Bot Management
Keeps your web apps up and fully responsive to your users
Exclude Hostile Bots From Your APIs and Web Applications
- Complete protection from hostile bots
- Automatic management of good and bad bots
- Sophisticated machine learning
- State-of-the-art behavioral analysis
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Learn more about Bot Management
Exclude Hostile Bots From Your APIs and Web Applications
Reblaze includes full bot mitigation in its comprehensive web security platform. Hostile traffic is blocked in the cloud, before it reaches the protected network.
Processing latency is minimal: ~0.5 ms.
Web applications and API servers receive only legitimate requests. They remain secure, responsive, and performant.
Multivariate Bot Detection
Incoming web traffic is subjected to a series of increasingly stringent challenges. Failure of any challenge results in that requestor being immediately blocked from network access.
Bot Management
Bot Mitigation
API Security
Step 1a: Profiling ACLs
Reblaze offers the most precise ACL capabilities in the industry. Requests can be filtered based on geolocation, network usage (VPN, proxy, TOR, cloud platform, etc.), and more.
Out of the box, this detects 75-80 percent of bot traffic. (The rate improves further once Reblaze is customized for the web app or API it is protecting.)
Reblaze’s ACL eliminates the majority of bot traffic with minimal processing workload, before deep packet inspection begins.
Step 1b: Profiling Browser Environments
Incoming HTTP requests must pass a full stack of inspections and challenges in order to be validated.
Then, headless browsers are detected. Reblaze goes beyond legacy techniques such as agent validation or javascript injection.
The platform subjects the requestor to a battery of advanced challenges, enabling Reblaze to detect even the most sophisticated headless environments.
Step 2: Primary Filtering
Primary traffic filtering begins with blacklisting, rate limiting, and signature detection. (These traditional methods cannot detect the newest bots, but they eliminate another tranche of older bots with minimal workload.)
The platform then continues with more stringent tests. Data integrity is ensured by Layer 7 inspection, including JSON payloads.
Reblaze also includes a full positive security model, and ingests web and API schemas for enforcement. A full API provides programmatic control, allowing rapid schema additions or revisions in DevOps and DevSecOps environments.
Step 3: Dynamic Filtering
Reblaze blocks requestors that display anomalous usage patterns over time, by monitoring consumption of resources in terms of quantity, pace, rhythm, types & methods, etc.
Most platforms track requests only by IP address. Reblaze identifies attackers using multiple identifiers: IP, headers, cookies, even POST body arguments. Thus, Reblaze can detect and block abuse even when an attack is performed simultaneously across multiple addresses.
The platform’s ruleset capabilities provide powerful, flexible, and granular filtering. Examples:
Dynamic rate limiting. (Example: too-frequent calls to a login URL.)
Network anomaly tracking. (Example: excessive per-request data consumption in a specified time.)
Layer 7 anomaly detection. (Example: number of requests per MIME type per minute.)
Step 4: Biometric Behavioral Analysis
For each application it protects, Reblaze builds a sophisticated, comprehensive behavioral profile of legitimate users.
It learns and understands how legitimate users interact with each app: their device and browser statistics, the typical analytics and metrics of each session, the interface events (mouse clicks, screen taps, zooms, scrolls, etc.) they usually generate, and much more.
By definition, every hostile user (whether bot or human) must, at some point, deviate from legitimate user behavior.
As soon as it does, Reblaze detects it and blocks it from further network access.