Forward to: Engineering Team

Product & Platform
Engineering Workflows

Ten agent workflows for the Engineering Team — threat feed integration, URL filtering database enrichment, DNS security intelligence, platform detection engine enhancement, NGFW policy automation, XDR telemetry enrichment, SASE cloud intelligence, WildFire analysis enrichment, IoT/OT device domain profiling, and AI-powered detection model training — providing domain intelligence to enhance every security product in the platform portfolio.

1PAN-DB URL Filtering Enhancement

AI agent enriches the PAN-DB URL filtering database with comprehensive domain intelligence — adding page type analysis, enrichment data, and trust scores to improve categorization accuracy, reduce false positives, and accelerate new domain classification.

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Enhance URL Categorization with Domain Intelligence
/products /about /pricing /login IAB Categories OpenPageRank Domain Ages Web Filtering
PAN-DB ENRICHMENT — DOMAIN INTELLIGENCE INTEGRATION ════════════════════════════════════════════════════════════ DOMAINS IN PAN-DB: 800M+ DOMAINS ENRICHABLE: 102M (with 20 page types + 6 enrichment fields) CATEGORIZATION IMPROVEMENT: BEFORE ENRICHMENT: Uncategorized domains: 14.2M (daily new domains) Time to categorize: 4-48 hours (traditional crawl + ML) False positive rate: 2.8% Phishing detection (new domains): 78% within 4 hours AFTER ENRICHMENT: Uncategorized domains: 2.1M (85% auto-categorized on registration) Time to categorize: 30 seconds (domain intelligence lookup) False positive rate: 0.4% Phishing detection (new domains): 96% within 30 minutes CATEGORIZATION LOGIC ENHANCEMENT: Domain intelligence signal → PAN-DB category mapping: /pricing + /products + /about + PR >3 + Age >1yr → Business SaaS /login only + Age <30d + PR=0 + no /security → Phishing /api only + Age <14d + Country: high-risk → Malware/C2 /products + /docs + /careers + PR >5 → Technology /blog + /about + Age >2yr + IAB: News → News & Media
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Measure Customer Protection Impact
Customer Impact
PAN-DB Enhancement Impact — 78,000+ NGFW and Prisma Access deployments benefit from domain intelligence enrichment. 85% faster categorization of new domains. 86% reduction in false positives. Customers protected from phishing 3.5 hours faster than before. Zero-day malicious domain detection improved by 23%.
78,000+ customer deployments improved
Categorization Accuracy
Page Type Signal Value — The presence or absence of specific page types is the strongest predictor of domain category. /login without /security is 89% correlated with phishing. /api without /docs is 76% correlated with C2 infrastructure. These signals are unique to domain intelligence and unavailable from traditional URL crawling alone.
Page type signals: strongest predictor of domain intent
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PAN-DB Enhancement Report

URL Filtering Enhancement Report

PAN-DB IMPROVEMENT METRICS ──────────────────────────────────────── Categorization speed: 30 seconds (was 4-48 hours) False positive reduction: 86% (2.8% → 0.4%) Phishing detection: 96% within 30 minutes (was 78% in 4 hours) Customer deployments improved: 78,000+ ENGINEERING RECOMMENDATION 1. Integrate domain intelligence as primary categorization signal 2. Use page type presence/absence as ML model features 3. Deploy real-time enrichment for all uncategorized domains 4. Quarterly refresh ensures continuous accuracy improvement

2DNS Security Intelligence Feed

AI agent generates DNS security intelligence by analyzing domain characteristics at registration time — pre-scoring domains before they become active threats, enabling DNS-layer protection that blocks malicious domains hours or days before traditional threat feeds.

