Technology Overview
Step inside the world’s most advanced autonomous contextual detection system and see how context transforms cybersecurity.
Contextal Platform
We understand why existing security solutions no longer work.
Lack of Broader Context
They usually analyze threats in isolation, missing complex relationships and signals that indicate sophisticated attacks.
Detection Mechanisms
Are Rigid And Limited
Most systems can’t adapt to new or evolving threats without manual updates or reconfiguration.
Pattern-based systems can be easily evaded and have a poor, short-lived efficacy.
Security & Scalability Issues
Legacy security solutions weren't built for the cloud, often leading to gaps in protection, performance, and reliability.
Most popular industry solutions were created decades ago, using unsecure frameworks and their core technology has only been maintained over time.
Every second counts
A single advanced attack can cost millions in breach recovery, legal fines, and lost business. Outdated detection mechanisms increase the risk of brand damage and customer churn.
Introducing Contextal Platform
The most comprehensive autonomous contextual detection system available today.
Contextual Threat Detection
Focused from the ground-up on a broader perspective by analyzing and correlating
- relationships
- metadata
- time
- past events
- anomalies
across the entire attack surface.
Broad data coverage with 27+ advanced processors capable of handling all popular data formats.
Designed from the ground up as a cloud-native solution, ensuring scalability, performance, and security in modern cloud environments.
Developed in Rust - a memory safe language - with isolated, containerized components and modular architecture for secure, high-performance, and horizontally scalable deployments.
AI Powered
Autonomous Threat Detection
Contextal Platform uses customized AI models across the entire detection pipeline - from image classification and text analysis to brand recognition and final convictions - enabling autonomous detection of new and unknown threats.
Contextual Detection
Contextal Platform analyzes hundreds of contextual indicators. See it in action.
Example Problem
Threat actors often embed malicious URLs deep within files.
In this case, the URL is hidden in a QR code inside a multi-layered PDF, making it hard for traditional systems to detect.
Solution
Contextal Platform autonomously detects malicious content and abuse patterns across all analyzed data.
QR codes are not inherently malicious - they are widely used in business, marketing, and personal communications. However, without contextual analysis, threats hide in plain sight. Contextal Platform automatically asks the right questions: Where does the QR code point? When was the destination domain registered? Does it match the context of the surrounding email content? Protecting organizations against QR code phishing - known as quishing.
What's next?
Contextal Console
Built on Top of Contextal Platform
Advanced Threat Research & Intelligence. Endless features in a beautiful interface.
- Access Data Stored in Contextal Platform
- Visualize & Analyze Data Graphs
- Search for Local & Remote Indicators
- Generate PDF Reports
