Challenge
Federal agencies and commercial enterprises operating in highly regulated environments required a next-generation solution for secure data transfer across controlled interfaces and cross-domain boundaries. Organizations needed to ensure deterministic parsing and content disarmament while maintaining operational efficiency—critical for both government missions and commercial operations handling sensitive data across security domains.
Solution
Talon Security Engineering led the architecture and development of ProtocolBreaker, a sophisticated content transformation and protocol-normalization engine designed to meet the stringent requirements of cross-domain data transfer.
Key Features
- Deterministic Parsing: Ensures predictable and secure content analysis across all data types
- Content Disarmament & Reconstruction (CDR): Removes malicious code while preserving data integrity
- Protocol Normalization: Standardizes diverse data formats for consistent security processing
- High-Assurance Workflow: Multi-layered security controls meeting DoD IL5/IL6 requirements
- Real-time Processing: Minimal latency for mission-critical operations
- Audit & Compliance: Comprehensive logging for security audits and compliance verification
Architecture
graph LR
A[Untrusted Domain] -->|Data Transfer| B[ProtocolBreaker Engine]
B -->|Parse| C[Content Analysis]
C -->|Disarm| D[CDR Module]
D -->|Normalize| E[Protocol Handler]
E -->|Validate| F[Security Gateway]
F -->|Transfer| G[Trusted Domain]
H[Audit System] -.->|Monitor| B
H -.->|Log| C
H -.->|Track| D
style B fill:#06A3DA,stroke:#091E3E,stroke-width:3px,color:#fff
style F fill:#34AD54,stroke:#091E3E,stroke-width:2px,color:#fff
style H fill:#FF6B6B,stroke:#091E3E,stroke-width:2px,color:#fff
AWS Infrastructure
graph TB
subgraph "AWS GovCloud - Untrusted VPC"
A[S3 Ingress Bucket
IL2]
B[Lambda Parser
Deterministic Analysis]
end
subgraph "Processing Layer"
C[ECS Fargate
CDR Engine]
D[Step Functions
Workflow Orchestration]
E[SQS Queue
Message Buffer]
end
subgraph "AWS GovCloud - Trusted VPC"
F[S3 Egress Bucket
IL5/IL6]
G[CloudWatch
Audit Logs]
end
A -->|Trigger| B
B -->|Queue| E
E -->|Process| C
C -->|Orchestrate| D
D -->|Validated Data| F
B -.->|Log| G
C -.->|Log| G
D -.->|Log| G
style C fill:#FF9900,stroke:#232F3E,stroke-width:3px,color:#fff
style D fill:#FF9900,stroke:#232F3E,stroke-width:3px,color:#fff
style F fill:#34AD54,stroke:#232F3E,stroke-width:3px,color:#fff
Technology Stack
AWS GovCloud
ECS Fargate
AWS Lambda
Step Functions
S3
SQS
CloudWatch
Python
FIPS 140-2
Results
99.9%
Threat Detection Rate
<500ms
Average Processing Time
Challenge
Organizations implementing ProtocolBreaker required a comprehensive testing framework to validate the security effectiveness of content filtering, sanitization, and protocol normalization capabilities. Traditional testing approaches were insufficient for evaluating the sophisticated threat detection and mitigation features of Cross Domain Solutions (CDS).
Solution
Talon Security Engineering developed SentinelForge, an advanced purple team test harness that operates as a sidecar service to systematically test ProtocolBreaker implementations. The harness combines red team attack simulation with blue team defensive validation, providing comprehensive security assurance through automated adversarial testing.
