Cybersecurity Strategy
Strengthen security posture, resilience, incident readiness and enterprise cyber programs.
CYBERSECURITY • GRC • RESPONSIBLE AI
Trust is the strategy.
Make it work.
I connect cybersecurity, governance and responsible AI to help organizations turn complex risk into clear decisions.
State GovernmentPublic SafetyCorrectionsTechnologyEmergency Services
LEADER. PRACTITIONER. BUILDER.
- Security strategy
- Governance & risk
- Responsible AI
- Secure applications
INDUSTRY-LEADING CREDENTIALS
CISMCRISCCIPMCIPTAIGPCEHAssociate C|CISOPMPCSMCSPOSix Sigma Black Belt
01 / THE WORK
Complex challenges. Clear direction.
Start with what matters to your organization. Explore the work behind each area of focus.
Governance, Risk & Compliance
Build scalable governance, risk and compliance programs aligned to business priorities.
Responsible AI
Establish responsible AI policies, controls, risk frameworks and operating models.
Secure AI Applications
Build secure AI-powered tools and automations that solve real operational problems.
Executive Leadership
Translate cyber, GRC and AI complexity into clear priorities, decisions and organizational direction.
03 / CONVERSATIONS THAT MATTER
Ideas that move the room forward.
Keynotes, panels, podcasts and professional conversations that make cybersecurity, GRC and responsible AI clear and actionable.
Invite Natasha to speak →
Leading Responsible AI
How organizations can move from AI experimentation to governance, accountability and sustainable adoption.
Modern GRC That Works
Building governance and risk programs that support decisions instead of becoming a paperwork exercise.
Cyber Leadership Beyond Controls
Connecting security strategy, operational resilience, culture and executive decision-making.
Building Secure AI Applications
Lessons from applying security and governance principles to AI-powered tools and workflows.
02 / THE APPLICATION LAB
From thinking about AI to putting it to work.
Explore small, working examples of governance in practice. Change the inputs and see how the next steps change.
INTERACTIVE DEMO
What should be reviewed first?
Try a fictional AI use case. These inputs determine which reviews to prioritize.
TECHNOLOGY PROCUREMENT • SAAS • THIRD-PARTY RISK
Technology Contract & SaaS Risk Review
An AI-assisted workflow for reviewing technology, SaaS, cloud and AI-enabled vendor agreements through a cybersecurity, privacy, governance and operational-risk lens.
More than contract summarization.
The workflow connects contract language to technology risk, required controls, governance decisions and recommended actions.
VENDOR ASSESSMENT
Review in progress
Cloud Service Agreement
Overall risk
HIGH
Issues identified
12
Escalations
4
HIGH RISK
AI + DATA USE
Customer data may be used for model improvement
Vendor language permits customer information to be used for model training and product improvement.
RECOMMENDED DECISION
Approve with conditions
Review clause →
OTHER APPLICATION CONCEPTS
Practical workflows across AI governance, security and third-party risk.
AI Governance Intake
USE CASE
Risk score
82
HIGH
Data classificationComplete
Human oversightComplete
Vendor assessmentRequired
AI GOVERNANCE
AI Governance Intake & Risk Triage
Intake AI use cases, identify risk indicators, classify review requirements and document governance decisions.
Secure AI Assessment
ARCHITECTURE
User→API→Model
Identity & accessPass
Data handlingReview
Model controlsPass
AI SECURITY
Secure AI Application Assessment
Evaluate AI-powered applications across architecture, identity, data flows, model usage, privacy, security controls and deployment readiness.
Third-Party AI Review
VENDOR
42
Vendor risk
Moderate
VENDOR GOVERNANCE
Vendor & Third-Party AI Risk Review
Examine vendors that use or provide AI and connect due-diligence findings to security, privacy, contractual and governance requirements.
Prototype portfolio. Functional labels describe the problems being explored and are not final product names.
04 / BUILD YOUR CAPABILITY
Learn the work. Then lead the work.
Coaching for professionals entering the field, expanding into governance and AI, or learning how to move from using AI tools to building and governing AI-powered applications.
GRC & Cyber Governance
Develop practical capability in how governance, risk and compliance operate inside real organizations — from assessing risk and designing controls to communicating results with leadership.
Risk assessment methodology
NIST & control frameworks
Policy & control development
Third-party risk
Audit & regulatory readiness
Executive risk reporting
AI Governance & Security
Learn how organizations move from experimenting with AI to governing it responsibly through repeatable risk, policy, security and oversight processes.
AI inventories & use-case intake
NIST AI RMF
AI risk classification
AI policies & standards
Third-party AI risk
Responsible AI controls
Build AI Applications
Move from an AI idea to a functioning application while learning how architecture, security, data, governance and deployment fit together.
Use-case definition
AI-assisted development
Model & API integration
Secure application architecture
Threat modeling & privacy
Testing & deployment
READY TO GO DEEPER?
Build the capability to do the work — not just talk about it.
Share where you are now, what you are trying to accomplish and the skills you want to build.
05 / BEHIND THE WORK
Strategic mindset. Technical depth. Practical execution.
I’m Natasha — a cybersecurity, GRC and AI leader focused on helping organizations make trust part of how they operate. My work brings together enterprise security strategy, risk management, responsible AI adoption and secure application development.
- Cybersecurity leadership and enterprise security strategy
- GRC program development, risk management and compliance transformation
- AI governance, organizational AI enablement and responsible adoption
- Secure AI-coded applications and automation
- Executive communication, public speaking and cross-functional leadership
PERSPECTIVE & IMPACT
Making complex issues clear, practical and actionable.
Build a practical GRC program stakeholders can actually use — with clearer accountability, stronger controls and better visibility into risk.
Create responsible AI guardrails that help organizations move faster without losing control of security, privacy or compliance.
Turn cyber and AI strategy into implementation — from governance and policy through secure applications, automation and measurable outcomes.
LET’S START A CONVERSATION
What are you ready to move forward?
Explore a collaboration, invite a conversation, discuss cybersecurity or AI governance, or take the next step in your own practice.