{"id":50303,"date":"2024-02-28T10:29:45","date_gmt":"2024-02-28T15:29:45","guid":{"rendered":"https:\/\/www.kaspersky.com\/blog\/?post_type=emagazine&#038;p=50303"},"modified":"2024-02-19T05:04:47","modified_gmt":"2024-02-19T10:04:47","slug":"interconnected-technologies-securing-ai","status":"publish","type":"emagazine","link":"https:\/\/www.kaspersky.com\/blog\/secure-futures-magazine\/interconnected-technologies-securing-ai\/50303\/","title":{"rendered":"The next big business challenge: How organizations are preparing to secure AI"},"content":{"rendered":"<p>Of all investments today, artificial intelligence (AI) is transforming enterprises, enabling them to provide improved services, automate processes and make better decisions. Business leaders must invest in the right tech at the right time, and have the people and systems in place that can guarantee success.<\/p>\n<p>AI will change most industries but also brings new risks and challenges in securing enterprises and safeguarding customers.<\/p>\n<p>Kaspersky\u2019s new research aims to help businesses stay ahead of the changes AI brings, published in this 2024 report, <a href=\"https:\/\/go.kaspersky.com\/connected-technologies-enterprise-report.html\" target=\"_blank\" rel=\"noopener nofollow\">Connecting the future of business: How leaders should prepare for using and securing AI and interconnected technologies<\/a>.<\/p>\n<h2>About the interconnected tech research<\/h2>\n<p>Kaspersky surveyed 560 IT security leaders in six regions \u2013 North America (US,) Latin America (LATAM: Brazil, Chile, Columbia and Mexico,) Europe (Austria, France, Germany and Switzerland,) Middle East and Africa (META: Saudi Arabia, South Africa, Turkey and United Arab Emirates,) Russia and Asia-Pacific (APAC: China, India and Indonesia.)<\/p>\n\t\t\t\t\t<div class=\"c-promo-post\">\n\t\t\t\t\t\t<div class=\"o-row\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"o-col-12@sm\">\n\t\t\t\t\t\t\t<article class=\"c-card c-card--link c-card--hor@xs c-card--small@xs\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"c-card__figure c-card__figure--small@xs c-card__figure--medium@sm\">\n\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/www.kaspersky.com\/blog\/secure-futures-magazine\/insight-story-ai-ethics\/50030\/\" class=\"c-card__figure-link\">\n\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"500\" height=\"500\" src=\"https:\/\/media.kasperskydaily.com\/wp-content\/uploads\/sites\/92\/2023\/12\/11045107\/360_insight_story_ethical_ai-500x500.jpg\" class=\"attachment-card-default size-card-default wp-post-image\" alt=\"insight story, ethical and ai, robot communicates with people\" data-src=\"https:\/\/media.kasperskydaily.com\/wp-content\/uploads\/sites\/92\/2023\/12\/11045107\/360_insight_story_ethical_ai-500x500.jpg\" data-srcset=\"\" srcset=\"\">\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"c-card__body  \">\n\t\t\t\t\t\t\t\t\t<header class=\"c-card__header\">\n\t\t\t\t\t\t\t\t\t\t<p class=\"c-card__headline\">Related article<\/p>\n\t\t\t\t\t\t\t\t\t\t<h3 class=\"c-card__title \">\n\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/www.kaspersky.com\/blog\/secure-futures-magazine\/insight-story-ai-ethics\/50030\/\" class=\"c-card__link\" target=\"_blank\" rel=\"noopener nofollow\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span>As AI\u2019s influence rapidly expands, here\u2019s how business ethics must keep up<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<svg class=\"o-icon o-svg-icon o-svg-right\"><use xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"https:\/\/www.kaspersky.com\/blog\/wp-content\/plugins\/kaspersky-emagazine\/assets\/sprite\/icons.svg#icon-arrow-long\"><\/use><\/svg>\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t<\/h3>\n\t\t\t\t\t\t\t\t\t<\/header>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"c-card__desc \">\n\t\t\t\t\t\t\t\t\t\t\t<p>When AI can make or break your business, how do you harness its power while staying within ethical boundaries?<\/p>\n\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<footer class=\"c-card__footer\">\n\t\t\t\t\t\t\t\t\t\t<div class=\"c-card__list\">\n\t\t\t\t\t\t\t\t\t\t\t<ul class=\"c-list-labels js-has-reading-time\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"c-list-labels__link\" href=\"https:\/\/www.kaspersky.com\/blog\/secure-futures-magazine\/category\/artificial-intelligence\/\" target=\"_blank\" rel=\"noopener nofollow\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span>Artificial intelligence<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<li><span class=\"js-reading-time\"><\/span> min read<\/li>\n\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"u-hidden js-reading-content\">\n\t\t\t\t\t\t\t\t\t\t\t\t\tWe live in a world where algorithms can make decisions and data fuels innovation. It means ethical considerations are more critical than ever for business. They must balance using new technology to increase competitive advantage while preserving integrity and protecting customers.\r\n\r\nIn our podcast Insight Story, experts Tomoko Yokoi (Switzerland,) senior business executive and researcher at Global Centre for Digital Business Transformation, IMD Business School and Andy Crouch (UK,) consultant and co-founder of ethical-AI natural language processing company, Akumen, outline how AI biases can impact business and what steps they can take to ensure its fairness. Kaspersky Global Research and Analysis Team's Dr. Amin Hasbini expands on the privacy and responsible data use implications.\r\n\r\n\r\nNot all AI is created ethically equal\r\n\r\n\r\nAndy's company Akumen found a problem that needed solving. \"Scores out of five are useful, but we wanted insight from written responses like product reviews, and there was no way to do it. The team created an AI solution to identify meaning like topics, emotions and sentiment. Sentiment measures opinion \u2013 positive, negative or neutral \u2013 but emotions drive behavior. It works on text feedback anywhere, which might be about consumer goods, healthcare or anything else.