Detect and Correlate Threats Across All Your Security Data
Data Exfiltration
Insider Threats
Privilege Escalation
Anomalous Activity Detection
Advanced Persistent Threats (APTs)
Malware and Ransomware Attacks
Data Exfiltration
Detect large data transfers or unusual data access patterns. Find anomalies in your cloud logs based on size and frequency of data being moved or accessed, especially to/from unusual external IP addresses or at odd hours.
Log sources
Network traffic logs
File access logs
Cloud service logs
Insider Threats
Detect unauthorized access to sensitive data, unusual after-hours activity, or anomalous data transfers that could indicate malicious insider behavior.
Log sources
Access logs
File activity logs
Email logs
Privilege Escalation
Identify signs of credential misuse, such as multiple failed login attempts, logins from unusual locations, or access to sensitive resources that are not typically used by a given user.
Log sources
Authentication logs
VPN logs
Anomalous Activity Detection
Flag deviations from a baseline of expected normal behavior. This can include unusual access patterns, file movements, or network traffic.
Log sources
Network logs
Application logs
User behavior logs
Advanced Persistent Threats
Employ complex correlation rules and heuristic analyses to identify low-and-slow attack patterns, lateral movement, and other stealthy behaviors typical of APTs.
Log sources
Network logs
Endpoint detection and response (EDR) logs
Server logs
Malware and Ransomware Attacks
Detect signatures of known malware and ransomware, as well as behavioral indicators such as mass file encryption or changes to registry keys.
Log sources
Antivirus logs
File system logs
Registry logs
Detect large data transfers or unusual data access patterns. Find anomalies in your cloud logs based on size and frequency of data being moved or accessed, especially to/from unusual external IP addresses or at odd hours.
Log sources
Network traffic logs
File access logs
Cloud service logs
Detect unauthorized access to sensitive data, unusual after-hours activity, or anomalous data transfers that could indicate malicious insider behavior.
Log sources
Access logs
File activity logs
Email logs
Identify signs of credential misuse, such as multiple failed login attempts, logins from unusual locations, or access to sensitive resources that are not typically used by a given user.
Log sources
Authentication logs
VPN logs
Flag deviations from a baseline of expected normal behavior. This can include unusual access patterns, file movements, or network traffic.
Log sources
Network logs
Application logs
User behavior logs
Employ complex correlation rules and heuristic analyses to identify low-and-slow attack patterns, lateral movement, and other stealthy behaviors typical of APTs.
Log sources
Network logs
Endpoint detection and response (EDR) logs
Server logs
Detect signatures of known malware and ransomware, as well as behavioral indicators such as mass file encryption or changes to registry keys.
Panther’s architecture is perfect for modern technology organizations: easy to roll out, scalable, and with an interface that helps us centralize and expand several of our core security & compliance operations.
Aaron Zollman
CISO, Cedar
Panther takes vast amounts of AWS security logs and provides normalization, real-time analysis, and a scalable data warehouse to store and query them.
Dudi Matot
Principal Segment Lead, Security, AWS
With Panther, we’re able to enforce secure configurations across our Cloud Managed services with daily cloud scans and real-time alerts for misconfigurations, incompliant resources, and suspicious activity.
Matt Jezorek
VP of Security & Platform Abuse, Dropbox
We ran 156 IOC searches over the span of a couple of months, and our Panther instance handled it perfectly. Panther made a noticeable impact on the time it took to complete searches and the number of searches we could run concurrently.
