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To fortify the digital ecosystem, there is a call for enterprises to reexamine—and in some cases renew—their governance practices.
As organizations struggle to harness the power of digital twins, they face governance challenges that can undermine the technology's potential.
To integrate cyberrisk models into organizational decision making, stakeholders must trust in their accuracy, reliability, and transparency.
Understanding the various forces at play in IT governance is vital for organizations aiming to leverage technology effectively and achieve sustained success.
Governance frameworks must evolve to reflect the merging of human cognition and digital systems.
Organizations should look to RPA risk management principles to mitigate model development and data management risk associated with AI and ML.
Green IT should be subject to the same rigors of IT governance as regular IT to help ensure that it produces the anticipated value.
The reaction to shadow DLP is often to reduce the number of DLP tools in use. But the outcome may be a more fragmented DLP environment with higher operational costs.
A company improved its security posture with a zero trust-based DevSecOps solution that used automation to reduce risk and increase compliance without slowing development.
Digital identity recognition demands a holistic approach that takes into account the real world as well as the digital one.
IT can be a sturdy midfielder and do some scoring, but businesspeople are the strikers, with security playing defense and tending the goal.
If an organization wants to have a strong trust position within the digital ecosystem, it must invest in the culture to support such a position.
