{"id":4090,"date":"2024-07-08T15:31:54","date_gmt":"2024-07-08T19:31:54","guid":{"rendered":"https:\/\/csicomp.wpengine.com\/?p=4090"},"modified":"2025-06-24T14:43:10","modified_gmt":"2025-06-24T18:43:10","slug":"strategies-for-reducing-risk-in-adopting-ai","status":"publish","type":"post","link":"https:\/\/csicompanies.com\/strategies-for-reducing-risk-in-adopting-ai\/","title":{"rendered":"Strategies for Reducing Risk in Adopting AI"},"content":{"rendered":"\t\t
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Caution! This content was not written by AI; an actual human being wrote it.<\/h3>

Is AI really just another application that we have to manage?\u00a0It has a lifecycle, support needs, subject matter experts to master it, upgrades, patches, etc.\u00a0The one caveat with AI is that it has extraneous security concerns. The promise of AI is that it continually learns, improves, and becomes more refined over time.\u00a0But where does the learning come from? This scenario represents a challenge in implementing AI.\u00a0Out of the box, some major AI applications have built-in access to APIs, file shares, storage platforms, etc. This functionality needs careful scrutiny when operating in a regulated healthcare environment.<\/p>

Unfortunately, hospital IT programs have grown organically over the years.\u00a0New systems have been organically added to old infrastructure.\u00a0Many file structures have been created in the name and benefit of workflow, in the name of getting things done.\u00a0Data sprawl, whether it is on end-user devices, file shares, intranet sites, storage platforms, vendor platforms, and elsewhere, is a real concern.<\/p>

The advent of AI is forcing organizations to take a new look at how they manage their computing environment from a risk and cybersecurity perspective.\u00a0Historically, we have looked at compliance as an episodic event.\u00a0We engage a firm that performs a cybersecurity audit.\u00a0The firm produces a final report, elucidating vulnerabilities that the company addresses.\u00a0And we\u2019re done, right?\u00a0Wrong.\u00a0The minute the cybersecurity\u00a0audit report is finalized, it is out of date.\u00a0The realization is that it takes a lot of applications to run a hospital.\u00a0Things are constantly changing in a hospital network. Network devices are being updated, servers are being patched (or not), applications are being altered, new users are being added\/subtracted, new vendors are being onboarded, new systems are going live, old systems are being retired, and so on.\u00a0It is evident that there is a need for an operational risk and cybersecurity framework that gives visibility and is updated in real time.<\/p>

Here are a couple of improvements healthcare organizations can make to better position themselves to manage AI applications responsibly.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Automating Risk Management<\/h3>

The concept of the cybersecurity audit should be replaced by automated risk management tools.\u00a0The episodic audit is dead.\u00a0There is a fundamental need for real-time risk management that can give you risk profiles and high-priority risk items\/vulnerabilities in real time.\u00a0Real-time risk management remediation workflows that are proactively managed on a daily basis can greatly reduce the likelihood of a breach and increase an organization’s compliance. Granted, this is a different mindset, especially for organizations that are continually in firefighting mode.\u00a0Adopting real-time risk management tools should allow these organizations, in particular, to take more of a proactive management posture toward cybersecurity and risk management.\u00a0Furthermore, automated risk management tools can monitor AI applications for malicious activity by users and by the AI applications.<\/p>

Advanced Data Management Tools<\/h3>

Let\u2019s face it: healthcare organizations, in particular, have grown organically over the years.\u00a0We have evolved from the best-of-breed systems of the past to the more consolidated electronic health record systems of today.\u00a0By necessity, there is a legacy and continuing data sprawl in many healthcare organizations.\u00a0Prior to adopting an AI program, it would be prudent to correct this historically less-than-perfect data management practice.\u00a0How?\u00a0We now have tools that can scan and discover data\/files throughout the network, identify their locations, and report on who has permission\/what permissions to that data.\u00a0Additionally, these tools can create remediation workflows to bring rogue data and files into compliance.\u00a0They can also monitor your entire environment going forward to ensure you remain in a compliant state, which is especially important in organizations adopting AI.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Summary<\/h3>

We are continually making advancements in cybersecurity, data management, and risk management.<\/p>

Organizations that are planning on adopting AI or already have done so can stay compliant and manage risk by staying aware of advances in these areas.\u00a0The promise of AI to increase the quality of care delivery is predicted to be incredibly impactful.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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For more information about CSI Companies’ Security and AI Readiness Programs, visit our website and speak with one of our experts today!<\/a><\/p>

Visit our Newsroom<\/a> to learn more about how CSI Companies has expanded its offerings into Security and AI Solutions.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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About the Author<\/h2>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Paul J. Caracciolo<\/a> is a distinguished graduate from the University of New York at Potsdam, holding a bachelor\u2019s degree in Earth Sciences with a minor in Computer Science. With a dedicated focus on healthcare computing, he has consistently leveraged technology to enhance the standards of patient care throughout his professional journey. Paul\u2019s impressive track record includes executive roles such as Chief Technology Officer (CTO) at Stanford\u2019s hospitals and clinics, Chief Information Security Officer (CISO) at Duke University Health, and CTO\/CISO at CommonSpirit Health, showcasing his expertise and leadership in the healthcare technology sector.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

Caution! This content was not written by AI; an actual human being wrote it. Is AI really just another application that we have to manage?\u00a0It has a lifecycle, support needs, subject matter experts to master it, upgrades, patches, etc.\u00a0The one caveat with AI is that it has extraneous security concerns. The promise of AI is that it continually learns, improves, and becomes more refined over time.\u00a0But where does the learning come from? This scenario represents a challenge in implementing AI.\u00a0Out of the box, some major AI applications have built-in access to APIs, file shares, storage platforms, etc. This functionality needs<\/p>\n","protected":false},"author":21,"featured_media":4092,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[166],"tags":[42],"class_list":["post-4090","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-insights","tag-workforce-solutions"],"yoast_head":"\nStrategies for Reducing Risk in Adopting AI | CSI Companies<\/title>\n<meta name=\"description\" content=\"Is AI really just another application that we have to manage? 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