Key Capabilities
- Purple Team Methodology: Integrated red/blue team operations for comprehensive security validation
- Ingress/Egress Stimulation: Automated test payload generation targeting both input and output interfaces
- Threat Vector Library: Extensive collection of malicious payloads, protocol exploits, and evasion techniques
- Sanitization Validation: Verifies content disarmament and reconstruction effectiveness
- Performance Benchmarking: Measures filtering efficiency under various load conditions
- Compliance Reporting: Generates audit-ready reports for security certification processes
- Flexible Deployment: Operates as internal sidecar or external testing service
Purple Team Testing Architecture
sequenceDiagram
autonumber
participant RT as 🔴 Red Team
Attack Simulator
participant SF as 🟣 SentinelForge
Test Orchestrator
participant PB as 🛡️ ProtocolBreaker
Under Test
participant BT as 🔵 Blue Team
Validator
participant AR as 📊 Analytics
& Reporting
Note over RT,AR: Test Cycle Initialization
SF->>RT: Load threat vectors
SF->>BT: Configure validation rules
Note over RT,AR: Ingress Interface Testing
RT->>SF: Generate malicious payload
SF->>PB: Inject test data (Ingress)
PB->>PB: Parse & Filter
PB->>BT: Output sanitized data
BT->>SF: Validate sanitization
SF->>AR: Log test result
Note over RT,AR: Egress Interface Testing
RT->>SF: Generate evasion attempt
SF->>PB: Inject test data (Egress)
PB->>PB: Normalize & Validate
PB->>BT: Output normalized data
BT->>SF: Verify normalization
SF->>AR: Log test result
Note over RT,AR: Performance & Stress Testing
RT->>SF: Generate high-volume attacks
SF->>PB: Sustained load injection
PB->>BT: Processed outputs
BT->>SF: Measure throughput & accuracy
SF->>AR: Performance metrics
Note over RT,AR: Reporting & Analysis
AR->>AR: Aggregate results
AR->>SF: Generate compliance report
SF->>SF: Identify vulnerabilities
Sequence Legend
🔴 Red Team: Generates adversarial test payloads and attack vectors
🟣 SentinelForge: Orchestrates testing workflow and coordinates teams
🛡️ ProtocolBreaker: System under test performing security functions
🔵 Blue Team: Validates defensive effectiveness and sanitization
📊 Analytics: Collects metrics and generates compliance reports
Numbers (1-15): Sequential order of operations in test cycle
Deployment Architecture
graph TB
subgraph "Internal Deployment - Sidecar Mode"
A1[SentinelForge
Test Controller]
A2[ProtocolBreaker
Instance]
A3[Shared Network
Namespace]
end
subgraph "External Deployment - Remote Testing"
B1[SentinelForge
Test Service]
B2[VPN/Secure
Connection]
B3[ProtocolBreaker
Production]
end
subgraph "Test Payload Generation"
C1[📦 Threat Vector
Library]
C2[🔧 Payload
Generator]
C3[🎯 Attack
Scenarios]
end
subgraph "Validation Engine"
D1[✅ Sanitization
Checker]
D2[📏 Performance
Monitor]
D3[🔍 Anomaly
Detector]
end
subgraph "Reporting & Analytics"
E1[📊 Metrics
Dashboard]
E2[📄 Compliance
Reports]
E3[🚨 Alert
System]
end
A1 -->|Local IPC| A2
A2 -->|Share| A3
B1 -->|Secure Tunnel| B2
B2 -->|Test Traffic| B3
C1 -->|Feed| C2
C2 -->|Generate| C3
C3 -->|Inject| A1
C3 -->|Inject| B1
A2 -->|Results| D1
B3 -->|Results| D1
D1 -->|Analyze| D2
D2 -->|Detect| D3
D3 -->|Visualize| E1
D3 -->|Generate| E2
D3 -->|Trigger| E3
style A1 fill:#9B59B6,stroke:#091E3E,stroke-width:3px,color:#fff
style B1 fill:#9B59B6,stroke:#091E3E,stroke-width:3px,color:#fff
style C2 fill:#E74C3C,stroke:#091E3E,stroke-width:2px,color:#fff
style D1 fill:#3498DB,stroke:#091E3E,stroke-width:2px,color:#fff
style E2 fill:#2ECC71,stroke:#091E3E,stroke-width:2px,color:#fff
Architecture Legend
🟣 Purple Nodes: SentinelForge test orchestration components
🔴 Red Nodes: Attack simulation and payload generation
🔵 Blue Nodes: Defensive validation and analysis
🟢 Green Nodes: Reporting and compliance outputs
Solid Lines: Data flow and test traffic
Deployment Modes: Internal sidecar or external service
Technology Stack
Python
Docker
Kubernetes
gRPC
PostgreSQL
Prometheus
Grafana
Metasploit
MITRE ATT&CK
Results
10,000+
Threat Vectors Tested
99.7%
Attack Detection Rate
80%
Faster Security Validation
Audit-Ready
Compliance Reports
Security Impact
"SentinelForge transformed our security validation process from manual, time-consuming testing to automated, comprehensive purple team operations. The ability to continuously test our ProtocolBreaker implementation against evolving threat vectors gives us confidence in our Cross Domain Solutions (CDS) posture. The detailed compliance reports have streamlined our certification processes significantly."
