AI‑Driven Security at Cloud Speed

CriticalRed combines GPU‑accelerated analytics, a unified data model, and intelligent automation to detect and stop advanced threats—before they become breaches. Our next-gen SIEM platform with adaptive AI security is one of the first autonomous SOC solutions that works at machine speed so you don't have to.

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Why CriticalRed?

GPU‑Accelerated Detection

Real-time Security Analytics

Harnesses GPU‑accelerated threat detection to analyze millions of events per second without breaking a sweat. High-performance computing means real-time threat detection and response at a scale previously impossible on CPUs.

Self-Learning AI System

Adaptive AI Security Platform

Self‑learning cybersecurity models continuously retrain on your environment's data, spotting behavioral anomalies and novel attack patterns that static rules always miss. The system gets smarter every day, adapting to new tactics automatically.

Entity Graph Analytics

Graph-Based Threat Correlation

Links users, hosts, IPs, and files in real time with a graph database to surface the full attack storyline – not just isolated alerts. By correlating events across your entire stack, CriticalRed unveils advanced persistent threats (APTs) and lateral movement as they unfold.

LLM-Powered Security Automation

Autonomous Incident Response

LLM‑powered security agents investigate, enrich, and respond to incidents autonomously. From triaging alerts to executing automated threat containment, the AI agents orchestrate response playbooks at lightning speed – slashing dwell time from hours or days to seconds.

Platform Overview

Under the hood, CriticalRed's enterprise cybersecurity platform is composed of cutting-edge components working in concert:

  • Data Ingestion: Unified log collectors intake data from all sources at any volume for comprehensive 24/7 security monitoring.
  • AI Pipeline: GPU-accelerated streaming pipeline for real-time inference and deep learning security analytics.
  • Common Data Model: Integrated OCSF-compatible schema for unified correlation and advanced threat detection.
  • Graph Database: Enterprise-scale graph DB for contextual knowledge and entity graph analytics.
  • Machine Learning Models: Suite of ML models for continuous evaluation, enabling predictive security AI.
  • Detection Engine: Unified engine combining machine learning in cybersecurity with rule-based heuristics.
  • Autonomous Response Agent: LLM security agent for instant response and cybersecurity automation with AI.

Key Use Cases

Autonomous SOC Solution - 24/7 Security Monitoring
Autonomous SOC Solution

Fully Autonomous SOC Platform

CriticalRed serves as a round-the-clock SOC automation tool. It monitors, detects, triages, and responds to threats 24/7 without human intervention. This is ideal for organizations aiming to achieve hands-off security operations or struggling with talent shortages and alert fatigue. Your security team can finally sleep at night, knowing a tireless AI-driven threat detection system is on watch. The self-learning cybersecurity system continuously learns from new threats and adapts its detection capabilities, ensuring your defenses grow stronger over time.

In-house SOC Replacement - Security Orchestration and Automation
SOC Automation Tool

Replace or Augment Detection Teams

By automating the entire detection and response workflow, CriticalRed can take the place of a traditional detection engineering team. Our XDR platform reduces reliance on large human analyst teams, freeing up your experts to focus on higher-level strategy and intelligent threat hunting. For lean teams, CriticalRed provides immediate expert-level capabilities; for larger teams, it acts as a force multiplier that handles the heavy lifting through AI-based incident response.

APT Detection System - Advanced Threat Detection Software
Advanced Persistent Threat Protection

Real-Time APT Detection System

Advanced Persistent Threats often dwell in networks for weeks by evading siloed tools. CriticalRed's threat detection and response platform was built to catch these sophisticated attacks in real time. The combination of graph-based threat correlation and behavioral anomaly detection means even subtle, slow-burning attack patterns (credential abuse, lateral movement, data exfiltration) are identified as they happen. Security leaders gain the power to stop nation-state and advanced threats before damage is done, with our cyber defense platform for enterprise.

Experience industry-leading solutions
from one powerful enterprise cybersecurity platform

CriticalRed Cloud Shield - Agentless Cloud Monitoring
CriticalRed™ Cloud Shield

Secure every workload

Eliminate cloud breaches with GPU‑accelerated analytics, agentless cloud monitoring, and one‑click automated threat containment. Our AI-driven threat detection helps you stay ahead of sophisticated attacks.

CriticalRed Identity Guardian - AI-Based Incident Response
CriticalRed™ Identity Guardian

Stop identity attacks

Gain real‑time visibility and proactive protection against credential theft, MFA bypass, and lateral movement across every user account. Our behavioral anomaly detection spots suspicious activity immediately.

CriticalRed Autonomous SOC - Next-Gen SIEM Platform
CriticalRed™ Autonomous SOC

Modernize your security operations

Replace manual detection and response with an always‑on AI SOC platform that triages and remediates threats in seconds. Our next-gen SIEM solution dramatically reduces alert fatigue and accelerates response times.

Architecture Summary

CriticalRed's architecture seamlessly fuses massive data processing with intelligent reasoning. First, data from across your enterprise – logs, events, and alerts – is funneled into a high-speed ingestion pipeline. This pipeline, optimized with GPU-accelerated threat detection, normalizes the data and applies machine learning in cybersecurity on the stream. Suspicious events are flagged in milliseconds, and all telemetry is indexed into a graph-backed datastore that retains rich context for comprehensive 24/7 security monitoring.

As data flows in, the detection engine correlates related signals in the graph, piecing together signs of compromise that would be missed in isolation. When a potential incident is identified, an AI reasoning module kicks in to analyze the situation. It gathers additional context, summarizes the incident in plain language, and decides on the best course of action using deep learning security analytics.

Finally, the autonomous response agent executes the response – whether that means isolating a machine, disabling an account, notifying a stakeholder, or all of the above. All of this happens in an automated loop, at machine speed and cloud scale, delivering end-to-end threat neutralization without manual effort, making CriticalRed a true AI-based incident response system.

Our Mission

At CriticalRed, our mission is to redefine cybersecurity defense through autonomy and intelligence. We believe every organization, large or small, should have access to world-class threat detection and response platform without the overhead of big teams or complex tools.

By leveraging the latest advances in AI cybersecurity – from deep learning to large language models – our vision is to deliver an autonomous SOC solution that stops threats instantly and relentlessly. The CriticalRed platform combines XDR capabilities with SIEM solution functionality, creating a unified approach to security. We are committed to empowering defenders with technology that works for them, so breaches are prevented and businesses can operate with confidence in a hostile cyber landscape.

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