This update adds real improvements across two very specific fronts: identifying vulnerability signals on exposed assets and detecting relevant leaks, including credentials, domain references and passwords published in pastes, GitHub or other monitored sources. In addition, the AI layer now brings more context to interpret and prioritize findings more effectively.
What we wanted to improve
The goal of this update has been to expand real detection capability and make the information teams receive more useful. It is not only about detecting assets with vulnerability signals earlier or locating information exposures that may actually have impact, but also about providing a more useful reading through AI-assisted analysis and prioritization.
What improves in Discovery
Discovery now improves the ability to flag assets that may show outdated software, weak configurations or potentially externally visible vulnerabilities, helping teams review with better judgment which systems deserve priority attention.
- Stronger ability to detect signals associated with externally visible vulnerabilities.
- Better identification of assets with outdated versions or weak configurations.
- More useful context, also supported by AI, to prioritize internal review and response.
What improves in Data Exposure
Data Exposure has been strengthened to better detect and present genuinely relevant exposures such as credentials, domain references, associated leaks or passwords published in pastes, GitHub and other monitored sources, while also reducing noisy low-value results.
- Stronger focus on leaks relevant to the organization, including exposed credentials and passwords.
- Better ability to distinguish real domain-linked references from non-actionable noise.
- More useful results for review, export and internal response.
What changes for users
In practical terms, these improvements make it easier to detect assets with vulnerability signals earlier, better locate exposures such as leaked credentials or passwords in pastes or GitHub, and rely on more context through AI-assisted prioritization, enabling more useful review and faster team response.