Anudeep Dumpala
AI Security & Governance Consultant | Deloitte
Building secure, trustworthy, and compliant AI systems through Responsible AI, AI risk management, cloud security, and enterprise security architecture.
I am an AI Security & Governance consultant specializing in helping enterprises adopt Artificial Intelligence securely, responsibly, and at scale.
Over the past 6+ years, I have worked across Deloitte, Accenture, and TCS delivering AI governance programs, secure-by-design initiatives, enterprise cyber risk assessments, and cloud security strategies for large organizations.
My expertise spans the complete AI lifecycle: AI risk identification, governance framework design, security architecture reviews, model risk management, Responsible AI implementation, and regulatory alignment with NIST AI RMF, ISO 42001, ISO 27001, EU AI Act, and NIST 800-53.
I enjoy translating complex AI and cloud security risks into practical engineering controls, audit-ready evidence, and executive-level recommendations that help organizations innovate safely.
AI Security & Governance
- AI Governance
- Responsible AI
- Model Risk Management
- AI Threat Modeling
- AI Lifecycle Security
- Secure AI SDLC
Security Frameworks
- NIST AI RMF
- ISO 42001
- ISO 27001
- NIST 800-53
- ISO 31000
- EU AI Act
- PCI DSS
Cloud Security
- AWS Security
- Azure Security
- Google Cloud Security
- CSA CCM
- Cloud Governance
- Security Posture Reviews
Enterprise Security
- Secure by Design
- Identity and Access Management
- Data Security
- Privacy Impact Assessments
- Infrastructure Security
- Database Security
Consulting & Delivery
- Control Design and Reviews
- Audit Readiness
- POA&M and SAR Reporting
- Executive Risk Reporting
- Security Governance
- Mentoring and Enablement
Featured Focus
Practical governance for AI systems: defining controls, reviewing architectures, mapping risk to frameworks, and helping delivery teams move from policy to secure implementation.
Mar 2026 - Present
- Develop secure AI engineering guidance for enterprise delivery teams, translating AI governance expectations into practical SDLC controls.
- Conduct AI governance and security assessments using NIST AI RMF, NIST 800-53, ISO 42001, and responsible AI principles.
- Prepare executive-ready security documentation, including POA&M, SAR, and AI governance reporting for cloud and hybrid environments.
- Review AI architectures for data exposure, control coverage, model risk, compliance readiness, and secure deployment pathways.
- Mentor consultants on secure AI practices, control interpretation, and evidence-driven governance delivery.
Oct 2021 - Mar 2026
- Identified compliance and risk gaps across enterprise applications and provided remediation aligned with ISO 27001, ISO 31000, NIST CSF, and internal security policies.
- Assessed AI and GenAI applications for Responsible AI alignment, privacy compliance, data usage, model exposure, and BAU integration readiness.
- Validated pre-deployment security readiness across IAM, data privacy, database, infrastructure, vulnerability, and hosting controls.
- Supported cloud security and governance assessments across AWS, Azure, and Google Cloud environments.
- Improved audit preparedness by enforcing ITGC and ITAC controls across applications and infrastructure components.
Nov 2020 - Jul 2021
- Built and enhanced financial application features while aligning with PCI DSS and internal security policies.
- Performed risk and control self-assessments for core banking modules and supported remediation tracking for compliance readiness.
- Executed Unix-based environment validations and release checks to support stable, secure deployments.
Enterprise Secure AI Framework
Designed a governance approach aligned to NIST AI RMF, ISO 42001, and enterprise risk practices to help teams evaluate AI use cases, control readiness, and risk acceptance.
Secure AI Developer Guide
Created implementation guidance that converts AI security and Responsible AI expectations into delivery checkpoints for design, development, testing, deployment, and monitoring.
Cloud Security Assessment Framework
Built reusable assessment patterns for AWS, Azure, and Google Cloud covering IAM, audit logging, encryption, data protection, infrastructure hardening, and compliance evidence.
Security-by-Design Reviews
Assessed enterprise applications across IAM, privacy, database, hosting, infrastructure, and vulnerability controls to support deployment readiness and reduce control deviations.
Professional Cloud Security Engineer
Professional Cloud Architect
Professional Machine Learning Engineer
Solutions Architect Associate
ISO 31000 Risk Management
Payment Card Industry Security
GH-300 GitHub Copilot
Associate Cloud Engineer and Cloud Digital Leader
2016 - 2020
SRKR Engineering College, Andhra University
Completed the degree with 8.54 CGPA and built a foundation in software engineering, systems thinking, and secure application development.
Location
Bengaluru, Karnataka, India
linkedin.com/in/anudeepdumpala
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