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Cyntros AI

Protect The Networks Space Operations Depend On

Stop Zero-Day And Novel Threats With Adaptive Machine Learning

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01

0 Disruption

Runs passively on your system — no interference, no gaps, no compromise to data flow or operations

02

95%

Of threats other leading vendors miss

03

97%

Effective against CISA Known Exploited Vulnerabilities

04

DoW

Operational deployment on mission-critical systems

WHY CYNTROS AI

Why Space Operations Networks Need Cyntros AI

01

Detects what others miss

Independent testing found that Cyntros AI detects malicious network activity missed by leading endpoint and enterprise security products.

  • High detection performance against activity missed by traditional tools
  • 97% effective against CISA KEV exploits
  • Identifies zero-day threats and advanced persistent threats
02

Zero operational disruption

Runs passively on mirrored traffic. No agents to install, no gaps in coverage, no interference with data flow.

  • Passive deployment (mirrored traffic)
  • No agents required
  • Integrates seamlessly with existing stack
  • Same-day deployment
03

Mission-critical network protection

Passive deployment ensures zero disruption while detecting threats against mission control, ground stations, and SATCOM networks.

  • Zero disruption for 24/7 operations
  • Protects ground stations, networks, mission control
  • Trusted by U.S. Navy for mission-critical systems
HOW IT WORKS

How Cyntros AI Detects What Others Miss, Without Disruption

01

Passive Deployment

Cyntros AI runs on mirrored network traffic, not inline. Your operations continue uninterrupted while Cyntros AI monitors for threats. No agents. No headache. No performance impact.

02

Continuous Learning

Adaptive machine learning builds a behavioral baseline from your actual network activity. Cyntros AI adapts as your network evolves, without the need for predefined rules.

03

Anomaly Detection

When behavior deviates from the established baseline, Cyntros AI flags it. Novel attacks, zero-day exploits, and advanced persistent threats are surfaced automatically.

04

Threat Intelligence

Cyntros AI identifies new attack methods, even when they target previously unknown vulnerabilities, exposing attack patterns that are invisible to other cybersecurity tools.

Trusted By

US Space Force

SOCOM

Intelligence Community

NOAA

NASA

Vantor

Kratos

Airbus

Thales

Mitsubishi

FAQ

Get Your Cyntros AI Questions Answered

What is Cyntros AI and what does it protect?
How does Cyntros AI detect threats that other security tools miss?
What is the difference between Cyntros AI NDR and CAASI?
Does Cyntros AI disrupt space operations when deployed?
How long does Cyntros AI deployment take?
What types of cyber threats does Cyntros AI detect?
Who uses Cyntros AI for network protection?
How does Cyntros AI complement traditional enterprise security tools?
Can Cyntros AI integrate with existing security infrastructure?
Is Cyntros AI available for commercial space operators and international customers?

Cyntros AI is Auria’s autonomous cybersecurity product family protecting space operations networks using patented Adaptive machine learning. It defends maritime platforms, ground stations, SATCOM networks, mission control systems, and critical infrastructure from zero-day threats, advanced persistent threats, and novel attack patterns that signature-based security misses. Independent testing confirms that Cyntros AI detects malicious network activity missed by leading endpoint and enterprise security products.

Cyntros AI uses patented Adaptive machine learning that builds behavioral baselines from live network activity rather than relying on predefined signatures or rules like traditional security tools. When network behavior deviates from established patterns, Cyntros AI automatically flags it as potentially malicious without waiting for threat intelligence signatures. This approach detects zero-day exploits, advanced persistent threats, and novel attack methods immediately rather than weeks or months later. Independent testing proves this method identifies 95% of attacks missed by leading signature-based vendors and achieves 97% effectiveness against CISA Known Exploited Vulnerabilities.

Cyntros AI NDR (Network Detection & Response) is the commercial version deployed across government and commercial space operations networks with same-day deployment and zero operational disruption. CAASI (Cognitive Autonomous Artificial System Intelligence) is the government-specific version with Phase III SBIR validation, delivered to NAVSEA (Naval Sea Systems Command) for Navy ship cybersecurity platforms and optimized for classified network environments. Both products use the same patented Adaptive machine learning foundation for threat detection.

No. Cyntros AI runs passively on mirrored network traffic, meaning it monitors a copy of your network data rather than sitting inline with live operations. This passive deployment model ensures zero disruption to satellite communications, mission control operations, ground station activities, or any 24/7 critical systems. No agents need to be installed on operational systems, eliminating performance impact and security gaps.

Cyntros AI deploys same-day in most environments because it runs passively on mirrored traffic rather than requiring agent installation across every system. Traditional cybersecurity tools often require weeks or months for enterprise deployment, agent installation, testing, and integration. Cyntros AI’s passive architecture means it can begin monitoring network traffic and building behavioral baselines immediately without touching production systems or causing operational disruption.

Cyntros AI detects direct hack attempts, viruses, malware, botnets, insider threats, advanced persistent threats (APTs), zero-day exploits, and novel attack patterns targeting previously unknown vulnerabilities without requiring predefined signatures. Independent testing shows strong effectiveness against attacks missed by leading endpoint and enterprise security products. Cyntros AI achieves 97% effectiveness against CISA Known Exploited Vulnerabilities (KEV) network exploits.

U.S. Navy deploys Cyntros AI (CAASI variant) as the cybersecurity platform for Navy ships, representing some of the most mission-critical deployments in government operations where system availability and threat detection are paramount. NAVSEA (Naval Sea Systems Command) validated CAASI through Phase III SBIR (Small Business Innovation Research), the highest level of government R&D validation and proof of operational readiness.

Independent testing confirms that Cyntros AI detects malicious network activity missed by leading endpoint and enterprise security products. The fundamental difference is detection methodology: traditional tools rely on signatures from known threats while Cyntros AI uses Adaptive machine learning to identify abnormal behavior patterns without requiring prior threat knowledge. Additionally, Cyntros AI’s passive deployment model ensures zero disruption to 24/7 operations.

Yes. Cyntros AI integrates seamlessly with existing cybersecurity stacks, Security Information and Event Management (SIEM) systems, and Defensive Cyber Operations (DCO) workflows without requiring changes to production network architecture. The passive deployment model means Cyntros AI monitors mirrored traffic while feeding alerts and threat intelligence into existing security operations center workflows and incident response processes.

Yes, with appropriate export controls. Cyntros AI NDR serves both government and commercial customers protecting space operations networks, mission control systems, ground stations, and SATCOM infrastructure. International availability is subject to ITAR (International Traffic in Arms Regulations) and export control compliance given the technology’s military applications, government validation, and deployment on mission-critical defense systems.

Let’s Talk About How Cyntros AI Can Protect Your Mission

Stop threats others miss. Learn how to deploy Adaptive machine learning with zero disruption to your operations.

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