Certified ISR–EW–AI Integration Architect (CIEAIA) Certification Program by Tonex
The CIEAIA program equips professionals to architect integrated intelligence, surveillance, and reconnaissance with electronic warfare powered by AI for automation, resilience, and precision targeting across contested domains. Participants learn to design interoperable frameworks that fuse multi-INT data, accelerate OODA loops, and orchestrate effects from edge to enterprise. Cybersecurity strengthens mission assurance by safeguarding sensor-to-shooter data paths.
Robust cybersecurity reduces attack surfaces across radios, data links, and AI pipelines. Continuous cybersecurity monitoring preserves model integrity and protects decision superiority against adversarial threats. Graduates leave with a blueprint for standards-based architectures using MOSA, SOSA, FACE, and CMOSS that scale across platforms, vendors, and theaters while meeting compliance and governance demands.
Learning Objectives
- Design ISR–EW interoperability architectures aligned to MOSA, SOSA, FACE, and CMOSS
- Engineer AI pipelines for signal exploitation, multi-source fusion, and decision support
- Specify cognitive sensing and edge intelligence for low-latency, contested environments
- Model multi-agent coordination for cross-platform ISR–EW effects and asset tasking
- Establish governance for data, models, and lifecycle MLOps across the kill chain
- Quantify performance, reliability, and ethics metrics for operational readiness
- Harden architectures with cybersecurity controls that protect data, models, and links
Audience
- Systems Engineers
- ISR Architects
- EW Strategists
- AI and Data Engineers
- Program and Capability Managers
- Defense Technologists and Integrators
- Cybersecurity Professionals
Course Modules
Module 1: ISR–EW Integration Basics
- ISR and EW roles across the kill chain
- Mission threads and operational use cases
- Interoperability patterns and data pathways
- Latency, bandwidth, and timing constraints
- Trust, validation, and verification principles
- Readiness metrics and mission outcomes
Module 2: Open Standards Foundation
- MOSA principles and conformance paths
- SOSA slot profiles and payload mapping
- FACE portability for avionics software
- CMOSS backplanes and modularity choices
- Transport profiles and data models
- Vendor neutrality and lifecycle sustainment
Module 3: AI Signal Exploitation
- RF signal detection and classification
- Time-frequency features and embeddings
- Supervised and self-supervised workflows
- Data labeling, drift, and bias control
- Model deployment and AIOps practices
- Robustness against adversarial spoofing
Module 4: Fusion and Edge Intelligence
- Multi-INT fusion levels and algorithms
- Edge inference and resource orchestration
- Streaming analytics and event processing
- Model rollout, versioning, and rollback
- Telemetry, observability, and logging
- Cyber-resilient edge update strategy
Module 5: Cognitive Sensors and Control
- Adaptive sensing and waveform agility
- Closed-loop tasking and prioritization
- Policy-driven autonomy and safeguards
- Human-on-the-loop decision aids
- Contested spectrum deconfliction methods
- Safety, ethics, and compliance guardrails
Module 6: Multi-Agent Coordination
- Agent roles, contracts, and protocols
- Distributed planning and deconfliction
- Swarm behaviors and emergent effects
- Cross-domain synchronization cues
- Resilient comms and fallback modes
- KPIs, testing, and fielding strategy
Exam Domains
- Mission Architecture and Threads
- Open Standards Compliance
- AI for Signal Exploitation
- Data Fusion and Edge Analytics
- Autonomy, Governance, and Ethics
- Cyber Resilience and Assurance
Course Delivery
The course is delivered through a combination of lectures, interactive discussions, and project-based learning, facilitated by experts in the field of Certified ISR–EW–AI Integration Architect CIEAIA. Participants will have access to online resources, including readings, case studies, and tools for practical exercises.
Assessment and Certification
Participants will be assessed through quizzes, assignments, and a capstone project. Upon successful completion of the course, participants will receive a certificate in Certified ISR–EW–AI Integration Architect CIEAIA.
Question Types
- Multiple Choice Questions MCQs
- Scenario-based Questions
Passing Criteria
To pass the Certified ISR–EW–AI Integration Architect CIEAIA Certification Training exam, candidates must achieve a score of 70% or higher.
Ready to architect secure, AI-enabled ISR–EW systems that deliver decisive advantage? Enroll in the CIEAIA Certification Program by Tonex and elevate your mission impact today.