How We Work: Automation Engagements
What an automation engagement with Atypical Tech actually looks like — from discovery through validation. No paved cow paths, no automation theater, no surprises.
Thoughts on safe autonomy, engineering automation, and reducing cognitive overhead without putting your systems at risk.
What an automation engagement with Atypical Tech actually looks like — from discovery through validation. No paved cow paths, no automation theater, no surprises.
OWASP released its first Top 10 for Agentic Applications. Here's what each risk means, why traditional AppSec frameworks fall short, and how to start securing your AI agents today.
What a security engagement with Atypical Tech actually looks like — from the first call to the final deliverable. No mystery, no overhead, 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.
Right-sized security for seed-to-Series-B. What actually matters, what can wait, and the mental model that scales.
Autonomy concentrates responsibility. Here’s why every agent needs a named human owner and runtime governance controls.
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.
Why “show your work” is a control surface, not a UX detail — and how evidence packets, confidence bands, and verification gates prevent the false confidence tax.
A case-study-driven series on what changes when agents operate in messy reality: reveal, structure, interfaces, and human accountability.