Powered by MiMo V2.5 Pro

AI-Powered Threat Detection That Thinks Like an Attacker

Real-time network traffic analysis, malware classification, and vulnerability assessment — powered by Xiaomi MiMo's long-chain reasoning engine.

2.4M
Threats Analyzed Daily
99%
Detection Accuracy
12ms
Avg Response Time
847
Zero-Days Caught

Live Threat Analysis

Upload network logs or PCAP files for instant AI analysis

🌐 Network Traffic
🦠 Malware Scan
🔓 Vulnerability
📧 Phishing

📁 Drop files here or click to upload

Supports .pcap, .csv, .log, .json — Max 50MB

🔴

C2 Beacon Activity Detected

192.168.1.45 → 185.220.101.34 | Cobalt Strike beacon, 60s jitter

CRITICAL
🟠

Lateral Movement — SMB Exploit

10.0.0.12 → 10.0.0.0/24 | EternalBlue variant, MS17-010

HIGH
🔵

DNS Tunneling — Data Exfiltration

workstation-07 → evil-domain.xyz | 847 encoded queries, 2.3MB

MEDIUM
⏱️ Analysis: 142ms🧠 Models: MiMo V2.5 Pro + 3 classifiers📊 Confidence: 98.7%

Enterprise-Grade Security

Six AI-powered modules for complete protection

🔴

Real-Time Threat Detection

Processes 2.4M events/sec with multi-step reasoning. Catches APTs, zero-days, and polymorphic malware.

🌐

Network Traffic Analysis

Deep packet inspection with behavioral analysis. Identifies C2 channels, DNS tunneling, lateral movement.

🦠

Malware Classification

Static + dynamic analysis classifies 12K+ malware families. Sandbox + anti-evasion detection.

🔓

Vulnerability Assessment

CVE scanning + exploit prediction. Prioritizes by exploitability, not CVSS.

📧

Phishing Detection

NLP email analysis with URL sandboxing. 99.2% accuracy across 14 languages.

📋

Compliance Automation

Auto-generates SOC2, ISO27001, GDPR audit reports. Maps findings to frameworks.

Trusted Across Industries

Protecting critical infrastructure worldwide

Financial Services

Fraud & APT Prevention

Real-time transaction anomaly detection for a European bank.

$4.2M
Fraud prevented/mo
99.7%
Detection rate
<8ms
Latency
Healthcare

HIPAA-Compliant Monitoring

Continuous threat monitoring for hospital networks.

0
Breaches/18mo
340K
Events/day
92%
MTTR reduction
SaaS

Supply Chain Security

Dependency scanning + CI/CD pipeline protection.

1.2M
Dep scans/day
47
CVEs caught/wk
3min
Avg patch time

How It Works

1

Ingest

Stream logs, PCAP, SIEM via API

2

Normalize

Parse 847 formats to threat schema

3

Analyze

MiMo V2.5 Pro + 3 classifiers

4

Respond

Auto-block, alert, remediate

# MiMo Security — Python SDK
from mimo_security import ThreatAnalyzer

analyzer = ThreatAnalyzer(api_key="msk-...")
result = analyzer.scan_file("traffic.pcap")

for threat in result.threats:
    print(f"{threat.severity}: {threat.name}")