Threat Intelligence Automation

Towards an AI-Enhanced Cyber Threat Intelligence Processing Pipeline The authors of this paper propose a framework for an AI-enhanced CTI processing pipeline. What can we learn: AI-Enhanced CTI Pipeline: The paper outlines a four-stage pipeline: 1️⃣ Intelligence Ingestion: Automates data collection, validation, and categorization using AI, ensuring relevant and quality intelligence feeds. 2️⃣ Collaborative Analysis: Combines AI insights with human intuition, allowing analysts to validate and interpret data with contextual understanding. 3️⃣ Automated Mitigation: AI-driven threat analysis provides response recommendations, enabling faster, data-driven decisions. 4️⃣ Resilience Verification: Simulates cyberattacks to stress-test defenses and continuously monitors for weaknesses. Key Takeaways: 🔍 Human-AI Collaboration: AI complements human expertise, enhancing, not replacing, the analyst's role. It's about amplifying human intuition with AI’s processing power. ⚖️ Bias Mitigation: The framework emphasizes actively managing biases in AI models and CTI analysis, addressing model drift and hallucinations. 🛡️ Explainable AI (XAI): Transparency in AI decision-making builds trust with stakeholders, making outcomes more reliable and actionable. This is a great way to think about complex processes that exist like CTI analysis, and find those spots in there where AI can help accelerate or reduce the workload of a human. So think about having 1-2 augmented team members instead of 5-10. Paper 🔗 Here: https://lnkd.in/ejDpiGwR

🔄 Automating a SOC with n8n: Monitoring, Threat Intelligence & Response Orchestration In modern security operations, speed and context are everything. That’s why I built a complete SOC automation flow using n8n, integrating monitoring tools, threat intelligence, and automated response logic. 🧩 Architecture Overview: Detection & Ingestion 🔹 Wazuh detects anomalies and sends log alerts. 🔹 Nagios XI monitors infrastructure health. 🔹 Checkly tracks application uptime and performance. Orchestration (n8n) All events are centralized and orchestrated through n8n’s visual workflows. Threat Enrichment 🧠 OpenAI (LLM) adds contextual analysis to indicators. 🌐 VirusTotal and MISP Project (@misp@misp-community.org ) validate IOCs. 🕸️ ZenoX AI Deep/Dark Web Monitoring checks for external exposure. Conditional Logic & Triage The flow classifies threats based on severity, source, and indicator type. Automated Response 🛡️ Block IPs or domains via firewall API 📥 Create tickets in Jira ✉️ Notify via email and Slack ✅ Benefits: Response in seconds, powered by enriched intel. Less Tier-1 analyst overhead. Fully visual and auditable workflows. REST/API-ready — vendor-neutral and cloud-native. 🧠 Built entirely in low-code. ⚙️ Designed for hybrid environments, MSSPs, and security teams seeking open automation. 📎 Full architecture diagram below. If you'd like a copy of the n8n workflow or a technical walkthrough, feel free to reach out! #CyberSecurity #SOC #SOAR #n8n #DevSecOps #ThreatIntel #IncidentResponse #Wazuh #Nagios #Checkly #Automation #DarkWeb #AIinSecurity

Cyber Threat Intelligence (CTI) is a specialized area within cybersecurity that focuses on the systematic collection, analysis, and dissemination of information regarding potential or existing cyber threats. Understanding the CTI Lifecycle is essential for organizations to anticipate, prevent, and respond more effectively to cyberattacks. Each phase of this lifecycle can be optimized using certain tools like these I included below: 💎 Planning and Direction: Define objectives and requirements for intelligence gathering. - https://attack.mitre.org MITRE ATT&CK: A comprehensive knowledge base of adversary tactics and techniques. 💎 Collection: Gather raw data from various sources. - https://otx.alienvault.com AlienVault OTX: Community-driven threat intelligence sharing. - https://lnkd.in/ei7ecKk7 IBM X-Force Exchange: Platform for cyber threat intelligence sharing and research. - https://lnkd.in/ezPEjgQT Cisco Talos: Provides IP, domain, and file reputation analysis. - https://lnkd.in/ejzBVqmJ ThreatMiner: Offers intelligence feeds on domains, files, and IPs. - https://pulsedive.com Pulsedive: Threat intelligence platform for malware, IoCs, and indicators. - https://urlhaus.abuse.ch URLhaus (Abuse.ch): Database of known malicious URLs. - https://threatfox.abuse.ch ThreatFox (Abuse.ch): Indicators of Compromise (IoCs) database. 💎 Processing: Structure and enrich collected data for analysis. - https://www.maltego.com Maltego: Data visualization tool that assists in processing and connecting data points. - https://threatconnect.com ThreatConnect: Aggregates and enriches threat data for analysis. 💎 Analysis: Identify patterns and derive insights from processed data. - https://www.threatq.com ThreatQuotient: Aids in analyzing and correlating threat data. - https://lnkd.in/ecJZHY6m Anomali ThreatStream: Provides threat intelligence analysis and management. - https://lnkd.in/eEcz-aeU Recorded Future: Delivers real-time threat intelligence analytics. 💎 Dissemination: Distribute analyzed intelligence to relevant stakeholders. - https://lnkd.in/epnUnc_E MISP (Malware Information Sharing Platform): Open-source platform for sharing structured threat information. - STIX/TAXII: Standards for representing and sharing threat intelligence. #CyberSecurity #ThreatIntelligence #CTI #CyberDefense #InfoSec #Malware #cybercommunity #cyberawareness #securityoperations #SOC #cyberfusion