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Five concurrent full-graph scans on a CI load test OOM-killed the production Dgraph and triggered a data-loss incident. Why concurrency ceilings are part of load-test design, how to set a process/repo/CEILING story that keeps the blast radius inside the container, and what CI load tests against prod should actually assert.
Query-only poisoning beats agent-memory audits with 90.7% success, and stale memory doubles agent failures. The threat model, and the defences that hold.
A fresh 760-call study of Perplexity's software recommendations shows the grounding layer is a manufactured long tail — and the two model variants agree far too often for comfort.
As AI systems evolve from simple predictive models to autonomous multi-step agents, they inherit all the technical debt of earlier AI systems — plus a new class of debt unique to agentic architecture. This article maps the root causes, symptoms, and remediation strategies.
Security auditing of AI agents requires traceability that traditional systems lack. This article explores a unified graph representation for LLM agents that captures every step of agent execution, enabling comprehensive security audits, compliance verification, and incident investigation.
Memory is the missing ingredient in multi-agent AI systems. This article explores HMARS, a Hierarchical Multi-Agent Memory System for long-context reasoning, and examines how structured memory hierarchies unlock capabilities that flat memory systems simply cannot achieve.