Input-Side Controls

Input-side controls are governance mechanisms that manage and validate data before it enters an AI system, including data quality checks, access restrictions, and content filtering. These controls are critical for enterprise compliance because they prevent problematic data from corrupting model behavior and help organizations maintain regulatory standards around data handling. By catching issues upstream, input-side controls reduce the risk of biased outputs, data leakage, and model drift that could trigger liability or regulatory penalties.

1 item

EnforcementUS2026-08-14

Court Sanctions Prompt Injection Filing, Exposing an Input-Side Governance Gap

A Connecticut federal judge sanctioned pro se plaintiff Matthew Elliott for embedding hidden prompt injection text in court filings, apparently intended to manipulate any AI system reviewing the documents. The court confirmed no AI was in use by the Connecticut Judicial Branch, so the attack had no effect, but issued a broader warning about adversarial inputs. The case exposes a gap in enterprise and institutional AI governance that has focused almost entirely on output integrity while leaving input-side attack vectors largely ungoverned.

prompt injection adversarial inputs judicial AI governance AI misuse input-side controls document review enforcement action