Risky Business
Risky Business

Oct 30, 2026 · 44 min

Security vendors pitch control for AI agents, APIs and investigations

Snake Oilers: Minimal.dev, Request Rocket and TRM Labs

The episode shows how security products are converging on the same operational problem: containing powerful systems while preserving visibility, flexibility and manageable costs.

3 key takeaways
  1. 1Minimal.dev isolates enterprise AI agents across processes, networks and resources while building governance into their runtime.
  2. 2Request Rocket centralizes API authorization, redaction and audit trails across integrations with inconsistent permission models.
  3. 3TRM Labs’ Ardents consolidates investigative data sources and workflows while putting guardrails around usage-based research costs.

Don't miss

The Ardents discussion turns a product feature into an operational dilemma: investigative freedom must be balanced against unexpectedly consuming large numbers of query credits.

The brief

Patrick Gray’s Snake Oilers special moves through three pitches, each addressing a different source of security complexity: autonomous agents, fragmented APIs and sprawling investigations.

Jake King argues that enterprise AI agents need more than a frontier model provider’s safeguards, presenting Minimal.dev’s isolated runtime for processes, networks and resources.

Alex Ferguson frames Request Rocket as a control layer for inconsistent integrations, combining granular authorization, field-level redaction, centralized visibility and audit trails.

Simon Warren presents TRM Labs’ Ardents as an investigative workspace that unifies more than 50 data partners and over 100 endpoints under usage-based querying.

The sharpest tension arrives in Ardents’ cost controls: investigators need freedom to explore, but broad searches can consume credits and compound operational complexity.

Across all three pitches, the product story is less about adding another tool than governing systems whose power and connections are difficult to see.

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