usage without the need to build policies. Out-of-the-box policies are also available for common use cases based on data, user, and event context.

Ava Reveal leverages machine learning on the endpoint, as stated by the vendor, to categorize data at the point of risk. It baselines user activity at deployment and uses multiple behavioral analytics algorithms to differentiate between typical and anomalous behavior. This approach ensures data protection without relying on a separate analysis engine, as all personal data remains on the device.

According to the vendor, Ava Reveal promotes a positive security culture by empowering employees to be part of the security solution. It offers adaptable security measures and real-time training to increase productivity while reducing the risk of data loss.

The vendor states that Ava Reveal provides adaptive controls, allowing users to decide appropriate actions in response to security incidents. Users can choose from options such as logging, isolating an endpoint, blocking actions, and customized prompts to reinforce sanctioned data usage. This flexibility enables organizations to respond to security incidents based on their specific business requirements.