Insights

Thinking from our engineers

Notes on what holds up in production and what does not, written by the people who build and run these systems.

Insights library

FeaturedAI Governance10 min readExecutive Brief

The Buyer Shift: From AI Pilots to Agentic and AI-Enabled SDLC

Enterprise buyers have lived through pilots that never reached production. The shift to governed agents is a structural response to that failure rate, not a fashion cycle.

Read the insight
Agent Orchestration14 min read

AI Agent Orchestration: Types, Architecture, and Production Checklist

Individual agents supply capability. Orchestration supplies control — routing, shared state, recovery and evaluation across a workflow no single agent could finish alone.

Deep Technical Dive
SecOps & AppSec9 min read

AI Agent Architecture & Use Cases in Cybersecurity

Agents tiered by autonomy — triage, supervised containment, advanced analysis — and the seven SecOps and AppSec workflows where they hold up in production.

Deep Technical Dive
Data Integrity8 min read

Data Poisoning in Large Language Models: Threats, Defense Mechanisms, and Tooling

Poisoned training artifacts bake vulnerabilities into model parameters. Unlike a runtime prompt injection, they cannot be patched — only retrained out.

Deep Technical Dive
Agent Security7 min read

AI Agent Security Architecture: Governance Across Data, Models, and Agents

Security teams have stopped asking how to grant AI access and started asking how autonomous agents can execute safely. Three layers answer it: data, model, agent.

Executive Brief
AI-Native Engineering12 min read

Beyond Vibe Coding: The Five Building Blocks of AI-Native Engineering

Five blocks replace prompting: an agent, a model, a methodology, a spec and context. Precision in specification has become the bottleneck, not syntax.

Deep Technical Dive
Agentic Engineering8 min read

Agentic Engineering: From AI Tools to an Engineering Discipline

The question has moved from whether AI can write code to how autonomous agents are planned, bounded, evaluated and recovered in production.

Executive Brief
Cloud Migration7 min read

Best Practices for Monitoring a Cloud Migration

Migrating without end-to-end visibility turns operational risk into downtime. Side-by-side hybrid tracking and SLO-driven validation prevent it.

Practical Guide
Observability6 min read

Monitoring Your Dynamic Cloud Infrastructure

Autoscaling creates instances that come and go faster than host-centric monitoring can register. Service-level observability is the answer.

Practical Guide