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Publisher’s note: This article is based on the information of a virtual diving event of CIO and cybersecurity of August 12. You can Watch the sessions on request.
CIOs between sectors and geographies systematically assess their inherited technological batteries. Sometimes there is a strategic objective behind the maintenance of obsolete systems online, but these platforms can also increase compatibility problems, safety gaps and other vulnerabilities.
The recent rise in AI has placed the urgency on modernization while CIOs are looking for means to use emerging technologies. The AI also entered the fold to speed up the transformation.
Some of the most common use cases that have emerged include data migration and code refactor assisted by AI, according to Christina Powers, cybersecurity partner in West Monroe.
“If you have an inherited code, inherited applications, someone wrote these applications many years ago and may no longer be with the organization”, ” Powers Said at a CIO Dive Live event last month. “You can use AI to modernize the code base and rewrite applications in something more manageable and more modern so that it can be maintained and secure.”
The majority of IT and business leaders are Looking at AI -centered opportunities,, With 4 out of 5 expect AI coding assistants to improve the management of obsolete systems, code rewritings and automated tests, according to a May Publicis will be postponed.
AI can help “both in terms of conversion into modern platforms as well as to obtain better visibility in what is happening on some of these inherited systems”, ” Powers said.
With the right base, Powers said that AI can help companies quickly identify malicious or abnormal activity, which could help alleviate disturbances related to inherited technologies.
IT infrastructure provider Kyndryl Has a first-hand experience with the modernization of IA-Boosted. The company migrated the workloads and modernized applications following Turn from ibm in 2021.
“Our whole modernization program used AI,” said Kris Lovejoy, leader in world safety and resilience at Kyndryl. “We have found enormous advantages from the point of view of performance.”
The possibilities of modernization linked to AI are in their noise while providers develop standard solutions. In Can,, Capgemini and rocket software Automation tools deployed To help manage and modernize inherited infrastructure. Microsoft has also strengthened Github Copilot refactoring capacities with AI agents.
AI adoption challenges
Despite the potential, the addition of AI to the processes is not a business panacea.
Kyndryl is particularly aware of the gaps in AI around the bias and the explanation.
“It’s a really interesting enigma at the moment”, ” Lovejoy said. “We are first in all things, but we are also very cautious to make sure that use cases are close enough for one of the algorithms that we use can be reconstructed fairly quickly, and that we have a good fundamental understanding of data data.”
Most organizations go with obstacles On the path of the adoption of secure and successful AI, in particular with a generative and agentic AI.
Business leaders are counting on Immature data strategieswhich can exacerbate the risks of access and security. AI governance is also lagging behind by adoption, leading to safety problems. Nearly 4 out of 5 companies say they I don’t have the foundation necessary to protect models, data pipelines and cloud infrastructure, according to an accenture survey published in June.
Going forward on AI’s plans without supporting the processes and technology underlying initiatives can degrade results.
“AI and the right use case can be an excellent facilitator to move away from inherited environments,” said Fritz Jean-Louis, main cybersecurity advisor to the info-tech research group. “But approach carefully.”
