Flarehawk Security Tool: Real-Time Threat Detection & Automated Fixes
Security teams face a daily deluge of alerts—most of which turn out to be false positives. Flarehawk’s ML-powered security tool tackles this problem head-on by automating threat investigation, reducing alert fatigue, and enabling one-click remediation. With real-time monitoring, 5-year log retention, and seamless Cloudflare integration, it’s redefining how organizations handle cybersecurity.
How Flarehawk Works
Traditional security tools generate thousands of alerts daily but lack context. Flarehawk’s per-tenant ML model learns your environment’s baseline behavior, scoring anomalies against your unique patterns—not generic thresholds. This approach cuts false positives to <1% and ensures only meaningful threats trigger alerts.
- Real-time threat detection: Analyzes logs as they stream in
- Automated investigation: No manual triage required
- One-click fixes: Apply WAF rules or rate limits instantly
- Cloudflare integration: Works with Enterprise plans and upcoming support for all tiers
Key Features for Modern Security Teams
Adaptive Machine Learning
Flarehawk’s model warms up in 15 minutes to an hour, adapting to your traffic patterns. Unlike generic rules, it evolves continuously, improving accuracy over time. This eliminates alert fatigue by focusing only on relevant threats.
Comprehensive Log Management
With 5-year log retention and no sampling, Flarehawk stores every log entry. This granular data enables deeper analysis than standard dashboards, while upcoming custom monitors and dashboards will expand its capabilities.
Seamless Integration
Support for Cloudflare Enterprise via Logpush is live, with plans to add Microsoft 365, Google Workspace, and Okta integrations soon. The Slack integration ensures security teams stay informed without leaving their workflow.
Why Flarehawk Stands Out
While tools like Datadog and LogMint focus on metrics, Flarehawk specializes in threat context. Its per-tenant approach creates a technical moat, making it ideal for security-conscious organizations already using Cloudflare.
Try Flarehawk in Open Beta
Join the open beta to experience automated threat detection and investigation. Start with Cloudflare Enterprise integration and watch for upcoming features like custom dashboards and expanded ingestion sources.
FAQs
- How does Flarehawk reduce false positives?
- Its ML model learns your environment’s normal behavior, scoring anomalies against your unique baseline. Combined with human and AI-powered validation, false positives stay below 5%.
- Can Flarehawk integrate with non-Cloudflare services?
- Currently, Cloudflare Enterprise is supported, but Microsoft 365, Google Workspace, and Okta integrations are in development.
- What’s the model warm-up time?
- Flarehawk’s ML model establishes a baseline in 15 minutes to an hour, depending on traffic volume.
- Does Flarehawk support custom dashboards?
- Custom monitors and dashboards are in the roadmap, with prioritized development for 2026.
- How does Flarehawk compare to Datadog?
- While Datadog focuses on metrics and observability, Flarehawk specializes in threat context and automated remediation for security teams.
Ready to automate your threat response? Join Flarehawk’s open beta and transform how your team handles security alerts. Visit flarehawk.com to get started.
