ThreatSurfer is a cutting-edge, open-source threat intelligence platform designed to cut through the noise of the daily cybersecurity landscape. By fusing real-time data ingestion with advanced Large Language Model (LLM) analysis, ThreatSurfer empowers SOC analysts, security researchers, cybersecurity professionals and IT professionals to identify, understand, and mitigate threats faster than ever before.

Key Features:
Multi-Model AI Analysis: Seamlessly integrates with Google Gemini, DeepSeek-V3, and OpenAI GPT-4o. Users can bring their own API keys to generate comprehensive technical summaries, extract IOCs (Indicators of Compromise), and formulate mitigation strategies for any detected threat.

Live Threat Landscape: Aggregates data from industry-leading sources, top-tier security news feeds.

Threat Podcast: Fresh audio briefings on vulnerabilities, cybersecurity trends, Artificial intelligence for security and adversary campaigns.

Exploitation & Risk Scoring: Features a dedicated exploitation dashboard that tracks active CVEs, enriched with EPSS (Exploit Prediction Scoring System) probability scores to prioritize patching based on real-world risk rather than just severity.

Malware Radar & Blocklists: Monitors live malware submissions and tracks malicious C2 infrastructure and phishing domains, providing an up-to-the-minute blocklist for defense operations.

Daily Threat Briefing: Uses Generative AI to synthesize thousands of data points from the last 72 hours into a concise Executive Summary and a list of Actionable Insights, automating the morning briefing process.

Target Audience:
Security Operations Centers (SOCs), Threat Intelligence Analysts, Vulnerability Managers, and Cybersecurity Professionals, IT professionals looking for a centralized, and free intelligence hub.