— Federal Agency Security Team
Challenge
A Navy Intelligence organization required comprehensive business process re-engineering (BPR) to modernize their end-to-end business development, capture management, and software development lifecycle. Legacy processes were fragmented, lacked transparency, and hindered operational efficiency.
Solution
Talon engineers led a transformative BPR initiative, implementing an integrated Atlassian-based ecosystem that unified tasking, engineering processes, and service intake under a single standardized enterprise Agile framework.
Key Deliverables
- Integrated Atlassian Ecosystem: Deployed Jira Software, Jira Service Management, and custom workflows
- Business Architecture Documentation: Comprehensive process catalog using Confluence with full traceability
- Enterprise Agile Framework: Standardized operating rhythm aligning leadership, engineering, and operations
- Data-Driven Operations: Real-time dashboards and metrics for informed decision-making
- Audit-Ready Processes: Transparent, documented workflows meeting compliance requirements
- AWS GovCloud Advisory: Secure multi-region architecture with cross-domain workflow protection
Business Process Re-engineering Flow
graph LR
A[📋 Opportunity] -->|Qualify| B[📊 Capture]
B -->|Win| C[📝 Proposal]
C -->|Initiate| D[🎫 Service Request]
D -->|Approve| E[📐 Requirements]
E -->|Design| F[🔧 Technical Design]
F -->|Plan| G[📅 Sprint Planning]
G -->|Execute| H[💻 Development]
H -->|Validate| I[✅ Testing]
I -->|Release| J[🚀 Deployment]
J -->|Support| K[🚨 Incident Response]
K -->|Document| L[📚 Knowledge Base]
L -.->|Improve| A
style B fill:#0052CC,stroke:#091E3E,stroke-width:2px,color:#fff
Atlassian Ecosystem Architecture
graph TB
subgraph "Leadership Dashboard"
A[Jira Dashboards
Executive Metrics]
B[Confluence
Strategic Plans]
end
subgraph "Project Management"
C[Jira Software
Agile Boards]
D[Jira Portfolio
Program Management]
E[Confluence
Documentation]
end
subgraph "Service Management"
F[Jira Service Mgmt
IT Service Desk]
G[Jira Service Mgmt
Change Management]
H[Opsgenie
Incident Management]
end
subgraph "Development Tools"
I[Bitbucket
Source Control]
J[Bamboo
CI/CD Pipeline]
K[Confluence
Technical Docs]
end
subgraph "Integration Layer"
L[AWS GovCloud
Infrastructure]
M[Security Hub
Compliance]
N[CloudWatch
Monitoring]
end
A -->|Track| C
B -->|Guide| D
C -->|Document| E
D -->|Coordinate| F
F -->|Escalate| H
G -->|Deploy| J
C -->|Code| I
I -->|Build| J
J -->|Deploy| L
L -.->|Monitor| M
M -.->|Alert| N
N -.->|Notify| H
style C fill:#0052CC,stroke:#091E3E,stroke-width:3px,color:#fff
style F fill:#0052CC,stroke:#091E3E,stroke-width:3px,color:#fff
style L fill:#FF9900,stroke:#232F3E,stroke-width:3px,color:#fff
AWS GovCloud Multi-Region Architecture
graph LR
subgraph "GovCloud US-East"
A1[VPC
Development]
A2[VPC
Production]
A3[Transit Gateway
Cross-Domain]
end
subgraph "GovCloud US-West"
B1[VPC
DR Site]
B2[S3
Backup]
end
subgraph "Security Controls"
C[Security Hub
Compliance]
D[GuardDuty
Threat Detection]
E[Macie
Data Protection]
end
subgraph "Zero Trust"
F[IAM Identity
Center]
G[Network
Firewall]
H[WAF
Application]
end
A1 -->|Promote| A2
A2 -->|Connect| A3
A3 -->|Replicate| B1
A2 -->|Backup| B2
F -->|Authenticate| A1
G -->|Protect| A3
H -->|Filter| A2
C -.->|Monitor| A2
D -.->|Detect| A2
E -.->|Scan| A2
style A2 fill:#FF9900,stroke:#232F3E,stroke-width:3px,color:#fff
style A3 fill:#FF9900,stroke:#232F3E,stroke-width:3px,color:#fff
style C fill:#FF6B6B,stroke:#232F3E,stroke-width:3px,color:#fff
Technology Stack
Jira Software
Jira Service Management
Confluence
Bitbucket
Bamboo
Opsgenie
AWS GovCloud
