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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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 100M+ domain enrichment data.
For pricing, subscription options, custom database builds, or enterprise partnerships — contact us below.
Subscribe to the AI Agent Domain Database — continuous access to 100M+ domains, 20 page types each, quarterly refreshes, and real-time change signals.
Annual subscription includes quarterly data refreshes, change detection alerts, and priority API access.