SOC Intelligence Active

AI-Powered Email Threat Detection Platform.

Analyze suspicious emails, detect phishing attempts, and generate forensic intelligence reports with our automated security platform.

Heuristic Engine

Real-time threat logic

<25ms Analysis

Rapid parsing core

Forensic Ready

Automated JSON reports

System Telemetry
SOC Node · Analysis Engine v2.4

Emails Scanned

1.2k

Avg Latency

13.2 ms

Threats Found

48

Active Analysis UnitsLatency / Load
Phish-Scan-v1Active

Email Parsing

12.4 ms
Util: 82.1%
Geo-Lookup-APIActive

IP Intelligence

18.9 ms
Util: 74.5%
Threat-Score-AIOptimal

Risk Scoring

8.2 ms
Util: 58.9%
Heuristic Engine Verified
Status: Operational
Platform Capabilities

Core Security Capabilities

Enterprise-grade email threat detection, forensic intelligence, and automated geolocation telemetry.

THREAT ENGINE
Email Threat Detection

Heuristic analysis of email headers and body content to identify phishing, malicious links, and urgent social engineering.

SCAN: HEURISTIC | RISK: DYNAMIC
AI-POWERED SCAN
TELEMETRY
GeoLocation Intelligence

Extracts public IP addresses from headers to map sender origin, ISP data, and approximate city-level coordinates.

IP: PUBLIC | GEO: API-VERIFIED
GLOBAL MAPPING
FORENSICS
Forensic Report Gen

Generates comprehensive investigation reports with risk scores, indicator summaries, and recommended security actions.

EXPORT: PDF | JSON | SECURE
INSTANT EXPORT
INTELLIGENCE
Threat Intelligence

Cross-references extracted URLs and IPs against known threat databases to flag high-risk infrastructure.

DB: THREAT-FEED | STATUS: LIVE
REAL-TIME CHECK
SECURITY
Secure Parsing Engine

Isolated email parsing environment that prevents execution of scripts, attachments, or malicious HTML payloads.

SANDBOX: ISOLATED | SAFE
ZERO-EXECUTION
DASHBOARD
Analysis Dashboard

Visualizes threat distribution, risk levels, and historical trends for SOC-level situational awareness.

METRICS: RISK | TRENDS | LOGS
SOC-READY UI

Ready to analyze your first email?

Start your forensic investigation with our automated threat detection platform.

THREAT DETECTION PIPELINE

Multi-Stage Threat Intelligence

Our platform processes suspicious emails through a rigorous forensic pipeline, transforming raw headers into actionable intelligence to neutralize phishing attempts before they compromise your network.

01INGESTION
Email Header Extraction
Automated parsing of raw email headers to identify sender, reply-to, and routing paths.

Our engine strips away obfuscation to reveal the true origin of incoming mail. We isolate sender identity, reply-to mismatches, and routing anomalies that often signal sophisticated phishing attempts.

Parsing StatusHeader Verified
Headers CleanSource: SMTP Logs
Extraction Rate100%
Stage 1 of 4
02HEURISTICS
Threat Pattern Analysis
Heuristic scanning for malicious keywords, urgent requests, and suspicious URL structures.

We cross-reference email content against known phishing indicators. Our rule engine flags urgent payment demands, password reset requests, and obfuscated links before they reach your inbox.

Threat ScoreRisk Detected
High Risk (84%)Flag: URL Shortener
Risk Saturation84%
Stage 2 of 4
03GEOLOCATION
IP Intelligence Mapping
Extracts public IP addresses to map sender location and ISP infrastructure.

We resolve public IP addresses to their approximate geographic origin. This telemetry helps identify if an email claims to be from a local bank but originates from a high-risk foreign node.

Origin NodeNode Located
Moscow, RUISP: Global Host
Geo Accuracy65%
Stage 3 of 4
04FORENSICS
Forensic Report Generation
Compiles all findings into a structured, exportable forensic intelligence report.

The final report aggregates header data, threat scores, and geolocation telemetry. Users can export these findings as JSON or PDF for further investigation or security compliance audits.

Report StatusReport Ready
Ready to ExportFormat: PDF/JSON
Report Integrity100%
Stage 4 of 4
FORENSIC PROTOCOL • STAGE 01

Email Header Extraction

Our engine strips away obfuscation to reveal the true origin of incoming mail. We isolate sender identity, reply-to mismatches, and routing anomalies that often signal sophisticated phishing attempts.

Live Analysis Stream
ID: CY-88291
Processing Time
< 200ms
Threat Level
Critical
Geo-Lookup
Resolved
Forensic Log
Generated

Real-time Scanning

Instant analysis of email content and header metadata.

Heuristic Engine

Detects phishing patterns using advanced rule sets.

IP Intelligence

Maps sender locations to identify suspicious origins.

Forensic Audits

Generates detailed reports for security compliance.

Telemetry Node: CyberAI Intelligence

Platform Telemetry

Real-time statistical overview of email threat detection, forensic intelligence, and system performance metrics.

Live Scanning Active
View Dashboard
Operational
12kEmails
Total Emails Scanned
Cumulative volume processed by our threat detection engine
System Baseline
+1.2k This Week
Verified
98.4Percent
Safe Communications
Verified legitimate traffic passing security protocols
Traffic Flow
High Confidence
Optimized
0.8Seconds
Avg. Analysis Speed
Latency from ingestion to forensic report generation
Processing Core
Real-time Sync
Critical Alert
452Attempts
Threats Neutralized
Phishing and malicious payloads blocked by AI heuristics
Security Perimeter
Zero Breaches

CyberAI Forensic Intelligence Hub

Centralized threat telemetry and analysis history updated continuously.

Threat Detection & Forensic Pilot

Secure your communications with AI-powered intelligence.

Test our email threat detection platform. See how we parse headers, identify malicious links, and provide forensic reports to protect your organization from phishing.

CYBERAI_THREAT_ENGINE :: LIVE_DEMO
Threat Analysis Input

"Analyze email headers for spoofed sender domains and malicious URL patterns."

Forensic Metadata
Data SourcesEMAIL_HEADERS / URL_REPUTATION
Detection ModeHEURISTIC SCAN
Processing Time42ms
Secure SandboxNo external execution
Forensic Query Logic
SELECT 
  SENDER_DOMAIN AS Domain,
  COUNT(*) AS AttemptCount,
  MAX(RISK_SCORE) AS MaxRisk,
  CASE WHEN SPF_PASS = 0 THEN 'FAIL' ELSE 'PASS' END AS SPF_Status
FROM EMAIL_HEADERS
WHERE TIMESTAMP >= '2024-10-01'
GROUP BY SENDER_DOMAIN, SPF_PASS
ORDER BY MaxRisk DESC;
Engine: Python/SQLite Threat ParserVerified • Active

Heuristic Threat Engine

Real-time parsing of email metadata to identify suspicious patterns and anomalies.

Forensic Data Integrity

Immutable logging of all analysis results for audit and incident response.

Actionable Intelligence

Transparent risk scoring with clear indicators for rapid security decision-making.