Organizations are lacking visibility and the ability to detect and respond to malicious events. Airgap Ransomware Early Detection can monitor, detect, and isolate malicious behavior with instant IOC alerts.
Airgap's cloud-based threat detection engine uses machine learning to detect when a device is operating outside of its normal “known good” baseline. With the historical threat intelligence and attack characteristics that are mapped from MITRE ATT&CK® framework. Airgap's Zero Trust Isolation™ platform can fortify your networks all the way from pre-emptive detection to actionable threat containment.
According to Microsoft, 96.88 percent of all ransomware infections take under four hours to successfully infiltrate their target.
Ransomware is involved in 10% of all breach events (2021 Verizon DBIR)
Ransomware attackers target remote employees using potentially vulnerable remote access services like Remote Desktop Protocol (RDP) services.
Ransomware attacks are estimated to cost over 1 billion dollars annually
Average downtime from a ransomware event is 23 days
Direct ransomware average cost of attack for a small business paying the ransom is $713,000.
The highest ransom paid by an insurance company was $40M
Detect Ransomware Behaviors
SMB lateral movement
Ransomware file encryption
Malicious access patterns
Deviations from baseline behaviors