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Secure the data.
Engineer the intelligence.

ProtocolGhost provides AI engineering, machine learning, cloud security, database administration, data protection, backup architecture, digital forensics, incident triage, and cybersecurity services for organizations building modern technical systems.

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CAPABILITY_DIRECTORY

AI, cloud, data, and cybersecurity services.

Each engagement is designed around the organization's infrastructure, data sensitivity, cloud environment, security requirements, operational maturity, and long-term technical goals.

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AI Systems Development

Design and build secure AI applications, internal copilots, intelligent automation platforms, retrieval-augmented generation systems, private assistants, and agentic workflows with controlled access to organizational data.

AI Agents Private AI RAG Systems
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Machine Learning Engineering

Build machine learning pipelines for classification, prediction, anomaly detection, computer vision, natural language processing, operational analytics, and security-focused data analysis.

Model Development Anomaly Detection MLOps
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AI Security and Governance

Evaluate AI systems for data leakage, excessive permissions, prompt injection, insecure tool access, model misuse, untrusted input, unsafe automation, and weak governance controls.

Prompt Security Model Risk AI Governance
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Cloud Security Engineering

Secure AWS, Microsoft Azure, Google Cloud, Firebase, hybrid infrastructure, and cloud-native workloads through identity controls, encryption, monitoring, segmentation, policy enforcement, and hardened deployment architecture.

AWS Azure Google Cloud
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Cloud Architecture and Migration

Plan and implement secure cloud migrations, hybrid systems, containerized platforms, serverless services, resilient application environments, and scalable infrastructure designed for performance and recoverability.

Kubernetes Containers Serverless
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Database Administration

Configure, secure, monitor, maintain, migrate, and optimize relational and NoSQL databases while protecting availability, integrity, confidentiality, performance, and recoverability.

SQL NoSQL Performance
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Data Protection and Privacy

Identify sensitive information, reduce unnecessary exposure, implement encryption, improve access controls, define retention policies, and protect data across applications, databases, endpoints, cloud platforms, and backups.

Encryption Data Classification Access Control
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Backup and Disaster Recovery

Design backup strategies that protect critical systems against ransomware, accidental deletion, infrastructure failure, data corruption, insider activity, and regional cloud outages.

Immutable Backups Disaster Recovery Restore Testing
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Digital Forensics

Support evidence preservation, timeline reconstruction, log analysis, endpoint review, account activity analysis, cloud evidence collection, and defensible technical documentation.

Evidence Preservation Timeline Analysis Cloud Forensics
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Cybersecurity Incident Triage

Rapidly assess suspicious activity, compromised accounts, malicious files, unusual network behavior, exposed credentials, unauthorized access, and potential data loss to determine severity and immediate containment priorities.

Initial Assessment Containment Escalation
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Incident Response

Develop and improve incident-response capabilities for ransomware, account compromise, malicious insiders, data exposure, cloud intrusion, application attacks, and operational disruption.

Response Plans Playbooks Recovery
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Detection Engineering and SIEM

Build log collection, alerting, correlation, threat-detection, investigation, and escalation workflows that help teams identify meaningful activity without being overwhelmed by noise.

SIEM Detection Rules Log Pipelines
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Identity and Access Management

Strengthen authentication, authorization, role-based access, privileged accounts, service identities, API access, secrets management, and administrative boundaries across cloud and enterprise environments.

IAM RBAC Zero Trust
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Security Assessments

Review applications, cloud infrastructure, databases, networks, identities, backup systems, administrative practices, data flows, and security controls to identify weaknesses and prioritize remediation.

Risk Analysis Gap Assessment Remediation Planning
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Penetration Testing

Conduct authorized testing of applications, APIs, cloud services, networks, wireless systems, authentication flows, administrative interfaces, and internet-facing infrastructure.

Applications APIs Cloud Infrastructure
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DevSecOps and Secure Automation

Integrate security into software delivery pipelines through automated testing, dependency review, secrets detection, infrastructure validation, container security, policy checks, and secure deployment workflows.

CI/CD Security Infrastructure as Code Supply Chain Security
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IoT, Edge, and Embedded AI

Design and secure connected devices, sensors, robotics platforms, embedded controllers, edge-computing workloads, remote-management systems, and AI-enabled devices operating outside traditional data centers.

Edge AI Embedded Security Device Management
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AI and Cybersecurity Training

Deliver custom technical workshops, guided laboratories, AI-security education, cloud-security training, incident-response exercises, database-security instruction, and workforce development.

Workshops Guided Labs Team Exercises
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Intelligence, infrastructure, and security working as one system.

AI is only as trustworthy as the data, identities, cloud infrastructure, and security controls behind it.

ProtocolGhost engagements connect AI engineering, machine learning, cloud architecture, database administration, data protection, backup and recovery, incident response, and cybersecurity into a unified technical strategy.

Deliverables may include architecture diagrams, AI and cloud risk assessments, database reviews, backup strategies, forensic findings, incident timelines, remediation plans, detection rules, implementation guidance, security playbooks, and follow-up validation.

Protect the data that powers the intelligence.
Secure the cloud that carries the operation.
Build systems that can detect, recover, and adapt.
ProtocolGhost AI, cloud, data, and cybersecurity engineering services images/services/security-consulting.jpg
WHO_WE_SUPPORT

Built for modern data-driven organizations.

ProtocolGhost supports organizations that depend on cloud platforms, databases, automation, machine learning, connected devices, distributed systems, and sensitive information.

Services can be tailored for organizations beginning their cloud or AI journey, teams modernizing legacy environments, and established operations that need stronger security, visibility, recoverability, and technical governance.

AI Startups SaaS Companies Cloud Teams Data Engineering Teams Small Businesses Enterprise Systems Technical Educators Community Organizations
You cannot secure artificial intelligence without securing the data and infrastructure beneath it.
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Tell us what you are building, where your data lives, how your systems operate, and what must remain protected.

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Penetration testing, digital forensics, incident response, evidence collection, cloud assessments, database reviews, and related cybersecurity services are performed only with documented authorization and an agreed scope. Service availability, deliverables, pricing, access requirements, and timelines depend on the engagement.