Collect, normalize, and analyze security data from even more of your critical SaaS applications with Panther.
You can now run Panther to collect and analyze logs from Slack, Cloudflare, and Fastly to gain security visibility into your SaaS applications and infrastructure, or monitor and get alerted for specific events.
Your infrastructure is growing rapidly and so is your attack surface area. To gain more complete visibility into potentially malicious activity, you need to monitor as many of your critical systems as possible. With our growing ecosystem of supported integrations, you can run Panther to collect and analyze more of your critical security data, detect threats in real-time, and stop attacks before they escalate into costly breaches.
How does this impact you?
Collect logs from your mission-critical data sources to detect threats in real-time and power security investigations:
Move from reactive to proactive Slack workspace monitoring
Gain a powerful view of activity in your workspaces by monitoring your Slack audit logs with Panther.
Learn more about security monitoring use cases for Slack.
Gain end-to-end visibility into your Cloudflare traffic
Collect and analyze your Cloudflare logs to monitor detailed web traffic patterns, pre-empt security issues, or monitor and get alerted for specific events, such as firewall triggers.
Learn more about security monitoring use cases for Cloudflare.
Monitor suspicious activity in your Fastly CDN
Identify suspicious behavior and anomalies in user or request patterns, and detect activity such as bot traffic in real-time that might indicate a DDoS attack.
Learn more about security monitoring use cases for Fastly.
Get started today
Panther is open source and ships with pre-built integrations for a wide variety of data sources to help you collect and analyze critical security data and bootstrap a modern detection and response program.
Gain complete security visibility into more of your critical SaaS applications with Panther’s pre-built integrations for Slack, Cloudflare, and Fastly.