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Pre-Score Domains for DNS Security
/login /api /products Domain Ages Countries OpenPageRank Web Filtering
DNS SECURITY PRE-SCORING — DAILY PIPELINE ════════════════════════════════════════════════════════ NEW DOMAINS REGISTERED TODAY: 142,000 PRE-SCORED BY DOMAIN INTELLIGENCE: 142,000 (100%) PREDICTIVE BLOCKS ISSUED: 8,412 PRE-SCORING MODEL: Risk indicators (domain intelligence based): Age <7 days + PageRank 0 + <3 pages = HIGH RISK (auto-block candidate) /login present within 48hrs of registration = +30 risk points /api present, no /docs = +25 risk points (possible C2) Country: high-risk jurisdiction = +15 risk points IAB mismatch (claimed vs actual content) = +20 risk points TODAY'S PREDICTIVE BLOCKS: Phishing staging domains: 4,234 (blocked before first email sent) C2 infrastructure: 1,847 (blocked before first beacon) Malware distribution: 2,331 (blocked before first download) VALIDATION (24-hour review): Pre-blocked domains confirmed malicious: 97.2% False positives reversed: 236 (2.8%) — all within 4 hours
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Evaluate Predictive Blocking Accuracy
Pre-Scoring Model
Predictive Block Accuracy — 97.2% of pre-scored blocks are confirmed malicious within 24 hours. The 2.8% false positive rate is resolved within 4 hours through automated re-evaluation. Key signal: domains that deploy /login within 48 hours of registration are 89% likely to be phishing infrastructure. This signal alone catches 4,234 phishing sites daily.
97.2% predictive accuracy — 47-hour early warning
Time Advantage
Early Protection Window — DNS Security with domain intelligence pre-scoring blocks threats an average of 47 hours before they appear in traditional threat feeds. This window represents the critical period when malicious domains are most active but least detected. Customers protected during this window avoid 94% of initial attack impact.
47-hour advantage over traditional threat feeds
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DNS Security Intelligence Report

DNS Security Pre-Scoring Report

DAILY PIPELINE METRICS ──────────────────────────────────────── New domains scored: 142,000 (100% coverage) Predictive blocks: 8,412 | Accuracy: 97.2% False positives: 236 (2.8%) — all resolved in <4 hours Early warning advantage: 47 hours before traditional feeds CUSTOMER VALUE Threats blocked before they become active Phishing: 4,234 sites blocked before first email sent C2: 1,847 domains blocked before first beacon Malware: 2,331 sites blocked before first download

3NGFW Policy Automation Engine

AI agent automates NGFW policy creation and updates using domain intelligence — dynamically generating allow/block/inspect rules based on domain trust scores, page type analysis, and enrichment data rather than static IP-based rules.

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Generate Dynamic NGFW Policies
/security /compliance /products OpenPageRank Domain Ages Web Filtering IAB Categories
NGFW POLICY AUTOMATION — DOMAIN INTELLIGENCE DRIVEN ════════════════════════════════════════════════════════ AUTO-GENERATED POLICY RULES: RULE: trusted-saas-allow Match: Trust >80, IAB: Technology/Business, /security present Action: Allow, standard logging Domains matching: 12,847 | Auto-updated: Every 6 hours Example: salesforce.com, okta.com, github.com RULE: medium-trust-inspect Match: Trust 30-80, any IAB category Action: Allow with SSL decryption + DLP scan Domains matching: 34,891 | Auto-updated: Every 6 hours RULE: new-domain-sandbox Match: Age <30 days, Trust <30, any page type Action: Allow with full sandbox inspection Domains matching: 8,234 | Auto-updated: Hourly RULE: malicious-block Match: Trust <10, Web Filtering: Malware/Phishing/C2 Action: Block, alert SOC, log full context Domains matching: 147,234 | Auto-updated: Real-time POLICY MAINTENANCE: Rules auto-updated: No manual policy changes needed Domain reclassifications per day: 2,847 (automated) Policy consistency: 100% (no human error in rule creation)
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Assess Policy Automation Signals
Policy Intelligence
Dynamic Rule Generation — Domain intelligence eliminates static allow/deny lists. Each rule auto-updates as domain trust scores change. When a trusted SaaS vendor's trust drops (e.g., /security page removed), the rule automatically downgrades from "allow" to "inspect" — no manual intervention required. 2,847 reclassifications happen daily without human touch.
2,847 auto-reclassifications daily — zero manual effort
Customer Deployment
NGFW Policy Accuracy — Automated policies reduce over-blocking (which impacts productivity) and under-blocking (which creates security gaps). Domain intelligence-driven policies achieve 99.6% correct enforcement vs 94.2% for manually maintained rules. This eliminates the "stale policy" problem where old allow rules let compromised domains through.
99.6% policy accuracy — vs 94.2% manual rules
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NGFW Policy Report

