Lastline works in cybersecurity, helping organizations without large security teams detect threats hidden in abnormal system activity.
With Lastline's Chief Information Security Officer, Wildstream implemented behavioral analytics and anomaly detection that monitor file access across enterprise systems and alert teams to deviations.
Security teams are alerted when activity deviates from normal patterns, so possible threats are checked before they spread
Designed for organizations without large security teams, where nobody has time to review access logs by hand every day
File access patterns are monitored across enterprise systems, the place where many cyberattacks first leave visible traces
Organizations without large security teams struggle to spot abnormal system activity that may signal a cyberattack. Unusual activity is often hidden among thousands of normal events, and without dedicated analysts it can go unnoticed until damage is done.
Security teams are alerted when activity deviates from normal patterns, so possible threats are checked before they spread.
Designed for organizations without large security teams, where nobody has time to review access logs by hand every day.
File access patterns are monitored across enterprise systems, the place where many cyberattacks first leave visible traces.
Sponsored by Lastline's Chief Information Security Officer, Wildstream implemented behavioral analytics and anomaly detection that monitor file access patterns across enterprise systems. The system learns what normal activity looks like and alerts security teams when behavior deviates from it, helping a small team focus on the events that matter.
Behavioral analytics learns the usual file access patterns of users and systems, giving each one its own normal.
New activity is compared with the learned baseline, and file access that deviates from normal patterns is flagged automatically.
Security teams receive alerts on deviations with enough context to decide quickly whether to investigate further.
Organizations detect abnormal system activity that may indicate a cyber threat much earlier than manual review allows.
Automated monitoring gives a lean security team visibility across enterprise systems that it could never watch manually.
Only deviations reach the team, so analysts spend their time on real warning signs rather than routine activity.