AI and Quantum Cybersecurity for Emergency Services (AIQCES) Certification Program by Tonex
Emergency services increasingly rely on AI-enabled dispatch, sensors, and connected gear operating across mission-critical networks. This program develops practical fluency in defending those systems against advanced threats while preparing for quantum-era risks. Participants learn how to design quantum-safe architectures, harden AI pipelines, and automate monitoring without disrupting response times.
The content connects technical controls with real public safety workflows so teams can protect communications, telemetry, and decision support under pressure. Cybersecurity impact is emphasized throughout, showing how resilient authentication, encrypted radio backhauls, and trustworthy AI models reduce operational risk, protect citizens, and safeguard responders. By the end, attendees can map threats, select compensating controls, and create an actionable roadmap aligned to emergency service priorities.
Learning Objectives
- Identify AI and quantum risks affecting emergency communications and data flows
- Design secure topologies for stations, vehicles, and field devices
- Apply quantum-safe encryption choices to protect critical links
- Implement AI monitoring and SOC automation that supports rapid response
- Align controls to NFPA and federal frameworks for compliance readiness
- Build incident response playbooks tailored to public safety operations
- Strengthen resilience with a cybersecurity mindset across people, process, and technology
Audience
- IT Managers
- Cyber Officers
- Emergency Network Administrators
- Public Safety Communications Engineers
- Operations and Continuity Planners
- Cybersecurity Professionals
Program Modules
Module 1: AI and Quantum Threat Landscape
- Modern attacker tactics in public safety
- AI model poisoning and evasion risks
- Quantum impact on current cryptography
- Field telemetry and IoT weak points
- Vehicle, UAV, and body-cam exposure
- Risk prioritization for response tempo
Module 2: Quantum-Safe Emergency Network Architecture
- PQC algorithm selection and tradeoffs
- Key management for fleet devices
- End-to-end encrypted radio backhaul
- Segmenting CAD, RMS, and OT zones
- Zero-trust identity for responders
- Inter-agency secure interoperability patterns
Module 3: AI Monitoring and SOC Automation
- Telemetry collection from edge assets
- Anomaly detection for 911 workloads
- Playbooks with automated containment
- MLOps security for model integrity
- Alert tuning for low false positives
- KPIs and dashboards for command staff
Module 4: Incident Response and Continuity Planning
- Threat hunting in mixed IT/OT fleets
- Tactical comms failover and routing
- Forensics for AI decisions and data
- Ransomware containment in stations
- Recovery objectives for critical apps
- Exercises and after-action improvement
Module 5: Federal and NFPA Cybersecurity Compliance Mapping
- Mapping NFPA 1225 and related texts
- NIST CSF and 800-53 control families
- CJIS, HIPAA intersections in operations
- Evidence artifacts and audit readiness
- Supplier security and contract clauses
- Governance, roles, and approval paths
Module 6: Implementation Roadmap and Readiness Assessment
- Current-state maturity benchmarking
- Gap analysis against mission needs
- Prioritized control rollout sequencing
- Budget, grants, and procurement levers
- Change management and training plans
- Roadmap metrics and executive reporting
Exam Domains
- Post-Quantum Cryptography Fundamentals
- AI Anomaly Detection and Telemetry
- Secure Communications for First Responders
- Governance Risk and Compliance for Public Safety
- Operational Resilience and Continuity Engineering
- Ethical AI and Data Stewardship
Course Delivery
The course is delivered through a combination of lectures, interactive discussions, hands-on workshops, and project-based learning, facilitated by experts in the field of AI and Quantum Cybersecurity for Emergency Services. 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 AI and Quantum Cybersecurity for Emergency Services (AIQCES).
Question Types
- Multiple Choice Questions (MCQs)
- Scenario-based Questions
Passing Criteria
To pass the AI and Quantum Cybersecurity for Emergency Services (AIQCES) Certification Training exam, candidates must achieve a score of 70% or higher.
Strengthen the cyber-resilience of your emergency services today—reserve your seat for AIQCES by Tonex and equip your team with quantum-ready, AI-secure capabilities that protect responders and the communities they serve.