Technical Expertise & Specializations

What I Secure:

• Large Language Models (LLMs) and generative AI systems
• Machine learning pipelines and training infrastructure
• AI-powered SaaS features and products
• Model APIs and inference endpoints
• Training data and model artifacts

AI-Specific Threats I Defend Against:

• Prompt injection and jailbreaking attacks
• Model inversion and extraction attacks
• Training data poisoning and backdoors
• Adversarial inputs and evasion techniques
• Data leakage through model outputs
• Unauthorized model access and theft

Proven Experience:

• Co-founded Amazon's AI Security Organization
• Created security standards for 500+ AI development teams
• Secured 200+ AI models in production environments
• Reduced AI security assessment time by 70% through automation
• Advised VPs and CISOs on AI security strategy

Authorization Models I Implement:

• Attribute-Based Access Control (ABAC)
• Fine-Grained Access Control (FGAC)
• Role-Based Access Control (RBAC)
• Zero Trust Architecture
• Policy-as-Code frameworks
• OAuth 2.0 / SAML / JWT implementations

Proven Results:

• 35% reduction in unauthorized access incidents
• Successfully implemented for 50+ development teams at Amazon
• Scaled systems from 10 users to 10,000+ users seamlessly
• Reduced time to implement new permission rules from weeks to days

Technologies:

AWS IAM, Azure AD, PostgreSQL, Custom authorization engines, Policy frameworks

Security Processes I Automate:

• Vulnerability scanning and risk prioritization
• Security review workflows and approvals
• Incident response playbooks
• Compliance reporting and evidence collection
• Threat detection and alerting
• Security metrics and dashboards

Technical Stack:

• Languages: Python (Expert), Bash, JavaScript/Node.js
• Cloud: AWS (Lambda, Step Functions, EventBridge, SQS)
• Infrastructure as Code: Terraform, Ansible, CloudFormation
• Analytics: Elasticsearch, Kibana, Splunk, SQL
• Security Tools: Custom-built + integration with commercial tools

Impact From Real Projects:

• 70% reduction in manual security assessment work
• 66% faster incident response time (4 hours → 1 hour)
• 30% reduction in false positive alerts
• 15% faster security reviews for 100,000+ applications
• Enabled security teams to scale without proportional headcount increases

Assessment Types:

• Secure architecture design reviews
• Source code security audits
• API security assessments
• Web application penetration testing
• Threat modeling workshops
• Security requirements gathering
• Third-party integration reviews

Tools & Approaches:

• OWASP Top 10 + OWASP LLM Top 10 (for AI apps)
• Static Analysis: Semgrep, CodeQL, Bandit
• Dynamic Analysis: Burp Suite, OWASP ZAP
• Manual code review with security focus
• Threat modeling (STRIDE, PASTA methodologies)
• Security testing in CI/CD pipelines

Experience at Scale:

• Reviewed security posture for 100,000+ applications
• Led secure design reviews with VPs and CISOs
• Advised 40+ healthcare companies on secure architecture
• Conducted security reviews for high-impact product launches
• Created security review frameworks reducing assessment time by 15%

What I Investigate:

• Security breaches and unauthorized access
• Insider threat detection and analysis
• Data exfiltration incidents
• Compromised accounts and credentials
• Malware infections and persistent threats
• Policy violations and anomalous behavior

Tools & Approaches:

• Digital Forensics: EnCase, FTK, Cellebrite
• Network Analysis: Wireshark, tcpdump, Zeek
• Log Analysis: Splunk, ELK Stack, AWS CloudTrail
• Memory Forensics: Volatility
• Behavioral Analytics: Custom ML-based detection
• Evidence Preservation: Chain of custody procedures

Track Record:

• Investigated 200+ security incidents at Amazon
• 95% case closure rate within SLA
• Created 12 new insider threat detection rules
• Reduced incident response time by 66% through automation
• Built investigation methodology reducing new analyst onboarding by 50%
• Experience with incidents ranging from insider threats to external breaches

What I Secure:

• Kubernetes clusters and container security
• CI/CD pipelines and software supply chain
• Data lakes and analytics infrastructure
• Serverless architectures (Lambda, API Gateway)
• Network segmentation and zero-trust networking
• Secrets management and encryption key lifecycle
• Cloud workload protection and runtime security

Platform Expertise:

• AWS (Expert): IAM, VPC, Security Groups, GuardDuty, CloudTrail, KMS, etc.
• Microsoft Azure (Proficient): Azure AD, Security Center, Key Vault
• GCP (Familiar): IAM, Cloud Security Command Center
• Infrastructure as Code: Terraform (Expert), AWS CloudFormation, Ansible

Cloud Components I Secure:

• Kubernetes clusters and container security
• CI/CD pipelines and software supply chain
• Data lakes and analytics infrastructure
• Serverless architectures (Lambda, API Gateway)
• Network segmentation and zero-trust networking
• Secrets management and encryption key lifecycle
• Cloud workload protection and runtime security

Real-World Implementations:

• Security analytics data lake processing 10TB+ daily events
• Cloud security posture management for 100,000+ applications
• Zero-trust architecture implementations
• Multi-cloud security strategy for enterprise migrations
• Secure Kubernetes deployments for microservices architectures

Frameworks I Work With:

• SOC 2 (Type I and Type II)
• ISO 27001
• HIPAA (for healthcare applications)
• GDPR (data privacy requirements)
• NIST Cybersecurity Framework
• CMMC (for DoD contractors)
• PCI DSS (for payment processing)

Compliance Services:

• Gap analysis against framework requirements
• Control implementation and documentation
• Security policy and procedure development
• Evidence collection and audit preparation
• Risk assessments and risk registers
• Vendor risk management programs
• Employee security awareness training

How I Approach Compliance:

• Start with gap analysis to understand current state
• Prioritize controls by business impact and audit risk
• Implement controls that actually improve security (not just paperwork)
• Document thoroughly to make audits smooth
• Build compliance-as-code where possible for continuous compliance