{"id":56691,"date":"2024-07-29T00:00:00","date_gmt":"2024-07-29T00:00:00","guid":{"rendered":"urn:uuid:364bd26c-7413-914b-4962-bb9f6c347ad8"},"modified":"2024-07-29T00:00:00","modified_gmt":"2024-07-29T00:00:00","slug":"how-to-write-a-generative-ai-cybersecurity-policy","status":"publish","type":"post","link":"https:\/\/www.threatshub.org\/blog\/how-to-write-a-generative-ai-cybersecurity-policy\/","title":{"rendered":"How to Write a Generative AI Cybersecurity Policy"},"content":{"rendered":"

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Amidst all the hype, CISOs urgently need practical guidance on how to establish AI security practices to defend their organizations as they play catchup with deployments and plans. With the right combination of cybersecurity policy and advanced tools, enterprises can meet their goals for today and lay a foundation for dealing with the evolving complexities of AI going forward.<\/p>\n

When the best and brightest people working on a new technology say mitigating its risks should be a global priority, it\u2019s probably wise to pay attention. That famously happened on May 30, 2023, when the Center for AI Safety published an open letter<\/a> signed by more than 350 scientists and business leaders warning of the most extreme potential dangers posed by AI.<\/p>\n

As much of the ensuing media coverage pointed out, fearing the hypothetical absolute worst may actually be a dangerous distraction from confronting AI risks we already face today, such as internal bias and made-up facts. The last of these made headlines recently when one lawyer\u2019s AI-generated legal brief was found to contain completely fabricated cases<\/a>.<\/p>\n

Our other AI blogs have looked at some of the immediate AI security risks corporate CISOs should be thinking about: the ability of AI to impersonate humans and perpetrate sophisticated phishing schemes; lack of clarity about the ownership of data entered into and generated out of public AI platforms; and outright unreliability\u2014which includes not just bad information created by AI but also AI \u2018poisoned\u2019 by bad information it absorbs from the Internet and other sources.<\/p>\n

I\u2019ve argued in chats with ChatGPT about facts concerning network security after getting incorrect information, and forcing it to disclose the correct answer it seemed to know all along. Whereas ChatGPT lists as a feature for their Enterprise version that no training will be done on your data, of course not all employees and contractors will use only an Enterprise version. And even if a private language AI instance is to be used, the impact of a breach of any AI whether public or private bears consideration.<\/p>\n

If those are the risks, the next obvious question is, \u201cWhat can CISOs do to boost their organizations\u2019 AI security?\u201d<\/p>\n

Good policy is the foundation of AI security<\/span><\/p>\n

Corporate IT security leaders learned the hard way over the past decade that prohibiting the use of certain software and devices typically backfires and can even increase risk to the enterprise. If an app or solution is convenient enough\u2014or if what\u2019s sanctioned by the company doesn\u2019t do everything users need or want\u2014people find a way to stick with the tools they prefer, leading to the problem of shadow IT.<\/p>\n

Considering that ChatGPT snapped up more than 100 million users<\/a> within just two months of launching, other generative AI platforms are already well embedded into people\u2019s workflows as well. Banning them from the business could create a \u2018shadow AI\u2019 problem more perilous than any sneak-around solution that has come before. Also, many corporations are driving AI adoption as a way to boost productivity and would now find it difficult to block its use. If the policy decision is to ban unapproved AI, there must be detection and possibly blocking.<\/p>\n

What CISOs need to do, then, is give people access to AI tools supported by sensible policies on how to use them. Examples of such policies are starting to circulate online for large language models like ChatGPT, along with advice on how to evaluate AI security risks. But there are no standard approaches as of yet. Even the IEEE doesn\u2019t have its arms fully around the issue, and while the quality of information online is steadily improving, it is not consistently reliable. Any organization looking for AI security policy models should be highly selective.<\/p>\n

Four key AI security policy considerations<\/span><\/p>\n

Given the nature of the risks outlined above, protecting the privacy and integrity of corporate data are obvious goals for AI security. As a result, any corporate policy should, at a minimum:<\/p>\n

1. Prohibit sharing sensitive or private information with public AI platforms or third-party solutions outside the control of the enterprise.<\/b> \u201cUntil there is further clarity, enterprises should instruct all employees who use ChatGPT and other public generative AI tools to treat the information they share as if they were posting it on a public site or social platform,\u201d is how Gartner<\/a> recently put it.<\/p>\n

