What threat intelligence feeds does ObsidianOne integrate with?

ObsidianOne integrates with AlienVault OTX (the world's largest open threat intelligence community), VirusTotal (70+ antivirus engines), IP reputation databases, domain intelligence services, and proprietary threat feeds to provide comprehensive multi-source threat context.

How does AI improve threat intelligence over traditional methods?

AI enhances threat intelligence by automatically extracting IOCs from unstructured data, correlating indicators across multiple sources for higher confidence, attributing threats to known actors and campaigns, tracking reputation changes over time, and providing contextual recommendations rather than just raw data.

What types of IOCs can be automatically enriched?

ObsidianOne automatically enriches IP addresses (with geolocation, ASN, and reputation), domains (with age, registration, DNS history), file hashes (MD5, SHA1, SHA256 against malware databases), URLs (malicious link detection), and email addresses associated with phishing or spam campaigns.

How quickly does threat intelligence enrichment happen?

Threat intelligence enrichment happens in real-time as logs are ingested. IOCs are extracted and enriched within seconds, providing analysts with immediate context before they even begin investigating an event. This eliminates the manual lookup time traditionally required for threat intelligence checks.

AI Threat Intelligence — ObsidianOne | Automated Threat Enrichment

Q: How does automated threat intelligence enrichment work?

Automated threat intelligence enrichment extracts IOCs from incoming logs, then automatically queries multiple threat intelligence sources to gather reputation data, malicious indicators, threat actor attribution, and historical context. The enriched data is then correlated and presented to analysts with actionable recommendations.

Quick Answer: What is AI Threat Intelligence?

AI threat intelligence is an automated approach to security that uses artificial intelligence to extract, enrich, and analyze indicators of compromise (IOCs) from security logs in real-time. Instead of manually checking every suspicious IP address, domain, or file hash against threat databases, AI systems automatically cross-reference these indicators against multiple global threat feeds—including AlienVault OTX, VirusTotal, and proprietary sources—to instantly provide security analysts with actionable context, threat actor attribution, and response recommendations.

Key Takeaways

AI automatically extracts and enriches IOCs from logs without manual analyst intervention
Multiple threat feeds (OTX, VirusTotal, IP reputation) provide comprehensive multi-source intelligence
Real-time enrichment delivers threat context within seconds of log ingestion
AI provides threat actor attribution and links IOCs to known campaigns and attack patterns
Contextual recommendations transform raw intelligence data into actionable security decisions

Automated Threat Intelligence Enrichment

Security analysts spend countless hours manually checking indicators of compromise (IOCs) against threat intelligence databases. Every suspicious IP address, every unknown domain, every file hash requires manual lookup—time that could be spent on actual threat hunting.

ObsidianOne eliminates this manual work entirely. As logs flow into the platform, our AI automatically extracts IOCs and enriches them with threat intelligence from multiple sources, including AlienVault OTX, VirusTotal, and proprietary threat feeds.

Integrated Threat Feeds

AlienVault OTX

World's largest open threat intelligence community with millions of threat indicators updated daily by security researchers worldwide.

VirusTotal Integration

Check file hashes and URLs against 70+ antivirus engines and security vendors for comprehensive malware detection.

IP Reputation Scoring

Real-time reputation analysis for IP addresses including geolocation, ASN ownership, and historical malicious activity.

Domain Intelligence

Analyze domains for age, registration patterns, DNS history, and associations with known threat actors or campaigns.

How AI Enhances Threat Intel

Traditional threat intelligence platforms give you data. ObsidianOne gives you context. Our AI doesn't just check if an IP is malicious—it understands why it matters in the context of your environment.

Automatic IOC extraction — IPs, domains, hashes, and URLs pulled from unstructured log data
Multi-source correlation — Cross-reference indicators across multiple feeds for higher confidence
Threat actor attribution — Link indicators to known threat groups and campaigns
Historical analysis — Track IOC reputation changes over time for trend detection

From Data to Decision

Threat intelligence is only valuable if it leads to action. ObsidianOne combines enriched IOC data with AI analysis to generate clear recommendations: block this IP, investigate this user, escalate this incident. Your team gets signal, not just data.

People Also Ask

What is AI threat intelligence?

AI threat intelligence uses artificial intelligence to automatically extract, enrich, and analyze indicators of compromise (IOCs) from security logs. It combines data from multiple threat feeds like AlienVault OTX and VirusTotal to provide instant context on IP addresses, domains, file hashes, and URLs without requiring manual analyst lookup, significantly reducing investigation time and improving threat detection accuracy.

How does automated threat intelligence enrichment improve SOC efficiency?

Automated threat intelligence enrichment eliminates the manual process of checking each IOC against threat databases. Instead of analysts spending hours looking up IP addresses and file hashes, the AI system enriches all indicators in real-time during log ingestion. This allows analysts to focus on investigation and response rather than data gathering, dramatically reducing mean time to detect (MTTD) and mean time to respond (MTTR).

What threat intelligence sources does ObsidianOne integrate with?

ObsidianOne integrates with AlienVault OTX (the world's largest open threat intelligence community with millions of indicators), VirusTotal (70+ antivirus engines and security vendors), IP reputation databases for geolocation and ASN analysis, domain intelligence services for WHOIS and DNS history, and proprietary threat feeds. This multi-source approach ensures comprehensive coverage and reduces false positives through cross-validation.

Can AI threat intelligence help with threat actor attribution?

Yes, AI threat intelligence correlates IOCs with known threat actor campaigns, tactics, techniques, and procedures (TTPs). When a suspicious IP or domain is detected, the system automatically checks if it's associated with tracked threat groups like APT29, Lazarus Group, or ransomware families. This attribution helps security teams understand attacker motivation, predict next moves, and prioritize response based on the sophistication and intent of the threat actor.

How does ObsidianOne reduce false positives in threat intelligence?

ObsidianOne reduces false positives through multi-source correlation (validating IOCs across multiple threat feeds for higher confidence), behavioral context analysis (evaluating IOCs within the context of user and system behavior patterns), reputation scoring that weighs historical data and recency, and AI-powered filtering that learns from analyst feedback to distinguish legitimate business activity from genuine threats. This contextual approach eliminates noise and surfaces only actionable intelligence.

Quick Answer: What is AI Threat Intelligence?

Key Takeaways

AI-Powered Threat Intelligence

Automated Threat Intelligence Enrichment

Integrated Threat Feeds

AlienVault OTX

VirusTotal Integration

IP Reputation Scoring

Domain Intelligence

How AI Enhances Threat Intel

From Data to Decision

See Threat Intelligence in Action

People Also Ask

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