AI-driven threat intelligence that detects ransomware patterns, predicts phishing campaigns, and autonomously deploys virtual firewalls — before the breach happens.
Traditional tools react after the breach. ThreatPulse acts before it.
Traditional security tools are reactive. By the time they detect an attack, ransomware has already encrypted critical files, and phishing emails have compromised credentials.
We deploy predictive AI models that analyze billions of data points across your servers and network traffic — identifying attack patterns hours before they execute, automatically isolating vulnerable systems and quarantining suspicious files.
Purpose-built models trained across billions of real attack signatures.
Deep learning models analyze traffic patterns to predict ransomware and DDoS attacks up to 4 hours before execution.
Predictive AINLP scans email headers, content and sender behavior to detect sophisticated spear-phishing attempts in real time.
NLP · Zero-dayWhen a threat is detected, ThreatPulse dynamically deploys micro-firewalls to isolate affected servers and prevent lateral movement.
Zero-TrustAI agents scan for known CVEs and zero-day vulnerabilities, then deploy tested patches without human intervention.
Auto-PatchingReduction in successful breach attempts
Faster threat response vs. traditional SOC teams
Detection accuracy with minimal false positives
Autonomous protection, no human intervention
"The average cost of a data breach is $4.88M. ThreatPulse prevents them."
ThreatPulse fits every security posture and infrastructure.
Fortune 500 companies with complex, multi-cloud infrastructures needing unified threat intelligence.
Managed service providers delivering automated security as a service to their clients.
Overworked SOC analysts get AI-assisted triage and automated response, reducing alert fatigue.
Zero-trust architecture meets FedRAMP compliance with autonomous threat hunting.
"ThreatPulse detected a zero-day ransomware variant 4 hours before it would have executed. The autonomous firewall saved us from what would have been a $6M disaster."
"We were drowning in 5,000+ daily alerts. ThreatPulse reduced false positives by 92% and automated 80% of our patching. Our SOC team can finally breathe."
"The NLP-based phishing detection caught a sophisticated executive impersonation attack that bypassed our MFA and email filters, saving our CFO from a $2M wire fraud."

Former NSA cybersecurity lead. 20+ years in threat intelligence and zero-day research.

AI/ML PhD specializing in deep learning for network anomaly detection. Former Google Brain.

Former red-team lead at CrowdStrike. Builds the autonomous patching engine.

Security product veteran. Former PM at Palo Alto Networks. Makes AI accessible to SOC teams.
Tell us about your security infrastructure and we'll show you what ThreatPulse can protect.
Deploy ThreatPulse in hours, not weeks. Protect your infrastructure with autonomous AI defense.
We integrate with your existing SIEM, firewalls and cloud APIs in under 4 hours.
Our models learn your network baseline and threat patterns within 24 hours.
14-day free trial with full autonomous threat hunting and patching. No commitment.