Most security review firms are built to cover everything: network penetration testing, phishing simulations, compliance audits, code review, cloud config, and now AI systems, bolted on as one more line item. That breadth is useful when a large enterprise needs one vendor for everything. It's a poor fit for a five-person SaaS team that shipped an AI agent last quarter and needs someone who actually understands where agentic systems fail, not a generalist running the same checklist they'd run against a marketing website.
This practice stays narrow instead: architecture-level review of trust boundaries, tenant isolation, and agent permissions, for teams building exactly the kind of system that combination shows up in: small teams with real customer data, moving fast, usually without a dedicated security architect on staff. The guides published here are the same patterns found in actual reviews, written up because the same handful of mistakes account for most of what goes wrong.