How breaches begin
Microsoft Digital Defense Report 2025 • Microsoft Incident Response engagements.
Cyber Threat Intelligence professional with 12 years of overall security and engineering experience (8+ years specializing in CTI and 4 years in Software Engineering). Expert in adversary tradecraft, AI security threat mapping (MITRE ATLAS, OWASP Top 10 LLM), quantum risk frameworks, honeynet architecture, and autonomous SOAR detection engineering.
Security news, advisories, and investigative feeds.
Click chart segments to inspect dataset provenance.
Read the 2017 cyber-defense book from the local PDF.
Casual games for visitors who do not live in a SOC.
Reference stream linked to established security publishers, paired below with source-backed threat statistics and traceable datasets.
New forensic evidence highlights advanced persistent threat persistence mechanisms utilizing compromised service principals in Azure AD.
Active exploitation in the wild observed targeting unpatched perimeter appliances. Emergency patching recommended immediately.
Detailed telemetry breakdown tracking rapid lateral movement using PsExec, compromised domain admin accounts, and customized loader scripts.
Insights into emerging MITRE ATLAS attack vectors targeting enterprise copilot pipelines and automated AI agent workflows.
Malicious typosquatting packages detected targeting developer CI/CD build pipelines with credential harvesters.
Step-by-step methodology using Volatility 3 to extract injected DLLs and hidden network connections from volatile memory.
These figures are drawn from named industry reports rather than invented portfolio telemetry. Click any chart segment or bar to inspect the source, period, calculation method, and category definition.
Microsoft Digital Defense Report 2025 • Microsoft Incident Response engagements.
Microsoft Digital Defense Report 2025 • Microsoft Incident Response engagements.
M-Trends 2025 • investigations covering targeted attack activity during calendar year 2024.
Six source-linked cards currently represented in the advisory stream. This is coverage count, not global prevalence.
Published percentages are reproduced from the named reports for their stated populations and periods. Where this page displays “Other,” it is calculated as the mathematical remainder of the explicitly published categories; it is not an additional category reported by the source.
Search, filter, and sort a portfolio demonstration dataset derived from the threat-feed cards above. This table is a UI/data-model demonstration, not a claim of live telemetry.
| Reference | |||||
|---|---|---|---|---|---|
| Mandiant | OAuth token manipulation in cloud infrastructure | Cloud | CRITICAL | Valid Accounts / Service Principals | M-Trends 2025 ↗ |
| The Hacker News | Enterprise gateway RCE / perimeter exploitation | Cloud / Edge | HIGH | Exploit Public-Facing Application | News ↗ |
| The DFIR Report | Phishing-to-ransomware execution chain | Endpoint / DFIR | HIGH | Phishing / PsExec / Lateral Movement | DFIR ↗ |
| Microsoft Security | LLM prompt injection and agentic exploitation | AI Security | MEDIUM | Prompt Injection / Agentic Abuse | MS Security ↗ |
| Dark Reading | Open-source Python / Node.js supply-chain risk | Supply Chain | HIGH | Typosquatting / Dependency Abuse | Dark Reading ↗ |
| EC-Council | Fileless malware artifacts in RAM | Memory Forensics | INFO | Memory Injection / Hidden Connections | Forensics ↗ |
Play the new Dot/Packet Catcher game, navigate 10 expanded CTI trivia questions, validate YARA rules, or solve IR scenarios!
Click on falling/appearing red malicious packets (+100 CP) while avoiding blue benign packets (-50 CP)!
No cybersecurity knowledge required. Two quick browser games with local high scores.
Wait for the circle to turn green, then click it as fast as possible.
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Interactive portfolio notes covering adversary tracking, emerging AI threats, supply-chain intelligence, honeynet research, CTI standards, and detection engineering.
A practical model for collection, normalization, enrichment, correlation, confidence scoring, and dissemination across actors, IOCs, TTPs, infrastructure, and campaigns.
Map LLM threats and agentic abuse into intelligence workflows using ATT&CK/ATLAS concepts, telemetry, detection engineering, and human validation.
Turn adversary research into YARA, Sigma, hunting logic, and validation scenarios that can move from intelligence to SOC action.
Connect actors, malware, infrastructure, vulnerabilities, victims, campaigns, and TTPs through structured intelligence objects and graph relationships.
Correlate dependency risk, malicious packages, vendor infrastructure, exposed services, and internal telemetry to identify emerging third-party threats.
Use controlled deception environments to capture tradecraft, tooling, infrastructure indicators, and behavioral telemetry for research and detection.
Dish Network (An EchoStar Company) • Littleton, CO
Tesla • Fremont, CA
Fortinet • Sunnyvale, CA
Pacific Gas & Electric (PG&E)
Apace Technology
Authored and published in 2017, this security defense guide translates complex cyber threat vectors into practical, actionable defense frameworks for non-technical executives, organizations, and security practitioners.
Webster University • St. Louis, MO (2016-2017)
Specialization: Emerging Threat Research, Malware Analysis, Threat Modeling, Threat Hunt, Network Defense & Incident Response, Digital Forensics
Capstone: Automated System & Network Self-Defense Architecture
Electronics & Instrumentation Engineering (2007-2011)
Galgotias College of Engineering & Technology
Core Focus: ICS/OT Design & Security, Signal Processing, Embedded Systems, & Hardware Design