Defending Against Prompt Injection & Memory Poisoning in Multi-Agent Systems: A Banking Case Study
Prompt injection and memory poisoning are not theoretical threats in production multi-agent banking systems — they're live attack vectors. A technical defence architecture with a banking case study.
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View all 30 →Evaluation & Observability for Production Agentic Systems: Metrics, Tracing, and Drift Detection Beyond the Demo
Production Agentic AI systems fail in ways that unit tests and demo environments cannot catch. A comprehensive framework for evaluation, tracing, and drift detection that keeps autonomous agents reliable at scale.
Model Risk Management Meets Agentic AI: Extending Three-Lines-of-Defence to Autonomous Agents
Traditional MRM frameworks were designed for static, batch models — not autonomous agents that evolve, chain actions, and interact with production systems. A framework for extending three-lines-of-defence to Agentic AI.
Agent-to-Agent Interoperability and the Emerging Agentic Commerce and Payments Stack
When AI agents transact with each other autonomously, payments infrastructure needs to evolve. A look at the emerging A2A commerce stack, identity requirements, and what this means for financial services architecture.
Token Economics and Cost Engineering for Enterprise GenAI at Scale
At enterprise scale, token costs compound fast. A technical deep dive into caching strategies, model routing, context compression, and the architecture decisions that can cut your GenAI infrastructure bill by 60–80%.
From Pilot to Production: An 18–36 Month Agentic AI Transformation Roadmap for Banks
Most Agentic AI pilots in banking never reach production — not because the technology fails, but because the transformation programme lacks the right structure. A detailed 18–36 month roadmap for banks that are serious about scaling.
Building a Zero-Trust Agent Identity and Permissions Model for Financial Services
Every agent in a production multi-agent system needs a cryptographically-verifiable identity, scoped permissions, and a full audit trail. A technical blueprint for zero-trust agent identity in financial services.
Evaluating Agentic AI Frameworks for Regulated, High-Stakes Environments: LangGraph vs Microsoft Agent Framework vs Google ADK
A rigorous, criteria-driven framework evaluation for practitioners building Agentic AI in regulated environments — covering state management, auditability, security controls, and vendor lock-in risk.
Agentic AI and the EU AI Act: A Compliance Architecture for High-Risk Credit and Insurance Decisioning
The EU AI Act places Agentic AI systems used for credit and insurance decisioning in the highest-risk category. A complete compliance architecture — covering conformity assessment, data governance, audit trails, and human oversight.
Designing a Multi-Agent Architecture for Core Banking Modernization: Patterns, Pitfalls, and a Reference Blueprint
A practitioner's reference architecture for using Agentic AI to progressively modernize core banking — without the risk of a big-bang core replacement. Covers the integration layer, domain agent design, and the failure patterns that derail these programs.