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PADAS

Real-Time Security Event Processing

TransformFilterDetectAggregate

PADAS empowers organizations to seamlessly process and analyze streaming data in real-time, enhancing your SIEM and analytics platforms with advanced detection capabilities.

Enhanced Scalability

Handle trillions of messages per day with low latency using our distributed processing architecture and advanced stream processing capabilities.

99.99% uptime | <10ms latency
Cost Efficiency

Reduce operational costs by offloading data processing tasks from expensive SIEM systems through intelligent data filtering and pre-processing mechanisms.

Up to 60% cost reduction
Real-Time Threat Detection

Improve response times and reduce risks by detecting security threats in real-time using advanced pattern matching algorithms and behavioral analysis.

Detection in <1 second
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System Architecture

Explore our robust and scalable system architecture designed for high performance and reliability

PADAS Architecture
🔍Click to enlarge

Overview

Transform your security infrastructure with real-time streaming analytics

Real-Time Processing

Transform, analyze, and filter terabytes of streaming data in real-time with our robust Confluent Platform integration.

< 10ms
Latency
1M+
Events/Sec
KafkaConfluentStreams
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Enhanced Security

Boost threat detection accuracy and speed while optimizing your SIEM infrastructure for maximum efficiency.

%
Detection
< 1min
Response
MITRE ATT&CKSIEMAI/ML
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Confluent Certified

Built and verified on the leading data streaming platform, ensuring enterprise-grade reliability and performance.

%
Uptime
24/7
Support
EnterpriseCertifiedVerified
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Explore How It Works

HowPADASWorks

Discover the seamless data processing architecture

that powers next-generation streaming

Input Kafka Topic
Kafka topics that serve as data sources. These topics receive incoming data streams that will be processed by the Padas pipelines.

Input Topic

Kafka Logo
Input Topic 1
Input Topic 2
PADAS
Core processing unit of Padas. Contains multiple pipelines that transform and analyze data streams using various tasks and operations.
Padas Logo

Topology 1

Pipeline 1

Filter
Transform
...

Topology 2

Pipeline 1

Aggregate
...

Pipeline 2

Enrich
...
Output Kafka Topic
Destination Kafka topics where processed data is sent. These topics store the results of pipeline processing for further use.

Output Topic

Kafka Logo
Output Topic 1
Output Topic 2
Output Topic 3

Shaping the Future of Security

Our Vision

Empowering organizations to seamlessly process and analyze streaming data in real-time, enhancing SIEM and analytics platforms with advanced detection capabilities.

Real-Time Processing
Advanced Analytics

Our Mission

Transform, filter, and analyze terabytes of streaming data with cutting-edge technology, enabling organizations to detect and respond to security threats in real-time.

Automation
Scalability

Our Expertise

Built on the robust Confluent Platform, our team of security experts, data scientists, and software engineers develops cutting-edge solutions for real-time threat detection. We're proud to be part of the Build with Confluent initiative, ensuring our solutions meet the highest standards of performance and reliability.


  1. Core Capabilities

    1. Key Features & Benefits
      1. Real-Time Data Processing

        Transform, filter, and analyze massive volumes of data in real-time, ensuring timely and actionable insights.

      2. Enhanced Threat Detection

        Boost the accuracy and speed of threat detection with efficient data processing, minimizing false positives and improving response times.

      3. Scalable Architecture

        Seamlessly handle terabytes of streaming data without compromising on speed or performance, no matter your data load.

      4. Reduced SIEM Load

        Offload data processing tasks from your SIEM, freeing up resources and reducing operational costs while maintaining high performance.

      5. Cost Optimization

        Streamline your security operations and reduce costs by processing only relevant data, avoiding vendor lock-in, and maximizing SIEM efficiency.

    2. Integration & Flexibility
      1. Flexible Integrations

        Easily integrate with existing platforms and leverage pre-built rules aligned with the MITRE ATT&CK Framework.

      2. Seamless Data Integration

        Automate data transformation from various sources, simplifying complex data pipelines and ensuring smooth data flow between systems.

      3. Vendor Independence

        Retain flexibility and control over your security operations with a platform that integrates with multiple SIEMs, avoiding long-term vendor lock-in.

    3. Future-Proofing & Adaptability
      1. Customizable Rules

        Create and deploy custom detection rules using PADAS Domain Language (PDL), with no dependency on your current SIEM infrastructure.

      2. Scalable and Modular Design

        Expand and adapt your security infrastructure as your organization grows, with a platform designed to evolve with your needs.

      3. Long-Term Flexibility

        Maintain the ability to integrate new technologies and data sources as they emerge, ensuring your security operations remain cutting-edge.

    4. Professional Support & Services
      1. Technical Support

        Assistance with errors or issues in your Padas environment for long-term health.

      2. Professional Services

        Consulting for architecture, deployment, configuration, and operations to ensure a production-ready cluster.

Experience The Future

Witness the power of PADAS in this quick showcase.Innovation meets efficiency.

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Try PADAS now

Frequently Asked Questions

What is PADAS?
PADAS is a Kafka Streams application that performs data transformations and runs real-time queries (PDL - Padas Domain Language) on streaming data. The goal is to keep things simple and take some of the burden away from existing SIEM and Analytics platforms by transformations and detections in order to create alerts, enriched, transformed, and/or aggregated results.
How does PADAS work?
PADAS runs transformation and detection pipelines on streaming data for any number of input topics. Transformations can perform enrichment, filtering, field extractions while detection rules enable creation of alerts and populates one or more topics. We have built a tool to convert Sigma v2 rules to PDL so that SIEM and/or analytics platforms can consume these alerts with minimal efforts. PADAS Manager provides an easy-to-use user interface for managing these configurations.
Who are your competitors?
In theory, any analytics or logging solution can be considered as a competitor; however, we'd like to consider PADAS as an augmenter to these technologies. [...]
How does PADAS handle real-time data processing?
PADAS leverages the power of Confluent's streaming architecture to process terabytes of data in real-time. [...]
Can I customize detection rules in PADAS?
Yes, PADAS allows you to create and implement custom detection rules using PADAS Domain Language (PDL). [...]
What types of data sources can PADAS integrate with?
PADAS integrates with a wide range of data sources, including platforms like Winlogbeat, Splunk, Elasticsearch, SNMP, Syslog, AWS, and more. [...]
How does PADAS contribute to cost reduction?
PADAS reduces costs by optimizing the data processing workflow before it reaches your SIEM. [...]
Is PADAS dependent on a specific SIEM vendor?
No, PADAS is vendor-independent. It integrates with multiple SIEM platforms, [...]
How does PADAS ensure future-proof security operations?
PADAS is designed with a scalable and modular architecture that allows your security infrastructure to grow and adapt as your organization evolves. [...]
What kind of support is available for implementing PADAS?
We provide comprehensive support, including detailed documentation, integration guides, and personalized assistance. [...]
Can PADAS improve the accuracy of threat detection?
Absolutely. PADAS enhances the accuracy of threat detection by processing data in real-time, applying advanced filtering, and using customizable detection rules. [...]
How can I get started with PADAS?
Getting started with PADAS is easy. You can request a personalized demo through our website [...]
How is PADAS any different from logging or analytics solutions?
PADAS is NOT a logging or analytics solution but it augments the value of such systems. There is no limit on ingest volume as the solution utilizes robust Confluent Kafka as streaming platform with simple/intuitive queries. [...]