Mayhem Shield
Insights

Deployment assurance, in practice.

Practical analysis of the evidence, control boundaries, and review questions behind defensible enterprise AI go-live decisions.

State and local AI law

Dated obligations that land on the business deploying the system, not the vendor that built it.

Insight

State AI law and the obligations that land on the buyer

Which US state and local AI rules bind the business deploying the system rather than the vendor that built it, with dates. Covers Texas, California, Illinois, Connecticut, New York City, and Colorado.

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Insight

AI deployment review in California: what the CCPA ADMT rules require before January 2027

California's ADMT rules set a January 2027 compliance date and a documented risk-assessment duty for covered businesses using the technology, not the vendor that built it.

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Insight

AI deployment review in Texas: what TRAIGA changes for buyers

What the Texas Responsible AI Governance Act requires, what it does not, and how a documented deployment review supports its affirmative defenses and 60-day cure period.

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Deployment assurance

How deployment review works in practice, and what it answers that a vendor assessment does not.

Insight

Vendor risk assessment vs deployment review

Why vendor credibility and deployment safety are different questions, and why an enterprise AI approval needs both answered.

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Insight

Securing agentic AI: what can the agent actually do

A deployment-focused way to examine agent access, actions, identity, monitoring, and incident investigation before go-live.

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Case study

Microsoft Copilot readiness review

An anonymized review showing how Microsoft 365 permission hygiene shaped a phased, risk-based Copilot go-live decision.

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