Preemptive Zero-Day Attack Prevention Powered by Self-Learning AI
Nothreat stops zero-day threats before signatures exist, before patches are released, and before traditional security detects them. Autonomous AI learns attacker behavior in real time through patented deception technology, delivering over 99% protection against new attacks with no human intervention.
Why Zero-Day Attacks Bypass Traditional Security
A zero-day attack has no patch, no signature, and no detection rule. Attackers exploit the gap between discovery and fix — and most defenses were never designed to handle it. Here is where they break down.
No signatures exist
Intrusion prevention systems rely on known threat signatures. For zero-day exploits, detection rules have not yet been developed — and creating effective signatures often takes days or weeks after a threat is discovered.
Firewalls pass the threat
Traditional firewalls permit traffic that matches existing rule sets. Zero-day payloads arrive through trusted protocols and pass inspection because no rule exists to block them.
Visibility without prevention
Many IoT and OT security tools focus on asset discovery and network segmentation. They see devices — but cannot prevent an unknown exploit from executing on the endpoint.
Patching comes too late
Even after a vulnerability is disclosed, patches take weeks to develop and deploy. Attackers who gain access before patching can maintain persistence even after the fix is applied.
Alert noise hides real threats
SIEMs and SOCs are constrained by data volume and high false-positive rates. Zero-day signals get buried under noise, delaying response from days to weeks.
Edge devices are unprotected
Resource-constrained devices cannot run traditional antivirus or EDR agents. They remain exposed to zero-day attacks with no viable defense layer.
How Nothreat Stops Zero-Day Attacks
Nothreat detects unknown attacks by observing real attacker behavior in isolated environments, extracting threat intelligence automatically, and enforcing blocks across production systems — before signatures, patches, or CVEs exist.
These capabilities replace signature-dependent security with autonomous, behavior-driven prevention.
Isolated Attack Capture
High-fidelity decoys attract attackers and capture zero-day exploits in isolated environments, where any interaction is immediately treated as malicious.
Behavior-Based Detection
Nothreat identifies zero-day attacks through micro-behavioral analysis of attacker activity and kill-chain progression, not by matching against known threat databases.
Continuous Self-Learning AI
Built on continuous incremental learning, the AI adapts to new attack techniques in real time — learning from each encounter without losing prior knowledge.
Autonomous, Instant Prevention
Validated protections are enforced automatically across firewalls, endpoints, edge, and cloud — stopping the attack everywhere in seconds.
Zero-Day Attacks Stopped Before Public Disclosure
Proven in live enterprise environments across telecom, pharma, and critical infrastructure.
Nothreat closes the zero-day window by learning from real attacker behavior in isolated environments and enforcing prevention automatically across production systems. Here are verified results.
Proven Zero-Day Defense Across Critical Industries
Telecommunications
11.2× more attacks blocked, 93× more malicious IPs identified. Zero false positives in a live NGFW deployment.
Pharmaceuticals
9.1× more attacks blocked compared to standalone enterprise firewall. Pre-breach detection of reconnaissance activity targeting IP assets.
Mining & Energy
5.4× more attacks blocked. Zero-day exploits detected on smart power grid devices and industrial control systems.
Zero-Day Protection: Platform Components in Action
Each component plays a specific role in the zero-day kill chain — from capturing unknown exploits to enforcing protection across your entire infrastructure.
Nothreat CyberEcho
Turn Adversaries into Informants with Nothreat's patented undetectable clone traps - high-fidelity, undetectable mimics of real-world IT services, IoT and edge devices, applications, and HTTPS servers – capturing adversary behavior from the first move.
Nothreat™ Platform
The Self-Learning Cybersecurity AI, built on continuous incremental learning, serves as the central nervous system for total autonomous protection against advanced and zero-day threats. It is the foundation for a preemptive defence strategy, helping organisations prevent cybersecurity incidents.
Nothreat AIoT Defender
Nothreat™ AIoT Defender is an ultra-light, ultra-secure, software-based firewall for IIoT edge devices, deployed directly within your hardware for real-time, adaptive protection. Utilizing continuous learning AI, this edge-AI firewall achieves up to 97.3% detection accuracy against zero-day threats within 12 minutes, eliminating the need for additional hardware firewalls and reducing infrastructure complexity.
Nothreat ThreatShield
Nothreat ThreatShield delivers real-time, AI-driven threat intelligence feeds that integrate seamlessly with over 20 Next-Generation Firewalls (NGFWs), including Cisco, Fortinet, and Palo Alto, via one-line configuration. By providing continuously updated lists of malicious IPs, domains, and hash signatures, ThreatShield enforces automated, ultra-fast blocking of cyber threats, hardening enterprise firewalls 5–10x on average.
Zero-Day Prevention in Numbers
Measured in live enterprise deployments across telecom, pharmaceutical, and critical infrastructure environments.
>99%
new attack (zero-day) protection
40 days
threat blocked before CVE publication
<1%
false-positive rate
Why Trust Nothreat?
— US-patented deception technology
— Peer-reviewed scientific validation (Springer, Applied Intelligence, 2022)
— Independently audited security posture — view our Trust Center
— On-premise deployment: data never leaves your perimeter
— Vendor-agnostic integration with Cisco, Palo Alto, Fortinet, Splunk, Microsoft Sentinel, and 20+ other NGFWs, SIEMs, and EDRs
— No changes to the current infrastructure
NothreatTM Threatscape 2025 Report
NothreatTM Threatscape 2025 Report
The web and Industrial IoT threat landscapes are no longer a game of simple probes and easily-detected malware. Our analysis of over 16 million automated attacks reveals a stark reality: the sheer volume of attacks is overwhelming, and the sophistication is rapidly increasing.