Contextal Platform

Technology Overview

Step inside the world’s most advanced contextual detection system and see how context transforms cybersecurity.

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 Outdated detection mechanisms increase the risk of brand damage and customer churn.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 and advanced 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.

Contextual threat detection block quishing

Broad data coverage with 27+ advanced processors capable of handling all popular data formats.

Cloud-native Solution

Designed from the ground up as a cloud-native solution, ensuring scalability, performance, and security in modern cloud environments.

Security and Scalability

Developed in Rust - a memory safe language - with isolated, containerized components and modular architecture for secure, high-performance, and horizontally scalable deployments.

AI Powered & Optimized

AI-driven image classification and text processing run locally, ensuring complete data privacy.

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

With our custom ContexQL language, you can define detection scenarios that cover entire threat classes.

Contextal Platform can easily block all emails containing newly registered domains within QR codes, preventing QR-code phishing (quishing).

Built to Solve Real Problems

Would You Like to Play WithContextal Platform On Your Own?

ContexQL & Scenarios

Scenarios

Scenarios are compact programs written in our ContexQL language.

Think of them as flexible recipes for detecting advanced threats. You create a recipe that triggers a specific action if matched.

Provide scenario name & description.
Write a query with ContexQL.
Set an action such as BLOCK, ALERT, ALLOW, QUARANTINE.
Optionally extend your scenario with more advanced settings.
Deploy & stay protected!

Actions

Actions are triggered by scenarios. They define how to handle specific data objects based on contextual insights.

Graph Representation

Imagine a PDF document made up of many layers. We build a graph to represent it.

Action Types

Each scenario includes an action type that determines the system’s response.

Matching Mechanism

Contextal Platform instantly evaluates thousands of scenarios.

When analyzing the contextual graph, the actions, whether present, missing or combined, lead to clear and actionable results.

ContexQL

Meet ContexQL language designed & built for contextual detection.

Create actionable
detection scenarios.

Perform data searches by querying the remote database to find relevant matches.

Professional Service

We create expert scenarios to keep you protected against the latest threats. Need more control? Create your own too.

Created by Our Expert Team

Scenarios focus on the latest and emerging threats, as well as those predicted our analysts.

Customizable Detection Categories

We can help customize scenarios to fit your organization’s specific requirements.

Automatically Deployed

New scenarios are automatically deployed to the platform, delivering timely, high-quality threat protection and intelligence to organizations.

Stay Safe With Contextal Platform

See the Power of Scenarios Live in Action

Sample Scenarios

Contextual Way

Contextal Platform detects threats by connecting the dots between what’s happening locally and across your entire environment.

Local Context

Focused on current input data.
Captures all information and relationships within the current data.
Represented as a graph of relations.

Global Context

"Common Knowledge"
Aggregates graphs over a specifed time window into a graph database.
Enables correlation and threat pattern recognition with the current local context.

Example Problem

Detecting encrypted campaigns. See the challenges of encrypted threats and how to address them contextually.

Problem

Some threat campaigns rely on encrypted content to evade detection.
Passwords may be shared in the same message or via external channels.
Traditional security solutions are often unable to analyze encrypted content.

Solution

Contextal Platform extracts potential passwords from text while processing data objects.
Encrypted files (e.g., PDFs, Office, archives) are detected at the final processing stage.
If found, they’re reprocessed using the most suitable extracted passwords. On success, a DECRYPTED symbol is added.
No DECRYPTED symbol may signal an anomaly or evasive behavior.

Most security tools fail if encrypted content cannot be inspected. For us, it’s a yet another indicator!

Solution - see the example scenario below.

In Local Query we determine an email contains an encrypted attachment that wasn’t auto-decrypted
In Global Query we check if Contextal Platform is currently observing more emails like that
Natural language sentiment analysis helps correlate emails belonging to the same campaign.
If a trend is confirmed, the ALERT action gets triggered.

Platform Anatomy

See what happens from the moment a data object enters the system to detection and action triggering.

Contextal Platform receives a data object for contextual analysis.
Processing runs automatically and in real time.
The platform collects any valuable information (metadata, anomalies, and other inidicators) and assembles a relationship graph.
Based on detection scenarios, actions are triggered and returned as a verdict.

Enterprise Services & Licensing

Speak to our team and get started with Contextal Platform.

We plug it in. You stay protected.

Cluster Deployment (On-Premise & Cloud)
Performance Fine Tuning
Automatic Scenario Updates from Our Analysts

Integration with Existing Software Stack
Detection Scenarios with Customizable Categories
Contextal Console Business Edition with Enterprise Features

Commercial Support
Documentation
Custom Features

Get a Quote

We tailor enterprise services and licensing to match your organization’s goals, structure, and scale. Let’s talk - connect with our sales team or book a demo to define the ideal setup for your organization.

What's next?