Zero Trust
Quantum-Ready
Results
60%
Faster Delivery Cycles
100%
Process Traceability
Audit-Ready
Compliance Posture
Customer Impact
"Talon's comprehensive BPR effort transformed our organization from fragmented processes to a unified, data-driven operation. The Atlassian ecosystem integration provided unprecedented visibility and control, while their AWS GovCloud advisory ensured our infrastructure met the highest security standards. We now operate with the agility and transparency required for modern intelligence operations."
— Navy Intelligence Organization Leadership
Challenge
Federal agencies faced significant resource constraints in maintaining RMF compliance, implementing STIG controls, and managing secure cloud infrastructure. Manual processes were time-consuming, error-prone, and difficult to scale across multiple programs.
Solution
Talon Security Engineering developed Aphotic, an advanced Cyber-AI engineering toolset that automates complex cybersecurity tasks through intelligent, context-aware agents and model-driven automation.
Key Capabilities
- Automated RMF Documentation: AI-generated security control narratives aligned with NIST SP 800-53
- STIG Compliance Automation: Intelligent scanning and remediation of security technical implementation guides
- Cloud Security Engineering: Automated infrastructure-as-code generation with built-in security controls
- Context-Aware Agents: AI agents that understand mission context and security requirements
- Continuous Monitoring: Real-time compliance tracking and automated reporting
- Knowledge Base Integration: Leverages DoD, NIST, and CISA security frameworks
AI Architecture
graph TB
subgraph "User Interface"
A[Security Engineer]
B[Compliance Officer]
end
subgraph "AI Agent Layer"
C[RMF Agent
Control Narratives]
D[STIG Agent
Compliance Checks]
E[IaC Agent
Secure Templates]
F[Orchestrator
Multi-Agent Coordination]
end
subgraph "Knowledge Base"
G[NIST 800-53
Controls]
H[DISA STIGs
Requirements]
I[AWS Best
Practices]
end
subgraph "Execution Layer"
J[Terraform/CDK
Deployment]
K[Compliance
Reports]
end
A -->|Request| F
B -->|Request| F
F -->|Route| C
F -->|Route| D
F -->|Route| E
C -.->|Query| G
D -.->|Query| H
E -.->|Query| I
C -->|Generate| K
D -->|Validate| K
E -->|Deploy| J
style F fill:#06A3DA,stroke:#091E3E,stroke-width:3px,color:#fff
style C fill:#FF6B6B,stroke:#091E3E,stroke-width:2px,color:#fff
style D fill:#FF6B6B,stroke:#091E3E,stroke-width:2px,color:#fff
style E fill:#FF6B6B,stroke:#091E3E,stroke-width:2px,color:#fff
AWS Implementation
graph LR
subgraph "Frontend"
A[Web UI
CloudFront + S3]
end
subgraph "AI Processing"
B[Bedrock
Claude/Titan]
C[SageMaker
Custom Models]
D[Lambda
Agent Runtime]
end
subgraph "Data & Knowledge"
E[OpenSearch
Vector DB]
F[DynamoDB
State Management]
G[S3
Knowledge Base]
end
subgraph "Deployment"
H[CodePipeline
CI/CD]
I[CloudFormation
IaC Deployment]
end
A -->|API Gateway| D
D -->|Invoke| B
D -->|Train/Infer| C
B -->|Query| E
D -->|State| F
E -.->|Index| G
D -->|Trigger| H
H -->|Deploy| I
style B fill:#FF9900,stroke:#232F3E,stroke-width:3px,color:#fff
style C fill:#FF9900,stroke:#232F3E,stroke-width:3px,color:#fff
style E fill:#FF9900,stroke:#232F3E,stroke-width:3px,color:#fff
Technology Stack
AWS Bedrock
SageMaker
OpenSearch
Lambda
DynamoDB
Python
LangChain
Claude 3
Results
85%
Time Reduction in RMF Documentation
10x
Faster IaC Generation
Challenge
Pediatric oncology teams faced overwhelming administrative burdens, language barriers with diverse patient families, and the need for rapid access to treatment protocols and clinical decision support during critical care moments.
