NEW RESEARCH: Your Sandbox Is Made of Glass
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Alternative to Anecdotes
Anecdotes automates your GRC program with agents and an integrated data engine. Trinitite produces the signed, reproducible evidence underneath it — and enforces policy inline in production. The strongest programs run both.
What Anecdotes is
Anecdotes is an enterprise agentic GRC platform. A data engine integrates hundreds of enterprise systems into a unified GRC context, and AI agents monitor policy alignment, detect governance gaps, and orchestrate remediation workflows continuously.
Where they’re strong
Operating a mature, multi-entity GRC program — collecting evidence across hundreds of systems, mapping controls across frameworks, and automating remediation workflows. If you need a GRC operating system, that is their lane.
The difference
Anecdotes automates and tracks your governance program; Trinitite produces cryptographic evidence of it and enforces it inline. Their compliance posture is collected and normalized from connected systems; ours is a per-decision, hash-chained, KMS-signed receipt anchored to RFC 3161 + Sigstore Rekor that an auditor re-verifies in a browser without trusting us. Because our verdict runs on a deterministic kernel, the same evidence reproduces bit-for-bit — not a dashboard render that moves with GPU load. We also cover the runtime layer: the same Auditor that scores your history blocks, corrects, or masks a non-compliant AI output before it ships. Anecdotes orchestrates the program; Trinitite is the evidence-and-enforcement layer that makes an AI program defensible. They coexist where you already own the GRC workflow.
Side by side
Dimension
Agentic GRC
Trinitite
Core job
Automate the GRC program & workflows
Produce signed evidence + enforce inline
Compliance posture
Collected & normalized from systems
Per-decision signed, anchored receipt
Verifiability
Dashboards & reports
Re-verified by a third party in a browser
Reproducibility
Point-in-time / continuous analysis
Byte-stable: same input → same bytes
Runtime enforcement
Detects gaps, orchestrates remediation
Blocks / corrects / masks the AI output itself
AI-behavior evidence
Program-level monitoring
Per-call signed receipt, replayable
Questions to ask any vendor
01
When your program says a control operated on a date, can you hand an auditor an artifact they re-verify independently — or is it a screenshot from a dashboard?
02
Is that evidence reproducible bit-for-bit, or does it depend on a number nobody can re-derive?
03
Does the platform stop a non-compliant AI output before it ships, or only detect the gap after the fact?
04
When an AI agent is prompt-injected, what judges the action itself — a workflow rule, or an independent check that ignores the agent’s reasoning?
05
Is the evidence externally anchored, so not even the vendor can backdate it?
FAQ
Run the free 1,000-log pre-audit and put a signed, reproducible Trinitite report next to whatever you’re evaluating today. Verify it in a browser, no NDA.
Trinitite
AI governance that catches mistakes, proves compliance, and shows the board what it saved—in dollars.
Trinitite is built by Fiscus Flows, Inc.
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