NGFW Policy Automation Report

POLICY PERFORMANCE ──────────────────────────────────────── Active rules: 4 tiers | Domains covered: 203,206 Auto-updates: Every 6 hours (trusted), hourly (new), real-time (malicious) Policy accuracy: 99.6% (vs 94.2% manual) Manual policy changes needed: Zero ENGINEERING VALUE Eliminates manual policy maintenance entirely Adapts in real-time as domain intelligence changes Consistent across all 78,000+ NGFW deployments

4Cortex XDR Detection Enhancement

AI agent enhances Cortex XDR detection capabilities by adding domain intelligence context to behavioral analytics — improving detection of C2 beaconing, data exfiltration, lateral movement, and credential theft based on domain characteristics.

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Enhance XDR Detection Models
/api /login /products Domain Ages Countries Web Filtering OpenPageRank
XDR DETECTION ENHANCEMENT — DOMAIN INTELLIGENCE FEATURES ════════════════════════════════════════════════════════════ NEW DETECTION FEATURES (added to XDR ML models): Feature: domain_trust_score (0-100) Input to: C2 detection, data exfil detection, phishing detection Impact: +23% detection rate for novel C2 patterns Feature: domain_age_days Input to: All network-based detections Impact: Newly registered domains weighted 5x higher in risk models Feature: page_completeness_ratio (pages present / 20) Input to: Domain legitimacy scoring Impact: Domains with <5/20 pages flagged for deep inspection Feature: country_risk_score Input to: Geopolitical threat models Impact: Traffic to high-risk jurisdictions triggers enhanced analysis DETECTION IMPROVEMENT METRICS: C2 detection rate: 78% → 94.7% (+16.7pp) Phishing detection rate: 82% → 96.1% (+14.1pp) Data exfil detection rate: 71% → 89.3% (+18.3pp) False positive rate: 8.4% → 2.1% (-6.3pp)
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Interpret Feature Importance Signals
ML Feature Impact
Domain Intelligence in ML Models — Domain trust score and page completeness ratio are now in the top 5 most predictive features across 4 of 6 XDR detection models. Page completeness (pages present out of 20) is the single best feature for distinguishing legitimate domains from malicious infrastructure — better than any network behavioral feature alone.
Top 5 ML features in 4 of 6 detection models
Detection Rate Improvement
Cross-Model Improvement — Domain intelligence features improve every detection model: C2 (+16.7pp), phishing (+14.1pp), data exfiltration (+18.3pp). False positives drop 75% (8.4% to 2.1%). The improvement is largest for novel threats not in signature databases — exactly where traditional detection struggles most.
+14-18pp detection improvement across all models
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XDR Enhancement Report

Cortex XDR Detection Enhancement Report

DETECTION IMPROVEMENT SUMMARY ──────────────────────────────────────── C2 detection: 78% → 94.7% (+16.7pp) Phishing detection: 82% → 96.1% (+14.1pp) Data exfiltration: 71% → 89.3% (+18.3pp) False positive rate: 8.4% → 2.1% (-75%) ENGINEERING IMPACT Domain intelligence features are now critical to XDR detection. 4 new features added to ML models from domain intelligence 52 features per domain vs 5-8 from competitors 6.5x feature advantage drives superior detection

5Prisma SASE Cloud Intelligence

AI agent provides domain intelligence for Prisma Access SASE decisions — enabling cloud-delivered security with real-time domain trust scoring, SaaS application classification, and dynamic policy enforcement across all remote users and branch offices.

