As a Cybersecurity Intelligence Analyst and U.S. Army veteran with 14 years of operational leadership, I apply a mission-planning mindset to the cybersecurity threat landscape. My work spans active threat intelligence production, applied security architecture, and platform development — grounded in formal academic training (M.S. Cyber Operations, B.S. Computer Science – Cybersecurity, both 4.0 GPA at ECPI University) and operationalized through CyberSense.Solutions. My analytical focus areas include agentic AI security, ransomware and MaaS tradecraft, post-quantum cryptography readiness, critical infrastructure risk, and adversarial threat actor behavior.
Active Intelligence Production
Published threat intelligence and analytical articles via CyberSense.Solutions.
Agentic AI & Supply Chain Trust
Analysis of emerging attack vectors targeting AI coding assistants, agentic workflows, and software supply chains — including GhostApproval (AI approval bypass), Langflow IDOR (CVE-2026-55255), and adversarial model manipulation. Examines the trust assumptions embedded in AI-integrated development pipelines and the risks of autonomous agent escalation.
Ransomware & Malware-as-a-Service
Operational tradecraft analysis of modern ransomware actors including GodDamn/PoisonX (BYOVD evasion), Factory-v3/Vidar/XMRig dual-payload MaaS platforms, and affiliated threat actor infrastructure. Covers attacker TTPs, victim targeting logic, and defender response frameworks across maturity tiers.
Critical Infrastructure & Network Security
Coverage of high-severity CVEs targeting network infrastructure (Ubiquiti SAB-066, CVSS 10.0), critical facility exposure patterns, and the operational implications for enterprise security teams. Threat briefs structured around short-, mid-, and long-term response horizons for security, operations, and executive audiences.
Post-Quantum Cryptography & Governance
Analysis of NIST post-quantum cryptography framework adoption, the CREST AI Charter governance model, and agentic SOC architecture risks. Examines the policy and compliance gap between current enterprise cryptographic posture and the quantum-capable threat timeline, with recommended migration roadmaps by organizational maturity.
Academic Preprints & Technical Analysis
Peer-reviewed analytical preprints and technical research papers.
Closing the Human Element Gap in Cybersecurity: A Continuous-Microlearning Intelligence Pipeline and the Jumpmaster Training Model
Synthesizes peer-reviewed literature across six human-factors dimensions — awareness training effectiveness, microlearning, continuous reinforcement, multimodal delivery, social engineering, and phishing simulation — to argue that the cybersecurity stack is overinvested in reactive technology relative to workforce risk reduction. Presents the CyberSense.Solutions 25-agent autonomous content pipeline as an existence proof of feasibility, and proposes a controlled cluster-randomized evaluation protocol using the HAIS-Q instrument. DOI: 10.13140/RG.2.2.17784.20485
Mitigating Digital Risk Across The Expanding IoT Ecosystem
Proposes a layered defense-in-depth framework to address critical security gaps in IoT devices — from smart home sensors to industrial control systems. Aligned with NIST IR 8259r1 and NIST IR 8425. DOI: 10.13140/RG.2.2.35149.09447
HealthSecure's Comprehensive Cybersecurity Architecture
Explores how behavioral analytics and automated enforcement create a resilient, identity-centric security posture for complex healthcare networks spanning multiple facilities, medical devices, and cloud environments.
EXIF Metadata as a Hidden Threat Vector
Deconstructs how threat actors weaponize EXIF metadata embedded in everyday image files to execute unauthorized commands, and examines automated sanitization strategies to close this frequently overlooked attack surface.
Access Control in Modern Cybersecurity
Uses a real-world multi-state hospital network as a case study to map how identity-centric access control bridges the gap between regulatory compliance and operational resilience across cloud and medical device ecosystems.
Evolving Threats and Strategic Defense
Synthesizes global intelligence trends across three converging risk vectors: the industrialization of Cybercrime-as-a-Service, weaponized AI threat tools, and the persistent credential compromise crisis — with strategic defense recommendations aligned to NIST CSF.