![]() Proprietary information often gets fed into these tools, and there’s no way to get that data back. Depending on how AI is trained, it can pick up historical biases, leading to inaccurate information. There are currently no regulations nor standards for AI-based tools, so you may end up with a “garbage in, garbage out” problem you can’t trust the results you get. ![]() Some of these risks have to do with AI tools overall, sanctioned or not. When it comes to shadow IT, the risks come in a few different forms. Understanding the risks of unsanctioned tools They haven’t gotten the organizational buy-in to understand use cases so that IT can identify the appropriate tools that should be used, as well as when it’s appropriate to use them and when it's not. They’re just picking the tools they think will work or that they’ve heard of and putting them to use. However, what often happens is that employees begin using these tools without going through the proper channels. Such improvements are coming for other areas, industries, functions, and organizations across the board. There are many areas, including within security processes, where it makes a great deal of sense to apply AI, such as in assisting SOC operations, reducing engineers’ workload and monotony, and more-it’s really about process efficiency. These technologies bring multiple benefits, including the potential to significantly improve process efficiencies, personal productivity, and even customer engagement relatively quickly. ![]() It’s little wonder that employees want to be using generative AI, machine learning, and large language models. This leads to the challenge CISOs and other leaders face: How do you enable employees to use their preferred AI tools while also mitigating potential risks to the organization and ensuring they don’t create cybersecurity nightmares? The rise of shadow AI And while that experimentation and creativity can be a good thing, the problem is that these tools are being used without IT or security’s knowledge. ![]() Employees are increasingly experimenting with the likes of ChatGPT and Google Bard to do their jobs. Not surprisingly, we are seeing a similar phenomenon with AI tools. Shadow IT can introduce a whole host of security impacts, for one primary reason: You can’t protect what you don’t know about. According to Gartner research, 41% of employees acquired, modified, or created technology outside of IT’s visibility in 2022, and that number was expected to climb to 75% by 2027. When you work with us, you experience a physician-led, clinician-centric culture.CIOs and CISOs have long grappled with the challenge of shadow IT-technology that is being used within an enterprise but that is not officially sanctioned by the IT or security department. Whether you’re a surgicalist, emergency medicine provider, or specialty physician, we offer unique opportunities that are tailored to suit your lifestyle and professional goals. Synergy Health Partners integrates clinicians into hospital service line workflows, offering opportunities for collaboration, mentorship, and professional growth. It is possible to achieve more freedom in your professional life while becoming an engaged member of a clinical care team. EXPERIENCE GREATER FLEXIBILITY, STABILITY, AND JOB SATISFACTION ![]()
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