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Power SASE with Domain Intelligence
/pricing /security /login /compliance IAB Categories Personas Web Filtering
PRISMA ACCESS — DOMAIN INTELLIGENCE INTEGRATION ════════════════════════════════════════════════════════ SASE USE CASES POWERED BY DOMAIN INTELLIGENCE: 1. SaaS Application Discovery & Classification SaaS apps discovered in customer traffic: 14,891 Auto-classified by domain intelligence: 14,891 (100%) /pricing + /login + /products → SaaS classification /security presence → Sanctioned vs unsanctioned decision 2. Shadow IT Detection for Remote Users Remote users: 47,000+ across Prisma Access customers Shadow IT services detected per customer: Avg 67 Detection method: /pricing + /login without /security or /compliance 3. Adaptive Access Policy Domain trust score drives policy: Allow / Inspect / Block Policies adapt in real-time as domain intelligence changes Example: Vendor trust drops 85 → 42 → Auto-switches to SSL inspect
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Assess SASE Integration Signals
SaaS Classification
100% SaaS Coverage — Domain intelligence enables 100% SaaS application classification (vs 72% without). The key signal: /pricing + /login + /products identifies SaaS applications. Adding /security check determines sanctioned vs unsanctioned status. This eliminates the "unknown app" category that creates security blind spots in SASE deployments.
100% SaaS classification — zero blind spots
Remote Worker Protection
Shadow IT Discovery — 47,000+ remote users generate traffic to an average of 67 unauthorized SaaS services per customer. Domain intelligence detects these by identifying services with /pricing (commercial intent) but no /security or /compliance pages (not enterprise-ready). 3x more shadow IT discovered than without domain intelligence.
3x more shadow IT discovered with domain intelligence
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SASE Intelligence Report

Prisma SASE Intelligence Report

SASE INTEGRATION METRICS ──────────────────────────────────────── SaaS categorization: 100% vs 72% without domain intelligence Shadow IT detection: 3x more unauthorized services identified Policy accuracy: 94% correct decisions vs 78% without enrichment CUSTOMER VALUE Every SASE decision informed by domain intelligence Adaptive policies respond to trust changes in real-time Remote workers protected with same intelligence as on-premises

6WildFire Analysis Enrichment

AI agent enriches WildFire malware analysis with domain intelligence context — adding information about download source domains, C2 destinations, and data exfiltration endpoints to improve malware classification and automated verdict generation.

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Enrich WildFire Verdicts with Domain Context
/products /api /docs Domain Ages Countries Web Filtering OpenPageRank
WILDFIRE ENRICHMENT — DOMAIN INTELLIGENCE LAYER ════════════════════════════════════════════════════════ SAMPLE ANALYSIS: SHA256:a4f8c2e1... BEHAVIORAL ANALYSIS (standard WildFire): File type: PE executable | Downloads payload | Makes DNS queries Network: Contacts 3 external domains | Modifies registry Verdict: Suspicious (score: 62/100) DOMAIN INTELLIGENCE ENRICHMENT: Download source: free-software-cracks.xyz Age: 4 days | PR: 0.0 | Web Filter: Malware +25 risk points: Malicious distribution source C2 domain: telemetry-update-service.com Age: 9 days | PR: 0.0 | Country: Russia /api: Accepts POST with encoded data +30 risk points: C2 infrastructure confirmed Data endpoint: cloud-backup-free.xyz Age: 6 days | PR: 0.0 | Country: Moldova +20 risk points: Exfiltration endpoint ENRICHED VERDICT: MALICIOUS (score: 97/100) Domain intelligence upgraded verdict from Suspicious to Malicious
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Evaluate Verdict Enhancement Signals
Verdict Upgrade Rate
Domain Intelligence Verdict Impact — 23% of WildFire "Suspicious" verdicts are upgraded to "Malicious" after domain intelligence enrichment. The key signal: all 3 domains contacted by this sample scored Trust <5, with ages under 10 days and zero PageRank. Without domain context, behavioral analysis alone only reaches 62% confidence.
23% of suspicious verdicts upgraded to malicious with domain intel
Industry Impact
Confidence Improvement — Domain intelligence adds an average of 35 confidence points to WildFire verdicts. Samples contacting domains with Age <14 days, no /security page, and Malware web filtering categories receive the highest confidence boost. This turns ambiguous "might be malicious" into definitive "confirmed malicious" verdicts for customers.
+35 confidence points average with domain enrichment
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WildFire Enrichment Report

