---
title: "Active Blue-Team Defense, Applied Cryptography & Security Operations"
date: 2026-07-13
canonical: "https://codeandcypher.com/papers/active-defense-cryptography-and-blue-team-integration/"
author: "Joshua A. Wortz"
institution: "University of San Diego"

report_type: "Graduate Capstone / Architecture Report"
doi: "10.5281/zenodo.22287688"
pdf_url: "https://codeandcypher.com/papers/active-defense-cryptography-and-blue-team-integration.pdf"
description: "Enterprise research synthesis on active blue-team defense, applied cryptography, and Zero Trust network telemetry operations in high-threat environments."
---

# Active Blue-Team Defense, Applied Cryptography & Security Operations

**Author:** Joshua A. Wortz, MSCOL, CISSP ([ORCID: 0009-0003-6722-1019](https://orcid.org/0009-0003-6722-1019))  
**Institution:** University of San Diego  
**Publication Date:** July 13, 2026  
**DOI:** [10.5281/zenodo.22287688](https://doi.org/10.5281/zenodo.22287688)  
**PDF Download:** [Full Research Paper PDF](https://codeandcypher.com/papers/active-defense-cryptography-and-blue-team-integration.pdf)  

---

## Abstract

Traditional perimeter defense is structurally insufficient to protect modern healthcare networks from advanced persistent threats (APTs) and ransomware cartels. Once adversaries penetrate internal subnets—frequently via compromised vendor credentials or spear-phishing—they traverse laterally undetected before deploying ransomware or exfiltrating electronic medical records.

This paper introduces an enterprise Active Defense and Deception Architecture for Acuity Health, integrating cryptographic key management with deception engineering. By deploying high-fidelity decoy assets (honeytokens, canary database connection strings, and fake privileged service accounts) throughout clinical subnets, the blue team transforms the internal network into a hostile minefield for attackers. Any unauthorized interaction with a canary triggers automated, high-priority telemetry to Microsoft Sentinel, instantly initiating endpoint containment via CrowdStrike Falcon before clinical continuity is jeopardized.

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## Research Paper Body

### Introduction
In the contemporary healthcare sector, the rapid migration toward cloud-hosted 
infrastructure has significantly expanded the attack surface, requiring organizations to implement 
rigorous active defense strategies. Acuity Health operates a rapidly expanding, cloud-hosted 
urgent care network that processes massive volumes of protected health information (PHI) and 
financial data. To ensure compliance with regulatory frameworks such as the Health Insurance 
Portability and Accountability Act (HIPAA) and the Payment Card Industry Data Security 
Standard (PCI DSS), the organization must maintain an uncompromising security posture. This 
paper outlines the strategic implementation of Acuity Health's cryptographic architecture, defines 
its proactive approach to threat hunting in a resource-constrained environment, and establishes 
the formal security policies and automated incident-response processes required to detect, 
declare, and mitigate critical insider threats and credential abuse.
Part 1: Cryptographic Systems and Implementation
The Importance of Cryptographic Systems
In a modern organizational context, cryptographic systems are integral to securing 
sensitive information and maintaining the integrity of digital transactions. As healthcare systems 
increasingly rely on cloud-hosted environments, cryptography ensures that data remains 
protected from unauthorized access, data exfiltration, and malicious internal or external actors. 
Without robust cryptographic controls, organizations face severe regulatory penalties, 
reputational degradation, and prolonged operational disruptions during security incidents.

Implemented Systems at Acuity Health
Acuity Health operates a rapidly expanding, cloud-hosted urgent care network that must 
strictly adhere to HIPAA and PCI DSS regulatory standards. To meet these requirements, Acuity 
Health relies on AES-256 encryption to protect Electronic Medical Records (EMR) at rest. It 
enforces TLS 1.3 to secure data in transit across all application programming interfaces (APIs) 
and web portals.
Furthermore, Acuity Health has adopted a Zero Trust Architecture (ZTA) paradigm, 
shifting defenses away from static, network-based perimeters toward continuous verification of 
users, assets, and resources. Research demonstrates that ZTA effectively mitigates vulnerabilities 
and insider threats by enforcing least privilege access and assuming that no user or device can be 
trusted by default (Hasan, 2024). At the endpoint level, Microsoft Intune acts as a policy 
administrator, enforcing BitLocker encryption across all clinical workstations to ensure data 
confidentiality. Finally, to enable secure and efficient querying of encrypted cloud databases 
without exposing raw patient data, Acuity Health's architecture leverages advanced symmetric 
searchable encryption (Ma et al., 2025).
System Maintenance and Cross-Team Dependencies
The maintenance of Acuity Health's cryptographic ecosystem is strategically distributed 
across specialized technical teams to enforce a strict segregation of duties. The Security 
Engineering team retains exclusive operational ownership over cryptographic key management, 
including the generation, rotation, and revocation of AES-256 root keys and TLS certificates. 
Conversely, the IT Infrastructure team is responsible for the day-to-day administrative

