Applied AI
Secure AI Agents for PII/PHI: Production-Grade Patterns and Governance
Secure AI agents for PII/PHI require end-to-end protection, governance, and reliability embedded from design to operation.
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Technical Advisory & Systems Research
Engineering Perspectives
Deep dives into Agentic Workflows, distributed systems, and the architectural rigor required to move AI from experimentation to enterprise-grade production.
Applied AI
Secure API key management for AI agents in production
Secure API key management is not optional for AI agents in production. The keys grant access to external services, data stores, and model endpoints; mishandling them leads to data exfiltration, service outages, or governance violations.
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Applied AI
Securing Agentic Workflows: Defending Against Prompt Injection in Autonomous Systems
Prompt injection is a real risk in production agentic workflows. The fastest path to resilience is a defense-in-depth architecture that clearly separates data.
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Applied AI
Securing AI Agents: Guarding Proprietary Client Data Across Agentic Workflows
Securing AI agents requires an architecture-first approach that prevents leakage across prompts, memory, and logs. In production, data boundaries, zero-trust.
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Applied AI
Securing AI Buy-In: An Enterprise Playbook
Securing buy-in for AI projects starts with a credible architectural plan that translates data and model promises into measurable business value, with governance and a staged modernization path that reduces risk.
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Applied AI
Securing AI chat histories in production: practical patterns and governance
Securing AI chat histories in production is not a one-off security toggle. It is a disciplined data-plane problem that requires layered controls across encryption, access governance, data minimization, and auditable operational processes.
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Applied AI
Securing API Keys in Distributed Agentic Environments
Securing API Keys in Distributed Agentic explains practical architecture, governance, observability, and implementation trade-offs for reliable production systems.
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Applied AI
Securing Autonomous Supply Chains in the Agentic Era
In the agentic era, autonomous supply chains rely on a distributed fabric of AI agents, edge devices, and cloud services that must operate with predictable security properties.
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Applied AI
Securing Crown Jewel Data for LLM Fine-Tuning: IP, Governance, and Production-Grade Security
Securing crown jewel data in enterprise AI requires more than privacy controls; it demands rigor in provenance, governance, and end-to-end lifecycle discipline.
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