Curated Threat IntelligencePowered by the Crowd
Maximize your security investments with ultra-curated data
CrowdSec is trusted by
Unmatched Data Curation
Get more than just a list of unwanted IPs
We ultra-curate our data to provide you with detailed context on the behavior of aggressive IPs and build curated lists — DDoS, botnets, VPNs, residential proxies, and more — to equip you with the intelligence you need to safeguard your services.
Real-Life Data
While blocklists are typically built on data collected from honeypots or data scraped from not-so-reliable third-party sources, our data comes from real users, real servers, in real production environments.
Data Diversity
Nothing better guarantees data quality than data diversity. The growing CrowdSec Network consists of 70,000+ active users in more than 190 countries around the world, sharing an average of 10 million signals on aggressive IPs daily.
Safeguarded Quality
We shield our data against false positives and poisoning using a combination of methods, including reporter trust score and diversity, machine profiling, cross-checking data sources to guarantee information consistency, and more.
Top-Priority Updates
Honeypots and third-party blocklists provide insufficient updates, resulting in cleared IPs remaining on blocklists and new infections taking longer to be added. You won’t get any of that here. CrowdSec Blocklists offer an average of 5% daily rotation of IPs.
Zero
False Positives
High
Protection Against Data Poisoning
5%
Daily Rotation
Plug N’ Play with Immediate Benefits
Integrating the CrowdSec Blocklists into your infrastructure is simple, effortless, and fail-proof.
2Implement the Blocklists as automated blocking rules on your existing firewall or CDN
3Enjoy an immediate reduction in security alerts and a decrease in operational costs
Philosophy and Vision
CrowdSec embraces a unique approach to cyber intelligence by leveraging the power of the crowd to provide an open source and collaborative method for data collection. This is what we call, The Network Effect of Cyber Threat Intelligence.
The reason we chose the collaborative approach is simple. Solely relying on a honeypot network could never yield the results needed for building a global CTI. Honeypots are expensive to run, and the services to which they are exposed are not as trustworthy as a real machine. Running a fake WordPress server with low SEO will only catch very spammy attackers. On the other hand, having access to real machines with thousands of visitors, hosting content of interest, and reporting real targeted attacks, is what makes the difference between an average CTI and a top-quality CTI.
80K+
Active users
190+
Countries Worldwide
12M
Signals/Day on Aggressive IPs Shared on Average
Boosting SOC Efficiency & Cutting Costs
We turn Crowd-Powered Intelligence into actionable blocklists to maximize the efficiency of your security operations and reduce your costs.
Be Proactive & Minimize Downtime
Proactively block known malicious IPs to avoid service downtime and potential data losses that can lead to a significant loss in revenue and customer trust, as well as regulatory fines.
Reduce Server Load & Egress Costs
Proactively block offensive IP addresses and make sure your servers dedicate all their resources to serving customers rather than attackers.
Optimize Incident Response Costs
Filter out background noise to reduce the number of security alerts at the SOC level by 80% and allow your security experts to focus on critical security events.
Explore the CrowdSec Ecosystem
We take data quality very seriously and nothing speaks of higher data quality than data diversity. That is why we are making sure we can collect data from a great variety of sources. The CrowdSec Security Engine, CrowdSec’s open-source software, sits at the heart of our data collection process.
The Security Engine is OS and infrastructure-agnostic and integrates with many popular tools with the CrowdSec ecosystem constantly expanding.
More integrations mean more signals on aggressive IPs generated. The higher the number of signals generated, the higher the data quality.
