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agentic-systems

14 articles

TitleDate
Consequence Modeling for Agent Systems: Predicting Action Impact Before ExecutionFeb 28, 2026
Multi-Party Authorization: Requiring Human Approval Without Killing AutonomyFeb 25, 2026
Agent Audit Trails: Logging Context, Not Just ActionsFeb 23, 2026
Credential Scoping for Agents: Why Temporary Keys Aren't EnoughFeb 22, 2026
The Tool Execution Firewall: Pattern-Based Defense for Agent ActionsFeb 21, 2026
Trust Gradients: Dynamic Permission Scaling Based on Agent BehaviorFeb 17, 2026
Capability Tokens: Fine-Grained Authorization for Non-Deterministic AgentsFeb 16, 2026
Context Sandboxing: How to Prevent Tool Response Poisoning in Agentic SystemsFeb 14, 2026
The Agent DMZ: Isolating Decision-Making from Execution in Production AIFeb 13, 2026
Zero Trust Agents: Why 'Verify Every Tool Call' Is the Only Defensible ArchitectureFeb 12, 2026
The Panopticon Agent: How Agentic AI Makes Surveillance Trivial and InvisibleFeb 11, 2026
Prompt Injection Is Just the Beginning: The Undefendable Attack Surface of Agentic AIFeb 10, 2026
The Agentic Security Divide: Why Only Rich Companies Can Deploy AI Agents SafelyFeb 9, 2026
The Autonomous Credential Problem: When Your AI Needs Root AccessFeb 8, 2026

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The 7 GenAI Architectures

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Building Real-World Agentic AI Systems

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Ranjan Kumar

I educate and empower AI builders to design, build, and deploy systems that actually work. I focus on practical engineering, production-ready architectures, and real-world AI execution.

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