Solution
Talon Security Engineering provided technical strategy and architecture for Onco-AI, a pediatric oncology support system that combines clinical domain knowledge, AI-based decision assistance, and multilingual communication capabilities to improve physician efficiency and family engagement.
Key Features
- Clinical Decision Support: AI-powered treatment protocol recommendations based on patient history and current research
- Multilingual Communication: Real-time translation and culturally-appropriate medical information for families
- Treatment Navigation: Guided workflows for complex pediatric oncology care pathways
- Knowledge Integration: Seamless access to clinical trials, research papers, and treatment guidelines
- HIPAA Compliance: End-to-end encryption and audit logging for patient data protection
- Mobile-First Design: Accessible on tablets and smartphones for point-of-care use
System Architecture
graph TB
subgraph "User Layer"
A[Physician Portal]
B[Family Portal
Multilingual]
end
subgraph "AI Services"
C[Clinical AI
Decision Support]
D[NLP Engine
Translation]
E[Knowledge Graph
Medical Ontology]
end
subgraph "Data Layer"
F[EHR Integration
HL7/FHIR]
G[Clinical Trials DB]
H[Research Papers
PubMed]
end
subgraph "Security"
I[HIPAA Vault
Encrypted Storage]
J[Audit Logs]
end
A -->|Query| C
B -->|Request| D
C -->|Access| E
E -.->|Pull| F
E -.->|Query| G
E -.->|Search| H
C -->|Store| I
D -->|Store| I
A -.->|Log| J
B -.->|Log| J
style C fill:#06A3DA,stroke:#091E3E,stroke-width:3px,color:#fff
style I fill:#FF6B6B,stroke:#091E3E,stroke-width:3px,color:#fff
AWS Healthcare Architecture
graph LR
subgraph "Frontend - HIPAA Compliant"
A[React App
CloudFront]
end
subgraph "API & AI"
B[API Gateway
WAF Protected]
C[Bedrock
Medical AI]
D[Comprehend Medical
NLP]
end
subgraph "Data Storage"
E[RDS Aurora
Encrypted]
F[S3
PHI Vault]
end
subgraph "Integration"
G[HealthLake
FHIR Store]
H[Lambda
EHR Connectors]
end
subgraph "Security & Compliance"
I[KMS
Encryption]
J[CloudTrail
Audit]
K[GuardDuty
Threat Detection]
end
A -->|HTTPS| B
B -->|Invoke| C
B -->|Process| D
C -->|Query| E
D -->|Store| F
H -->|Sync| G
G -->|Read| E
I -.->|Encrypt| E
I -.->|Encrypt| F
J -.->|Monitor| B
K -.->|Protect| B
style C fill:#FF9900,stroke:#232F3E,stroke-width:3px,color:#fff
style G fill:#FF9900,stroke:#232F3E,stroke-width:3px,color:#fff
style I fill:#FF6B6B,stroke:#232F3E,stroke-width:3px,color:#fff
Technology Stack
AWS HealthLake
Bedrock
Comprehend Medical
RDS Aurora
KMS
React
HIPAA
FHIR
Results
40%
Reduction in Administrative Time
98%
Family Satisfaction Score
Challenge
Federal agencies required comprehensive guidance on modernizing their cybersecurity posture to meet evolving threats, comply with Zero Trust mandates, and prepare for quantum computing risks while maintaining operational continuity across multi-region cloud environments.