WildFire Domain Enrichment Report

ENRICHMENT IMPACT ──────────────────────────────────────── Verdicts enriched: 100% of all WildFire analyses Suspicious → Malicious upgrades: 23% Average confidence improvement: +35 points False negative reduction: 18% fewer missed threats ENGINEERING VALUE Domain intelligence is the strongest supplementary signal Eliminates ambiguity in behavioral-only analysis Customers get definitive verdicts faster

7IoT/OT Device Domain Profiling

AI agent profiles IoT and OT device domain communications — establishing baselines of legitimate vendor domains each device type should contact, detecting anomalous communications to unauthorized domains that may indicate compromised industrial systems.

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Profile IoT Device Domain Baselines
/products /support /docs /api Domain Ages OpenPageRank Countries
IoT/OT DEVICE DOMAIN PROFILING ════════════════════════════════════════════════════════ DEVICE TYPES PROFILED: 847 unique IoT/OT device models VENDOR DOMAINS BASELINED: 2,341 DEVICE: Siemens S7-1500 PLC Legitimate domains (verified): siemens.com — PR: 8.4 | /products, /support, /docs | Firmware updates siemens-cloud.com — PR: 6.2 | /api | Telemetry upload All other external domains: BLOCKED (whitelist-only for OT) ANOMALY DETECTED: PLC-PLANT-07 (Siemens S7-1500) contacted: iot-mgmt-cloud.xyz Domain Age: 14 days | Country: China | PR: 0.0 /api: Data collection endpoint Web Filtering: Newly Registered ALERT: OT device communicating with unauthorized domain RISK: Potential ICS compromise or unauthorized data collection ACTION: Isolate PLC, notify OT security team, forensics initiated
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Assess OT Anomaly Signals
OT Baseline Deviation
Device Profile Violation — Siemens S7-1500 PLC should only contact 2 verified vendor domains (siemens.com, siemens-cloud.com). Contact with iot-mgmt-cloud.xyz (Trust: 0, Age: 14 days, China hosting) represents a critical baseline deviation. Domain intelligence confirms the contacted domain has no legitimate ICS vendor relationship.
CRITICAL — OT device contacting unauthorized C2 domain
Industrial Threat Landscape
ICS Targeting Trend — 14 OT anomalies detected this month across the monitored fleet, 3 confirmed malicious. Attackers increasingly target ICS devices through domain-based C2 rather than direct network attacks. Domain intelligence provides the only reliable detection layer for OT devices that lack traditional endpoint security agents.
14 OT anomalies this month — 3 confirmed attacks
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IoT/OT Security Report

IoT/OT Domain Profiling Report

IoT/OT SECURITY METRICS ──────────────────────────────────────── Device types profiled: 847 | Vendor domains baselined: 2,341 Devices with complete baselines: 89% of IoT/OT fleet Anomalies detected this month: 14 | Confirmed malicious: 3 PROTECTION VALUE OT devices protected without requiring endpoint agents Domain baselines detect unauthorized communications in real-time 3 ICS compromises detected and contained this month

8Threat Feed Integration & Deduplication

AI agent integrates and deduplicates threat intelligence feeds using domain intelligence as the normalization layer — merging IOCs from multiple sources, eliminating duplicates, resolving conflicts, and scoring the combined feed for quality.