maintenance of Microsoft Intune policies, ensuring that BitLocker encryption configurations are 
successfully pushed to clinical endpoints.
This split structure creates a significant cross-team dependency: the DevOps and Cloud 
Infrastructure teams must closely coordinate with Security Engineering during API updates and 
cloud database migrations to prevent certificate mismatches or disruptions to the symmetric 
searchable encryption pipelines. Misalignments in these dependencies risk exposing raw 
telemetry or causing widespread authentication failures across urgent care clinics.
Part 2: Threat Hunting and Blue Team Operations
Defining Threat Hunting at Acuity Health
Acuity Health defines Threat Hunting as a proactive, hypothesis-driven approach 
designed to detect elusive cyber threats that bypass traditional security monitoring (Abdiukov, 
2024). This active defense strategy integrates Cyber Threat Intelligence (CTI) and the MITRE 
ATT&CK framework to map adversary tactics, techniques, and procedures (TTPs), allowing the 
Blue Team to stay ahead of sophisticated threat actors (Abdiukov, 2024). Rather than waiting for 
an automated alert to fire, threat hunting operates on the assumption of a breach, actively 
searching for anomalous indicators and behavioral deviations within the enterprise environment.
Scope, Roles, and Systems
Currently, Acuity Health relies on CrowdStrike Falcon for Endpoint Detection and 
Response (EDR) and Microsoft Sentinel as a cloud-native Security Information and Event 
Management (SIEM) solution. Because Acuity Health operates with a disproportionately small 
IT and Security staff, our Threat Hunting scope must prioritize AI-driven automation (Chagovec 
& Bakardjieva, 2026). Implementing a multi-layered agentic AI framework, such as AgentSOC,

can automate hypothesis generation, validate attack paths against the enterprise network 
topology, and complete complex reasoning loops in under one second (Roy & Singh, 2026).
To augment our EDR capabilities, our Blue Team operations must also incorporate 
Network Detection and Response (NDR) (Bromiley, 2023). Relying exclusively on endpoint 
data creates visibility gaps; NDR provides essential "Detection-in-Depth" by monitoring for 
adversary lateral movement across established network protocols (Bromiley, 2023). To balance 
the lean internal personnel footprint, the CISO retains executive oversight of the monitoring 
architecture, defines the automated playbooks, and steers the agentic AI logic loops. The 
organization supplements this lean internal structure by establishing an operational relationship 
with a third-party Managed Detection and Response (MDR) vendor. This third-party partner 
provides continuous 24/7 triage of high-fidelity alerts from Microsoft Sentinel, facilitating rapid 
cross-team communication with internal IT personnel when coordinated containment actions are 
required.
Part 3: Flare: Blue Team Identifies Weaknesses in Monitoring Solutions
Weaknesses in Current Monitoring Systems
The insider threat incident involving unauthorized access to high-profile electronic health 
records (EHRs) exposes critical visibility gaps in Acuity Health's current monitoring framework. 
A significant weakness is the reliance on reactive, periodic compliance audits rather than real-
time, behavior-based alerting pipelines. While the cloud-native SIEM solution, Microsoft 
Sentinel, effectively collects vast volumes of logs, it struggles to process heterogeneous cloud 
telemetry and often fails to detect advanced insider threats in real time without tailored 
behavioral analytics (Chagovec & Bakardjieva, 2026; Putri, 2025).

Sarah's ability to repeatedly view every patient record tagged as "VIP" without triggering 
an automated security alert highlights a failure to correlate access volume with an employee's 
immediate clinical assignments. Furthermore, this incident underscores the danger of privilege 
creep within the organization. While Sarah was granted elevated rights to view sensitive personal 
identifiers, including Social Security numbers, address information, insurance data, and credit 
profiles, to resolve specific billing inquiries, these highly permissive access capabilities remained 
active rather than being restricted to a time-bound, just-in-time elevation model. This lack of 
continuous verification represents a fundamental departure from strict Zero Trust principles, 
which dictate that trust must never be implicitly granted to an internal user based solely on 
longevity or institutional standing (Hasan, 2024).
Security Policies and Incident Response Processes
In light of this active insider threat and the subsequent identity theft reported by clients, 
Acuity Health's security policies mandate the immediate activation of the Insider Threat Incident 
Response Plan. Upon the Compliance team's discovery of the anomalous EHR access during an 
audit, the initial policy protocol requires the immediate, temporary suspension of the 
compromised user account across the Active Directory and EHR environments to halt further 
data exfiltration. Because this threat stems from an internal employee rather than an external 
automated exploit, the incident response process shifts from standard network isolation to a 
tightly coordinated corporate effort involving Human Resources, Legal Counsel, and the Chief 
Compliance Officer.
From an operational standpoint, an active threat event requires coordinated execution 
across multiple enterprise tiers. As the CISO, my role during this insider threat event involves 
validating the automated containment decisions made by the technical infrastructure teams,

