Your Token Budget Is a Security Control
Most teams treat token spend limits as cost management. They are blast radius containment. An autonomous agent with no spending ceiling is not a productivity tool — it is an uncontrolled liability.
10 posts tagged with “automation”
Most teams treat token spend limits as cost management. They are blast radius containment. An autonomous agent with no spending ceiling is not a productivity tool — it is an uncontrolled liability.
Traditional SAST, DAST, and SCA tools were built for request-response architectures. Agent-first systems have vulnerability classes these tools were never designed to detect — and independent research just confirmed it.
What an automation engagement with Atypical Tech actually looks like — from discovery through validation. No paved cow paths, no automation theater, no surprises.
Every tool an agent can call is an attack surface. In agent-first architectures, the integration layer is the primary security boundary — and most teams aren't treating it that way.
The trap a16z identified for FDE-model startups is identical to the trap facing AI agent deployments.
How the Safe Autonomy framework applies to vulnerability triage, alert correlation, compliance evidence, and security testing. AI agents can multiply your security team—if you build the right guardrails.
The integration surface isn’t an implementation detail — it’s the boundary that determines what autonomy can safely do.
Same model, different outcomes: why supervision, specialization, triage, and long-horizon context management matter more than prompt cleverness.
A lightweight, enterprise-grade framework for designing safe, predictable, auditable agentic systems. Learn how Role, Objectives, Boundaries, Observability, and Taskflow turn ad-hoc automation into reliable operational workflows.
An introduction to our philosophy on building automation that reduces cognitive load without introducing risk.