The Persistence Problem: When Patches Don't Fix What's Broken
From backdoors that survive patches to carbon accounting that resists reality, organizations face a new challenge: fixing the surface while problems persist underneath.
Insights on policy operations, attestation, governance education, and AI-agent oversight from the team building Dictiva.
Showing 73-96 of 146 articles
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From backdoors that survive patches to carbon accounting that resists reality, organizations face a new challenge: fixing the surface while problems persist underneath.
Anthropic's Claude Managed Agents, OpenAI's open-source Agents SDK, and DIY harnesses all face the same EU AI Act deadline. The runtime is not the hard part anymore; the evidence is.
From GE's $36M ITAR penalty to AI agent proliferation, organizations face mounting governance debt as legacy frameworks collide with exponential technology change.
We're narrowing our positioning from governance platform / GRC to AI Agentic Governance. Here's what's changing, what's staying, and why, with an honest map of what ships today and what ships later.
As AI agents proliferate and automation accelerates, organizations discover that machines excel at execution but fail at understanding context, creating new governance risks.
From AI agent registries to data product catalogs, organizations are building new control systems to manage proliferating digital assets and prevent operational chaos.
Compare compliance management solutions across three architectures: automation-first, risk-first, and governance-first. Evaluation and selection criteria.
What compliance risk management means, five risk categories every organization faces, and how to build a program that prevents violations before they happen.