What is the First 90 Days course about?
A step-by-step implementation path for CISOs and compliance leads establishing AI and mobile governance in federal public safety environments Each order is checked and updated against the latest insights before delivery. That is why access takes up to 24 hours rather than being instant.
What situation is the First 90 Days for?
Federal compliance teams routinely face pressure when introducing AI or mobile systems, with evidence packages breaking down under audit scrutiny due to incomplete mapping, unclear ownership, or delayed testing cycles. The cost is bandwidth, credibility, and deployment delays.
Who is the First 90 Days course for?
Senior federal compliance and security leaders responsible for certifying new technology deployments against NIST 800-53, especially in time-sensitive public safety contexts.
What do you take away from the First 90 Days course?
Build a complete NIST 800-53 control implementation package for AI and mobile systems in under 14 days Eliminate recurring evidence rework with pre-validated control templates Align cross-functional teams (security, legal, engineering) on compliance scope from launch Anticipate auditor questions with embedded justification patterns for high-risk controls Reuse validation artifacts across multiple AI and mobile initiatives.
What's included with your purchase?
12 modules with 12 chapters each (144 chapters) Downloadable templates and worked examples for every module Hand-built implementation playbook delivered alongside course access 30-day money-back guarantee.
What does the First 90 Days cover on delivery and format?
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access. Time investment: 90 minutes per module, designed for completion over six weeks with weekend blocks.
How does this compare to the alternatives?
Unlike generic NIST 800-53 overviews, this course provides implementation-grade templates and decision logic specific to AI and mobile in federal public safety , the exact context where most compliance leaders face uncertainty.
What does the First 90 Days cover on frequently asked?
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.
Closely related courses: FedRAMP High Authorization in 90 Days, First 90 Days Evaluation and First 90 Days Evaluation Kit, First 90 Days Toolkit, First 100 Days Toolkit.
More answers: what you get with every course, refund policy, all help answers.
A tailored course, built for your situation
First 90 Days: Building Trusted Compliance for AI and Mobile in Federal Public Safety
A step-by-step implementation path for CISOs and compliance leads establishing AI and mobile governance in federal public safety environments
Each order is checked and updated against the latest insights before delivery. That is why access takes up to 24 hours rather than being instant.
The situation this course is for
Federal compliance teams routinely face pressure when introducing AI or mobile systems, with evidence packages breaking down under audit scrutiny due to incomplete mapping, unclear ownership, or delayed testing cycles. The cost is bandwidth, credibility, and deployment delays.
Who this is for
Senior federal compliance and security leaders responsible for certifying new technology deployments against NIST 800-53, especially in time-sensitive public safety contexts
Who this is not for
Junior auditors, non-federal practitioners, or teams focused solely on legacy IT compliance without emerging tech exposure
What you walk away with
- Build a complete NIST 800-53 control implementation package for AI and mobile systems in under 14 days
- Eliminate recurring evidence rework with pre-validated control templates
- Align cross-functional teams (security, legal, engineering) on compliance scope from launch
- Anticipate auditor questions with embedded justification patterns for high-risk controls
- Reuse validation artifacts across multiple AI and mobile initiatives
The 12 modules (with all 144 chapters)
- Understanding the federal public safety compliance landscape
- Defining AI and mobile use cases for public safety missions
- Mapping organizational roles to compliance responsibilities
- Identifying key decision points in the first 90 days
- Aligning with executive priorities in public safety operations
- Setting measurable compliance success criteria
- Documenting initial risk tolerance and decision boundaries
- Creating a shared vocabulary for cross-functional teams
- Establishing communication cadence with oversight bodies
- Integrating public safety mission requirements into compliance planning
- Reviewing recent enforcement patterns in federal tech audits
- Building your project charter for the first 90 days
- Overview of NIST 800-53 structure and control families
- Control tailoring principles for AI systems
- Applying NIST 800-53 to mobile device ecosystems
- Distinguishing between inherited and new controls
- Mapping AI model lifecycle stages to control applicability
- Identifying baseline controls for public safety systems
- Handling control overlap between AI and mobile layers
- Using scoping guidance to avoid over-compliance
- Documenting rationale for control exclusions
- Leveraging existing system security plans for faster mapping
- Integrating privacy controls with security requirements
- Validating control applicability with engineering teams
- Identifying high-impact controls for AI decision-making
- Tailoring access control for AI model parameters
- Applying configuration management to training pipelines
- Enforcing audit logging for model inference events
- Mapping data provenance requirements to control objectives
- Adapting risk assessment practices for AI uncertainty
- Handling model drift detection as a continuous control
- Incorporating explainability requirements into control design
- Addressing bias mitigation as a compliance obligation
- Defining testing frequency for AI-specific controls
- Documenting tailoring decisions for auditor review
- Aligning AI controls with OMB AI governance mandates
- Securing mobile device provisioning for first responders
- Enforcing encryption standards on mobile endpoints
- Implementing remote wipe and lock capabilities
- Managing app store restrictions for public safety devices
- Monitoring for unauthorized mobile data exfiltration
- Applying least privilege to mobile application permissions