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Normalize & Deduplicate Threat Feeds
/security /about OpenPageRank Domain Ages Web Filtering IAB Categories
THREAT FEED INTEGRATION — 14 SOURCES NORMALIZED ════════════════════════════════════════════════════════ INPUT FEEDS: Unit 42: 3,891 IOCs | Abuse.ch: 5,412 | OTX: 12,847 ISAC feeds: 2,234 | VirusTotal: 8,912 | Partner feeds: 4,567 Commercial feeds: 6 sources, 18,234 IOCs Total raw IOCs: 56,097 DEDUPLICATION RESULTS: Exact duplicates removed: 12,847 (22.9%) Domain intelligence resolved: 4,234 (7.5%) — same domain, different names Conflicting verdicts resolved: 891 (1.6%) CONFLICT RESOLUTION EXAMPLE: cdn-analytics-service.com OTX: MALICIOUS | Commercial feed: BENIGN Domain intelligence: Age 2,847d, PR 5.2, /security present, SOC2 RESOLVED: BENIGN (false positive in OTX) OUTPUT: Deduplicated, quality-scored feed: 38,125 unique IOCs High confidence (ready for auto-block): 28,412 (74.5%) Medium confidence (monitoring): 7,234 (19.0%) Low confidence (needs review): 2,479 (6.5%)
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Evaluate Feed Quality Signals
Deduplication Value
Feed Normalization — 32% of raw IOCs (17,972) were duplicates or conflicts. Domain intelligence resolves 891 conflicting verdicts by checking objective signals: Domain Age, PageRank, /security presence, and Web Filtering category. This eliminates the "competing truth" problem where different feeds disagree on the same domain.
32% noise removed — 891 conflicts resolved automatically
Feed Quality Ranking
Feed Accuracy by Source — Unit 42 internal feed: 97.9% accuracy. Abuse.ch: 90.3%. Community feeds (OTX): 64.1%. Domain intelligence enables objective quality scoring of each feed, allowing weighted integration where high-quality feeds receive 3x weight in the scoring model. Improves overall feed accuracy from 74% to 94%.
Overall feed accuracy: 74% → 94% with quality weighting
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Feed Integration Report

Threat Feed Integration Report

INTEGRATION METRICS ──────────────────────────────────────── Input feeds: 14 sources | Raw IOCs: 56,097 After deduplication: 38,125 unique IOCs (32% noise removed) Conflicts resolved: 891 | False positives eliminated: 2,891 OUTPUT QUALITY High confidence (auto-block): 28,412 (74.5%) Medium confidence (monitor): 7,234 (19.0%) Low confidence (review): 2,479 (6.5%) Domain intelligence is the normalization layer for all threat feeds

9AI Detection Model Training Data

AI agent generates high-quality training data for ML-based detection models by labeling domains with ground truth from domain intelligence — creating vast, accurate training sets that improve detection accuracy across all products in the security platform.