2. Don\u2019t \u201ccross the streams\u201d.<\/b> Maintain clear rules of separation for different kinds of data, so that personally identifiable information and anything subject to legal or regulatory protection is never combined with data that can be shared with the public. This may require establishing a classification scheme for corporate data if one doesn\u2019t already exist.<\/p>\n

3. Validate or fact-check any information generated by an AI platform to confirm it is true and accurate. <\/b>The risk to an enterprise of going public with AI outputs that are patently false is enormous, both reputationally and financially. Platforms that can generate citations and footnotes should be required to do so, and those references should be checked. Otherwise, any claims made in a piece of AI-generated text should be vetted before the content is used. \u201cAlthough [ChatGPT] gives the illusion of performing complex tasks, it has no knowledge of the underlying concepts,\u201d cautions Gartner. \u201cIt simply makes predictions.\u201d<\/p>\n

4. Adopt\u2014and adapt<\/i>\u2014a zero trust posture. <\/b>Zero trust is a robust way of managing the risks associated with user, device, and application access to enterprise IT resources and data. The concept has gained traction as organizations have scrambled to deal with the dissolution of traditional enterprise network boundaries. While the ability of AI to mimic trusted entities will likely challenge zero-trust architectures, if anything, that makes controlling untrusted connections even more important. The emerging threats presented by AI make the vigilance of zero trust critical.<\/p>\n

Choosing the right tools<\/span><\/p>\n

AI security policies can be backed up and enforced with technology. New AI tools are being developed to help spot AI-generated scams and schemes, plagiarized text, and other misuses. These will eventually be deployed to monitor network activity, acting almost as radar guns or red light cameras to spot malicious AI activity.<\/p>\n

Already today, extended detection and response (XDR) solutions can be used to watch for abnormal behaviors in the enterprise IT environment. XDR uses AI and machine learning to process massive volumes of telemetry (i.e., remotely gathered) data to police network norms at volume. While not a creative, generative type of AI like ChatGPT, XDR is a trained tool that can perform specific security tasks with high precision and reliability.<\/p>\n

Other types of monitoring tools such as security information and event management (SIEM), application firewalls, and data loss prevention solutions can also be used to manage users\u2019 web browsing and software use, and to monitor information leaving the company IT environment\u2014minimizing risks and potential data loss.<\/p>\n

Know your limits<\/span><\/p>\n

Beyond defining smart corporate policies for AI security and making full use of current and novel tools as they emerge, organizations should get specific about the degree of risk they\u2019re willing to tolerate to take advantage of AI capabilities. An article published by the Society for Human Resource Management<\/a> recommends that organizations formally determine their risk tolerance to help make decisions about how extensively AI can be used\u2014and for what.<\/p>\n

The AI story has barely begun to be written, and no one has a sure grasp on what the future holds. What\u2019s clear is that AI is here to stay and, despite its risks, has much to offer if we build and use it wisely. Going forward, we\u2019ll increasingly see AI itself deployed to fight malicious uses of AI, but for now the best defense is to start with a thoughtful and clear-eyed approach.<\/p>\n

Further insights
<\/span><\/p>\n

For more Trend Micro thought leadership on AI security, check out these resources:<\/p>\n

Read More HERE<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

It\u2019s clear that generative AI is a permanent addition to the enterprise IT toolbox. For CISOs, the pressure is on to roll out AI security policies and technologies that can mitigate very real and present risks. Read More HERE…<\/p>\n","protected":false},"author":2,"featured_media":56692,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"colormag_page_layout":"default_layout","footnotes":""},"categories":[61],"tags":[9510,10938,9520,9523,9532,9535],"class_list":["post-56691","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-trendmicro","tag-trend-micro-research-articles-news-reports","tag-trend-micro-research-artificial-intelligence-ai","tag-trend-micro-research-cloud","tag-trend-micro-research-network","tag-trend-micro-research-security-strategies","tag-trend-micro-research-web"],"yoast_head":"\nHow to Write a Generative AI Cybersecurity Policy 2026 | ThreatsHub Cybersecurity News<\/title>\n<meta name=\"description\" content=\"ThreatsHub Cybersecurity News | ThreatsHub.org | Cloud Security & Cyber Threats Analysis Hub. 100% Free OSINT Threat Intelligent and Cybersecurity News.\" \/>\n<meta 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