Threat Intelligence:
Real-Time Threat Feeds, Stealer Logs & IOC Integration

Threat Intelligence is the collection, analysis, and dissemination of information about current and emerging cyber threats. It includes real-time threat feeds, IOC tracking, threat actor profiling, and stealer log monitoring: helping organizations proactively defend against attacks.

Organizations use threat intelligence to inform security strategies, prioritize vulnerability remediation, configure detection rules, enrich SIEM alerts, and monitor brand and domain exposure in the threat landscape.

We aggregate intelligence from dark web monitoring, stealer log marketplaces, open source intelligence (OSINT), security research communities, our global sensor network, and AI-driven analysis of attack patterns and threat actor campaigns.

Yes. Our real-time threat intelligence feeds integrate with major SIEM and SOAR platforms via STIX/TAXII, REST APIs, and native connectors. Supported platforms include Splunk, Microsoft Sentinel, IBM QRadar, and more.

Stealer log detection identifies credentials, session tokens, and sensitive data harvested by infostealer malware (like RedLine, Raccoon, Vidar) and sold on dark web marketplaces. Early detection lets you reset compromised credentials before attackers weaponize them.

Hunto AI continuously monitors your brand names, domains, IP addresses, and digital assets across threat feeds, paste sites, code repositories, and underground forums. When exposure is detected, you receive actionable alerts with remediation guidance.

Threat actor profiling involves tracking adversary groups (including APTs, cybercrime gangs, and hacktivists), mapping their tactics, techniques, and procedures (TTPs) to MITRE ATT&CK, and predicting their likely targets and methods to prioritize your defenses.

Yes. Our platform delivers real-time Indicators of Compromise (IOCs): including malicious IPs, domains, file hashes, and URLs: through continuously updated STIX/TAXII feeds and API endpoints for immediate ingestion into your security stack.

Our AI models correlate data across millions of threat signals, reduce false positives by contextualizing IOCs against your specific attack surface, and surface emerging threats that traditional rule-based systems miss: delivering higher-fidelity, prioritized intelligence.