- Integrating MDM solutions with central logging
- Validating geolocation data handling controls
- Ensuring compliance during offline mobile operations
- Handling device loss reporting and incident response
- Auditing mobile access to sensitive backend systems
- Testing control effectiveness in field conditions
- Structuring the SSP for hybrid AI-mobile systems
- Documenting system boundaries and interconnections
- Describing control implementation narratives clearly
- Incorporating AI model cards into the SSP
- Attaching mobile device configuration baselines
- Referencing third-party attestations and certifications
- Including risk acceptance documentation
- Versioning and change control for the SSP
- Obtaining stakeholder sign-offs efficiently
- Preparing the SSP for continuous monitoring
- Aligning SSP language with auditor expectations
- Using templates to accelerate future SSP creation
- Defining assessment objectives for AI systems
- Selecting appropriate assessment methods for mobile controls
- Scoping penetration testing for AI endpoints
- Planning control testing during model retraining cycles
- Scheduling mobile device spot checks in the field
- Identifying assessors with AI and mobile expertise
- Documenting sampling strategies for large device fleets
- Creating test scripts for automated control checks
- Establishing evidence thresholds for each control
- Coordinating assessment timing with deployment cycles
- Integrating vendor assessment results into the plan
- Reviewing past audit findings to inform test focus
- Initiating assessment activities with stakeholder notice
- Collecting AI model documentation for review
- Validating mobile device configuration compliance
- Testing access control enforcement in real scenarios
- Reviewing audit logs for suspicious AI behavior
- Assessing incident response readiness for mobile breaches
- Evaluating third-party component security in AI stacks
- Conducting interviews with system administrators
- Documenting observed control deficiencies clearly
- Capturing evidence in auditor-admissible formats
- Maintaining chain of custody for digital artifacts
- Reporting initial findings to system owners
- Categorizing findings by risk level and effort
- Writing clear remediation descriptions for AI issues
- Setting realistic milestones for mobile device updates
- Assigning ownership across technical and compliance teams
- Linking POA&M items to specific NIST 800-53 controls
- Estimating resource requirements for each action
- Establishing verification methods for completed items
- Prioritizing fixes that enable system accreditation
- Incorporating vendor patch timelines into scheduling
- Tracking dependencies between POA&M items
- Updating the POA&M during ongoing system changes
- Using the POA&M as a communication tool with leadership
- Compiling the authorization package components
- Writing the senior leadership risk statement
- Summarizing control effectiveness for decision-makers
- Highlighting public safety mission benefits of the system
- Addressing high-risk findings transparently
- Including test results from AI adversarial simulations
- Demonstrating mobile security in real-world conditions
- Attaching independent assessment reports
- Documenting residual risk acceptance decisions
- Formatting the package for fast review cycles
- Coordinating pre-decision briefing materials
- Anticipating questions from the authorizing official
- Defining continuous monitoring frequency for AI models
- Automating mobile device compliance checks
- Integrating AI monitoring alerts into SOC workflows
- Scheduling periodic reassessments of high-risk controls
- Updating documentation for model version changes
- Tracking mobile OS patch compliance across fleets
- Maintaining an up-to-date inventory of AI components
- Conducting quarterly control reviews with stakeholders
- Using dashboards to visualize compliance posture
- Responding to emerging threats with control updates
- Documenting changes for audit trail completeness
- Planning for system decommissioning and data erasure
- Facilitating kickoff meetings with technical teams
- Translating compliance requirements into engineering tasks
- Creating shared documentation repositories
- Establishing escalation paths for control conflicts
- Conducting compliance readiness check-ins
- Providing just-in-time training for new team members
- Aligning sprint planning with compliance milestones
- Managing change requests that impact controls
- Communicating audit findings to non-compliance staff
- Celebrating compliance milestones with the team
- Gathering feedback to improve the process
- Documenting lessons learned for future deployments
- Identifying common patterns across public safety systems
- Creating reusable templates for control implementation
- Standardizing documentation formats across teams
- Building a center of excellence for AI compliance
- Developing onboarding materials for new programs
- Sharing lessons learned across federal agencies
- Influencing policy updates based on implementation experience
- Advocating for tooling investments that reduce manual work
- Measuring compliance efficiency over time
- Reducing time-to-compliance for subsequent deployments
- Positioning your team as an internal resource
- Contributing to federal guidance on emerging technologies
How this maps to your situation
- First 90-day compliance planning
- Control selection and tailoring
- Documentation and evidence packaging
- Sustained compliance operations
Before vs. after
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters)
- Downloadable templates and worked examples for every module
- Hand-built implementation playbook delivered alongside course access
- 30-day money-back guarantee
Delivery and format
- Course and learning environment access provisioned within 24 hours of purchase
- Hand-built implementation playbook delivered alongside course access
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.
Time investment: 90 minutes per module, designed for completion over six weeks with weekend blocks.
How this compares to the alternatives
Unlike generic NIST 800-53 overviews, this course provides implementation-grade templates and decision logic specific to AI and mobile in federal public safety , the exact context where most compliance leaders face uncertainty.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.