About Chawkr
About Chawkr
Threat intelligence security teams can actually use
We are a team of practitioners dedicated to making high-quality threat intelligence accessible. Our community-first approach helps defenders share knowledge, collaborate, and stay ahead of emerging threats.
Our story
Mission
Chawkr exists to close the gap between high-end threat intelligence and what defenders can actually use day to day. The founders spent years as threat hunters and incident responders, so we know the tension between chasing fast-moving threats and keeping a workflow a team can sustain.
Approach
We pair academic research methods with infrastructure analysis, digging past surface-level indicators to find the patterns, context, and attribution underneath. That's what tells a team where a threat came from and where it's headed.
Impact
Today, organizations from small startups to large SOCs rely on Chawkr to anticipate attacks and cut risk.
What we do
Threat intelligence analysis
We investigate APT groups, malware campaigns, and emerging threats, then turn the raw data into intelligence defenders can act on right away.
IOC sharing & validation
We provide curated indicators enriched with context, attribution, and validation. That cuts false positives so defenders spend their time on what matters.
Community platform
We run a space where security professionals connect, share knowledge, and strengthen each other's defenses.
Our flagship product: ClusterHawk
ClusterHawk is our research-backed approach to threat intelligence in product form: it turns raw IP data into actionable intelligence using machine learning.
Machine learning
Proprietary weighted ensemble analysis methods process 100-5000+ IPs with GPU acceleration, then run deep analysis and pattern discovery on the results
Explainable analysis decisions
SHAP-based explainability provides transparency into analysis decisions and confidence scores
Automated reports
Generate reports with actionable intelligence and defensive recommendations
Research-backed intelligence
ClusterHawk's proprietary weighted ensemble analysis methods are grounded in academic research and validated through peer-reviewed methodologies.
Academic foundation
Built on established machine learning frameworks and cybersecurity research principles, with SHAP-based explainability for transparent decision-making and statistical analysis.
Peer-reviewed analysis
Every cluster analysis includes validation with confidence scores, anomaly detection, and statistical checks, so security teams get insights they can act on.
Experience ClusterHawk
See our threat intelligence platform in action or request full demo access.
Validated in real-world operations
Security research organizations have used ClusterHawk to analyze and validate threat intelligence in real-world threat hunting scenarios.
Our values
Transparency
We believe in open, honest intelligence sharing that benefits the global security community.
Community first
Built by security professionals, for security professionals. Community needs guide everything we do.
Professional excellence
We take threat analysis, attribution, and platform security seriously.
Actionable intelligence
Every insight we deliver is meant to be used, not just read. It should help defenders respond faster.
Get in touch
Have questions about our intelligence or interested in collaborating? We'd love to hear from you.
Email: [email protected]