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Digital trust has a significant impact on enterprises and end users alike. But to effectively build it, what exactly it is and how it is measured must be understood.
The power, precision and affordability of predictive models are increasing based on the increasing volume and availability of data in general and the computing power of the cloud.
Poor data management in general, and poor data quality in particular, can have negative impacts on data trust and, thus, on digital trust.
The excess of information used for identification is contrasted with the need to respect the fundamental rights and freedoms of people’s privacy and in particular their right to protect their personal data.
There are significant gaps in current approaches to achieving digital trust, and to address these gaps, organizations need to expand security perimeters to fit into a digital trust framework.
With the widespread use of AI, this technology affects most of humanity; therefore, it may be time to take a systemwide view to ensure that this technology can be used to make ethical, unbiased decisions.
Most countries in the world consider electricity transmission and distribution infrastructure and services fundamental parts of their critical infrastructures.
Decentralized cloud systems offer a remedy for lack of data ownership and control, data breaches and security risk, increasing storage costs and low transmission speed.
How can the effectiveness of security awareness programs be measured?
As a long-time member, I am excited to see ISACA commit to digital trust to help organizations and individuals build and benefit from a safer and more secure digital world.
I am concerned that people at large will come to believe that information security can be achieved simply by buying it. Yes, tools are important, but the program that chooses and uses those tools is paramount.
Growing skills through formal programs in hopes of increasing the talent pool of qualified professionals would institutionalize consistent learning for the profession and assist in standard and repeatable digital trust attributes.
In situations where there is new technology in the offing, it is incumbent upon the practitioner to both objectively analyze that risk and also evaluate that technology for its potential in reduction of risk and to help enable trust.
Given that digital trust is an abstract concept, we do need to define it as clearly as possible. We also need some means of determining how trustworthy an organization is in the digital ecosystem.
For chief information security officers looking to convey how serious data breaches could be to their organizations, translating them into economic impact is critical.
Fully homomorphic encryption allows organizations to ensure their customers' privacy without undermining their ability to gain insights from their data.
Governments around the world are enacting data security and data privacy rules and regulations at an increasing pace that is forcing enterprises to react, respond and realign their businesses to meet these challenges.
It can be challenging to integrate blockchain smart contracts with existing (legacy) IT systems.
To ensure that quality services and products are being delivered and to identify any partners who may be behaving unethically, enterprises need trust assurance.
A risk assessment can prioritize which technical vulnerabilities are most critical, allowing an enterprise to allocate the appropriate resources to fix or patch these vulnerabilities in a timely manner.
Culture is crucial for nearly every enterprise; a strong culture can lead to a successful organization and a lack of culture can cause an organization to be unsuccessful.