Solution
Talon Security Engineering provides ongoing advisory services to government programs, delivering strategic guidance on secure multi-region AWS GovCloud architectures, cross-domain workflow security, and enterprise cybersecurity modernization with a focus on emerging technologies and threat landscapes.
Advisory Services
- Multi-Region GovCloud Architecture: Resilient, compliant cloud infrastructure across AWS regions
- Zero Trust Implementation: Federated identity, micro-segmentation, and continuous verification
- AI-Augmented Engineering: Integration of AI/ML for automated security operations and threat detection
- Quantum-Prepared Infrastructure: Post-quantum cryptography readiness and migration planning
- Cross Domain Solutions (CDS): Secure data flows between classification levels and security domains
- Compliance Automation: Continuous ATO and FedRAMP compliance monitoring
Zero Trust Architecture
graph TB
subgraph "Identity Layer"
A[Federated IdP
PIV/CAC]
B[MFA
Continuous Auth]
end
subgraph "Policy Engine"
C[Policy Decision
Point]
D[Policy Enforcement
Point]
end
subgraph "Micro-Segmentation"
E[Network Zones
VPC Isolation]
F[Application
Segmentation]
end
subgraph "Data Protection"
G[Encryption
At Rest/Transit]
H[DLP
Macie]
end
subgraph "Monitoring"
I[SIEM
Security Hub]
J[Threat Intel
GuardDuty]
end
A -->|Authenticate| B
B -->|Request| C
C -->|Enforce| D
D -->|Access| E
E -->|Isolate| F
F -.->|Protect| G
G -.->|Monitor| H
D -.->|Log| I
I -.->|Detect| J
style C fill:#06A3DA,stroke:#091E3E,stroke-width:3px,color:#fff
style D fill:#06A3DA,stroke:#091E3E,stroke-width:3px,color:#fff
style I fill:#FF6B6B,stroke:#091E3E,stroke-width:3px,color:#fff
Multi-Region GovCloud Architecture
graph TB
subgraph "AWS GovCloud US-East"
A1[VPC
Primary]
A2[EKS Cluster
Workloads]
A3[RDS Aurora
Primary DB]
end
subgraph "AWS GovCloud US-West"
B1[VPC
DR Site]
B2[EKS Cluster
Standby]
B3[RDS Aurora
Read Replica]
end
subgraph "Global Services"
C[Route 53
DNS Failover]
D[CloudFront
Edge Delivery]
E[WAF
DDoS Protection]
end
subgraph "Security & Compliance"
F[Security Hub
Central Monitoring]
G[Config
Compliance]
H[CloudTrail
Multi-Region]
end
C -->|Route| D
D -->|Protect| E
E -->|Primary| A1
E -->|Failover| B1
A1 -->|Deploy| A2
B1 -->|Deploy| B2
A2 -->|Write| A3
A3 -->|Replicate| B3
A1 -.->|Monitor| F
B1 -.->|Monitor| F
F -->|Audit| G
G -.->|Log| H
style A2 fill:#FF9900,stroke:#232F3E,stroke-width:3px,color:#fff
style B2 fill:#FF9900,stroke:#232F3E,stroke-width:3px,color:#fff
style F fill:#FF6B6B,stroke:#232F3E,stroke-width:3px,color:#fff
Technology Stack
AWS GovCloud
EKS
Security Hub
IAM Identity Center
Transit Gateway
Quantum KMS
Terraform
FedRAMP
Results
99.99%
Infrastructure Uptime
6 Months
Faster ATO Process
IL5/IL6
Impact Level Certified
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