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Generate ML Training Data from Domain Intelligence
/login /api /security /products Domain Ages OpenPageRank Web Filtering IAB Categories Countries Personas
ML TRAINING DATA GENERATION — DOMAIN INTELLIGENCE ════════════════════════════════════════════════════════ TRAINING DATASETS GENERATED: 1. Phishing Detection Model Positive samples (phishing): 234,000 domains Negative samples (legitimate): 1.2M domains Features: 26 domain intelligence features per sample Model accuracy improvement: +14.1pp (82% → 96.1%) 2. C2 Detection Model Positive samples (C2): 89,000 confirmed C2 domains Negative samples: 450,000 legitimate domains with /api pages Key feature: /api present + no /docs + low PageRank + young age Model accuracy improvement: +16.7pp (78% → 94.7%) 3. Domain Reputation Model Training set: 10M domains with full 20-page + 6-enrichment profiles Features: 52 features per domain Output: Trust score (0-100) with category labels Deployed to PAN-DB, DNS Security, and Cortex XDR
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Assess Training Data Quality Signals
Feature Advantage
52 Features per Domain — Domain intelligence provides 52 features per domain (20 page types + 6 enrichment fields + 26 derived features). Traditional training data sources offer 5-8 features. This 6.5x feature advantage produces significantly better model performance, especially for novel threats not represented in historical data.
6.5x more features than competitor training data
Model Performance
Cross-Product Impact — Training data from domain intelligence improves every detection model: Phishing (+14.1pp), C2 (+16.7pp), reputation scoring (deployed to 3 products). The 10M domain training set with ground truth labels from domain intelligence is the largest, most accurate training dataset in the cybersecurity industry for domain classification.
Largest domain classification training set in industry
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Training Data Impact Report

ML Training Data Report

TRAINING DATA METRICS ──────────────────────────────────────── Phishing model: 1.43M samples, +14.1pp accuracy C2 model: 539K samples, +16.7pp accuracy Reputation model: 10M samples, deployed to 3 products Features per domain: 52 (vs 5-8 for competitors) DATA QUALITY ADVANTAGE 6.5x more features → significantly better model performance Ground truth labels from domain intelligence (not human labeling) Quarterly refresh ensures models stay current with evolving threats

10Platform Telemetry & Detection Metrics

AI agent tracks the impact of domain intelligence across all platform products — measuring detection improvements, false positive reductions, customer protection metrics, and competitive advantage gained from integrating 102M domain enrichment data.

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Track Platform-Wide Domain Intelligence Impact
/products /security OpenPageRank Web Filtering Domain Ages
PLATFORM METRICS — DOMAIN INTELLIGENCE IMPACT ════════════════════════════════════════════════════════ Product Before DI After DI Improvement NGFW (PAN-DB) 2.8% FP 0.4% FP -86% false positives DNS Security 78% detect 96% detect +23% detection rate Cortex XDR 71% exfil 89.3% exfil +25.8% data exfil detect Prisma Access 72% SaaS 100% SaaS +39% SaaS classification WildFire 62/100 avg 97/100 avg +56% verdict confidence IoT Security 67% anomaly 89% anomaly +33% OT anomaly detect
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Assess Platform-Wide Signals
Cross-Product Impact
Improvement Across All Products — Domain intelligence improves every product in the platform portfolio. False positives reduced 86% (NGFW), detection rates improved 14-26pp (XDR, DNS), and classification accuracy reaches 100% (SASE). No single data source has ever delivered cross-product improvement at this scale.
Every platform product improved by domain intelligence
Competitive Moat
Data Advantage — 102M domains with 20 page types and 6 enrichment fields creates a detection advantage competitors cannot easily replicate. Quarterly data refresh keeps the advantage current. The 30-50x cost advantage of domain intelligence ($1K/10M domains vs $300K+ naive collection) makes internal builds irrational for competitors.
30-50x cost advantage — unreplicable competitive moat
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Generate Engineering Impact Report

Engineering Impact Report — Domain Intelligence Integration

EXECUTIVE SUMMARY ──────────────────────────────────────── Products enhanced: 6 (NGFW, DNS Security, XDR, SASE, WildFire, IoT) Domains enriched: 102M with 20 page types + 6 enrichment fields Detection improvement: +14-26 percentage points across all models False positive reduction: -86% average across products COMPETITIVE ADVANTAGE 1. Faster new domain categorization (30 sec vs 4-48 hours) 2. Predictive threat blocking (47 hours early warning) 3. Superior false positive rates (0.4% vs industry avg 3-5%) 4. 52 ML features per domain (vs 5-8 for competitors) 5. IoT/OT baseline profiling (unique capability) This data moat strengthens with each quarterly refresh and grows as the 102M domain database expands.
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