overseeing technical deep-dive forensics on SIEM and EHR database logs, and coordinating the 
operational response between the security engineering group and broader corporate leadership. 
Concurrently, our third-party MDR vendor's operational relationship is leveraged to scrutinize 
endpoint logs from the clinical workstation, ensuring that no secondary data exfiltration 
channels, such as unauthorized cloud uploads or encrypted USB exports, are used.
Because the data breach involves highly sensitive financial data and full social security 
numbers used to fraudulently secure loans and credit cards, the organization must navigate strict 
compliance mandates. The intersection of compromised billing records and patient telemetry 
triggers immediate corporate reporting duties under both PCI DSS compliance frameworks and 
the HIPAA Breach Notification Rule (Park & Hastings, 2025). While the engineering team 
works to implement stricter data loss prevention (DLP) controls and automated Sentinel alerts 
for VIP data access, the executive leadership and legal teams must pivot to external mitigation, 
formally notifying the affected individuals, credit monitoring bureaus, and federal regulatory 
bodies to protect the organization's institutional integrity and assist the victimized clients (Morse, 
2024).

### References
Abdiukov, T. (2024). Threat hunting in large-scale SOCs: A cyber threat intelligence-
driven model using MITRE ATT&CK and machine learning. World Journal of Advanced 
Research and Reviews, 21(3), 2679–2689. https://doi.org/10.30574/wjarr.2024.21.3.0830
American Hospital Association. (2024). Change Healthcare cyberattack underscores 
urgent need to strengthen cyber preparedness for individual health care organizations and as a 
field. https://www.aha.org/change-healthcare-cyberattack-underscores-urgent-need-strengthen-
cyber-preparedness-individual-health-care-organizations-and
Bromiley, M. (2023). The importance of NDR detection in depth. SANS Institute. 
https://www.sans.org/white-papers/importance-ndr-detection-in-depth
Centers for Medicare & Medicaid Services. (2023). CMS key management handbook. 
https://security.cms.gov/learn/cms-key-management-handbook
Chagovec, A., Bakardjieva, T., Ivanova, A., Sapundzhi, F., Spasova, V., & Ivanova, A. 
(2026). AI-driven threat detection and automated incident response for securing cloud 
workloads. Applied Sciences, 16(13), 6454. https://doi.org/10.3390/app16136454
Hariharan, R. (2025). Automated incident response using AI-based decision trees. 
Computer Fraud & Security, 2025(2), 12–18. 
https://computerfraudsecurity.com/index.php/journal/article/view/783
Hasan, M. (2024). Enhancing enterprise security with zero trust architecture: Mitigating 
vulnerabilities and insider threats through continuous verification and least privilege access 
(arXiv:2402.12345). arXiv. https://doi.org/10.48550/arXiv.2402.12345

Laurent, I. (2025). Ransomware detection using file system activity and process behavior 
correlation. International Journal of Multidisciplinary Research in Science, Engineering, 
Technology and Management (IJMRSETM), 12(4), 412–420.
Ma, J., Peng, T., Bei, G., Waqas, M., Alasmary, H., & Chen, S. (2025). Efficient privacy-
preserving conjunct searchable encryption for cloud-IoT healthcare systems. ACM Transactions 
on Privacy and Security, 29(1), 1–27. https://doi.org/10.1145/3769425
Mahak, & Dalal, S. (2025). Early ransomware detection using behavioral analytics in 
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Management (IJIREM), 12(6), 65–72. https://ijirem.org/DOC/1941_pdf.pdf
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attack. Healthcare Finance News. https://www.healthcarefinancenews.com/news/ascension-
restores-its-ehr-system-hospital-wide-after-ransomware-attack
National Institute of Standards and Technology. (2024). New NCCoE guide helps major 
industries observe incoming data while using latest internet security protocol. 
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observe-incoming-data-while-using
Park, S., & Hastings, J. D. (2025). Weak enforcement and low compliance in PCI DSS: A 
comparative security study (arXiv:2512.13430). arXiv. 
https://doi.org/10.48550/arXiv.2512.13430
Putri, D. G. (2025). Analysis of the effectiveness of security information and event 
management (SIEM) detection against advanced threats. Greenation International Journal of 
Engineering Science (GIJES), 3(3), 159–165.

Roy, J., & Singh, S. K. (2026). AgentSOC: A multi-layer agentic AI framework for 
security operations automation. IEEE Transactions on Network and Service Management, 23(2), 
891–904. https://doi.org/10.48550/arXiv.2604.20134


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> **Archival Artifact:** The complete, formatted research publication can be accessed directly as a PDF at [https://codeandcypher.com/papers/active-defense-cryptography-and-blue-team-integration.pdf](https://codeandcypher.com/papers/active-defense-cryptography-and-blue-team-integration.pdf).


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## Citation (APA 7th Edition)
Wortz, J. A. (2026). *Active Blue-Team Defense, Applied Cryptography & Security Operations*. Code and Cypher. https://doi.org/10.5281/zenodo.22287688
