Point-in-time GRC is obsolete. What’s replacing it? It isn’t AI alone
好的,我现在需要帮用户总结一篇文章,控制在100字以内。首先,我得仔细阅读文章内容,抓住主要信息。 文章主要讲的是TrustCloud和ServiceNow合作,解决企业风险管理中的四个结构性问题。这些问题包括无法高效测试所有内容、时间过长、无法测试所有类型的控制,以及发现结果与业务影响脱节。 接下来,我需要将这些要点浓缩成一句话,不超过100字。要确保涵盖TrustCloud的作用、与ServiceNow的整合,以及解决的问题。 可能的结构是:TrustCloud与ServiceNow合作,解决企业风险管理中的四个结构性问题,提供持续的控制信号和自动化解决方案。 最后,检查字数是否符合要求,并确保语言简洁明了。 </think> TrustCloud与ServiceNow合作构建解决方案,旨在解决企业风险管理中的四个结构性问题:无法高效测试所有内容、时间过长、无法测试所有类型的控制以及发现结果与业务影响脱节。通过提供持续的控制信号和自动化解决方案,TrustCloud帮助企业在现代企业环境中实现更有效的风险管理。 2026-4-16 17:16:18 Author: securityboulevard.com(查看原文) 阅读量:6 收藏

Those aren’t the same product with different speeds. They’re different epistemological claims about what you can actually know about your risk posture. That gap is what TrustCloud is closing and why we built it with ServiceNow.

What TrustCloud and ServiceNow are building together

ServiceNow is the operating system of the modern enterprise. Sixty percent of the Fortune 500 run their risk, security, and IT workflows on the Now Platform. The missing piece has never been the workflow. It’s been the signal quality feeding it.

But signal quality isn’t the only problem. There are four structural gaps that no amount of AI layered onto existing architecture can close.

You cannot test everything, efficiently. IRM is designed for sampling — a statistical slice of the control landscape. Sampling leaves the gaps that become headlines. 

Time-to-value is measured in years, not weeks. Operationalizing enterprise continuous control monitoring within IRM requires years and millions in spend. By the time the program is live, the risk surface has moved.

You can’t test all types of controls. IRM can’t automate technical, documentation, and process controls across cloud and on-premises environments in a unified way. A platform that sees part of the data plane can only partially assure the business it claims to protect. A control failure doesn’t live in one tool. It depends on cloud configuration state, CMDB records, policy documents, prior assessment history, and cross-functional business context. To meaningfully automatically test a control, a system needs to sit within a cross-system execution path.

Findings aren’t linked to business impact. Without native ties to contracts, DPA’s, customer obligations, and business context, every finding lands in a backlog nobody can prioritize fast enough to matter. When an assessment closes, the context that produced it isn’t preserved as durable evidence. You can’t replay the state of the environment at assessment time, which means you can’t audit the result, learn from it, or treat it as continuous signal.

TrustCloud, running natively inside the Now Platform, closes all four. The TrustCloud Store Plugin feeds validated, continuous control signals directly into ServiceNow IRM, SecOps, CMDB, and AI Control Tower — not as a separate layer, but natively, so findings create incidents and tasks inside the workflows teams already own. The architecture runs on one operational loop: Observe via the Hybrid Data Fabric, Reason via the Control Graph, and Act via TrustCloud’s collection of agents — deterministic checks, cited evidence, no hallucinations.


文章来源: https://securityboulevard.com/2026/04/point-in-time-grc-is-obsolete-whats-replacing-it-it-isnt-ai-alone/
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