Intellectual Property
6 USPTO Patents
From 2011 to 2017, while leading cybersecurity R&D at Accenture Tech Labs, I co-invented six granted US patents that established foundational approaches to AI-driven threat intelligence and automated incident response — areas that now sit at the core of every modern SOC platform.
All patents assigned to Accenture Global Services Ltd.
Contextualization of Threat Data
Enriches raw threat indicators with contextual metadata — campaigns, TTPs, and asset relationships — so analysts get actionable intelligence, not just raw data.
Unstructured Security Threat Information Analysis
Uses NLP to automatically extract structured threat intel from unstructured text sources (blogs, advisories, forums) and maps them to STIX constructs.
Method and System for Automated Incident Response
Automates security incident response by detecting indicators of compromise, mapping to a predefined ontology of response strategies, and executing the right playbook.
Computer Asset Vulnerabilities
Determines network attack paths between computer assets by combining asset topology, vulnerability data, and adversary threat data to calculate probability of compromise.
Incident Triage Scoring Engine
Scores and prioritises security incidents automatically so analysts always work the highest-risk alerts first — eliminating manual triage and alert fatigue.
Unstructured Security Threat Information Analysis (Extended)
Extends NLP-based threat extraction with enhanced classification and prioritisation filters, allowing SOC teams to customise how incoming threat data is processed.