There may be resistance from CMOs

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3. Preparing for hacking
Advances in artificial intelligence and machine learning have given attackers new tools to trick alert employees into giving up valuable information. ChatGPT allows anyone to write legitimate-looking messages, and new deepfake technology has created the threat of highly convincing phishing attacks using audio and video footage.

Increasingly, organizations need to plan for when — not if — they will suffer a breach. CIOs and CISOs should work together to promote data security best practices at all levels of the business. Agree that data worth keeping has a business purpose. And use techniques like anonymization, encryption, or tokenization to protect existing data and make it useless if stolen.

From a leadership perspective, help business leaders understand the risks associated with data, especially business-critical and sensitive personal information, and the importance of protecting all valuable data.

and others who want to collect as much data as possible to realize its analytical potential, which often conflicts with the organization’s compliance and security obligations. This is where CIOs play a critical role. You can be the liaison between the responsibility-focused CISO and the opportunity-focused CMO.

For employees, this means conducting or implementing finland mobile database company-wide training. This training, as well as company-wide conversations and awareness programs, should happen before attackers attempt to breach data, not after.

4. Actions in the context of reduced resources and budgets
Companies facing budget cuts and layoffs have fewer resources and fewer people to do the same amount of work. While this may require making tough decisions about what to cut, don’t rush into making any decisions. It’s worth determining whether current operations are as efficient as possible or whether there are ways to improve the way the company handles day-to-day processes.

Determining efficiency depends on what data routine operations generate. For example, some functions may generate timestamps that can be used to determine the efficiency of those processes. Monitor changes in each process by reviewing timestamp data to identify potential improvements.

Further efficiency gains are possible through automation. To automate processes, companies need to understand the flow of data in existing operational procedures. Building automation on this foundation allows for maximum efficiency gains with minimal risk. Once your organization has optimized efficiency where possible, decide what cuts still need to be made.