\"\r\n\r\n\r\n\r\nTheir approach uses AI differently from generative AI tools like ChatGPT. \"Our AI is rule-based, human-created and human-curated. It's completely transparent and there are no algorithms as with large language models. We can dive in and make rules more nuanced if we recognize bias. With large language models, that would be complex and expensive.\"\r\n\r\nAndy expands on generative AI's limits for truly understanding people. \"We asked ChatGPT how many emotions humans experience \u2013 it said 138,000. That doesn't help us understand what drives behavior. Our platform has 22 emotions \u2013 enough to see what drives behavior. Through our partner, Civicom, we're helping the UK's national health service (NHS) to understand what patients and staff experience.\"\r\n\r\nAnd that understanding can improve lives:\r\n\r\n\r\n\r\nLarger language models use big data pools, but there are also more contained, enterprise-level tools like ChatGPT Enterprise that businesses can furnish with their own data and control how they use it.\r\n\r\nTomoko sees enterprise-level tools as useful but notes they can't do what big data can do. \"Organizations are developing new functions around AI, like data annotators, who clean data before it goes into models. But is it foolproof? The beauty of using data from everywhere is it gives you insights you otherwise wouldn't get.\"\r\nChoosing ethical suppliers\r\nLuckily for companies using AI ethically, more businesses are adopting digital responsibility policies and choosing ethics-first suppliers.\r\n\r\nTomoko gives an example. \"Deutsche Telekom has been a pioneer in AI ethics. They've trained all employees to ensure AI ethics are distributed throughout the organization. At the same time, they have about 300 suppliers and ensure it's in all their contracts. So it goes beyond the boundaries of the company.\"\r\n\r\nBut many businesses don't know where to start. Tomoko says, \"Over 250 companies have committed to AI ethics, but codified mechanisms only help if they change behavior. How can we live these principles and ideals? External experts can help, and there's a case for individuals taking responsibility, which will have a collective impact.\"\r\n\r\nShe suggests how companies frame AI ethics matters. \"You can see AI ethics as value or as compliance. If it's compliance, it will be cost- or risk-driven. But AI ethics could also be a competitive advantage.\"\r\n\r\nAndy compares AI ethics to health and safety. \"If you have a health and safety director, it's only one person's responsibility. Change won't happen unless everyone understands health and safety's importance, and especially that it drives productivity and revenue.\"\r\n\r\nThe competitive advantage is real. McKinsey research found 72 percent of customers considered a business's AI policy before making an AI-related purchase.\r\n\r\nTomoko highlights the importance of backing up policies with action.\r\n\r\n\r\nWhich AI issues should companies care about?\r\nTomoko outlines three places to look. \"First, consider the software development lifecycle. If you're considering developing an AI product, think of how it's designed. Look for bias in the data.\r\n\r\n\"Second, once it's being developed, although many companies say they're implementing AI ethics, people developing AI-driven products don't know how to apply those principles. So, look at how people use ethical principles in day-to-day software development.\r\n\r\n\"Third, we test products in controlled environments. Once it launches, ask who is monitoring it and how we ensure it doesn't gather bias and that people use it correctly.\"\r\n\r\nTomoko is part of IMD Business School and knows that what future executives learn about AI ethics will shape future companies' ethical behaviors with AI. She says, \"First, we say everyone has a responsibility to these issues that goes beyond the company. You need to be aware of this responsibility, but also be able to make others in your team aware.\"\r\n\r\nSecondly, \"What type of organizations do we want to build? We coach people to be able to handle multiple goals \u2013 not only profit but also social, environmental and ethical goals. We want them to walk away thinking of the future.\"\r\n\r\nAndy drills down into the data AI is using. \"Understand how the AI model is built. Is the data you're analyzing through that AI model ethically sourced, and are you using it ethically? The lack of transparency over large language models is rife for ethical risk and bias.\"\r\n\r\nAI training data bias can have life-threatening impacts. Poor AI translations have been found to be jeopardizing asylum claims. Andy sees retrieval-augmented generation (RAG,) which uses more proofed datasets, as part of the solution.\r\n\r\n\r\nCan we have secure and well-regulated AI?\r\nDr. Amin Hasbini. Head of Research Centre, Middle East, Turkey and Africa for Kaspersky Global Research and Analysis Team, thinks AI ethical standards are needed. \"AI won't self-define its ethics. They must be programmed with ethical standards.\"\r\n\r\nSince there is almost no way the public can evaluate, critique or improve AI ethics, regulation must play a part, according to Amin. \"We need security and safety by design, and continuous verification of it. That would require transparency, especially from big tech vendors, and letting the public influence how these technologies develop.\"\r\n\r\nHe likens the challenge to that of regulating social media. \"We're asking people to adopt technologies that can do much damage without giving them ways to ensure that doesn't happen. The same has happened before with social media, with it being used for data leaks and fake news. European Union regulation is moving fast around AI, but AI could be much more dangerous than social media \u2013 we need rules now.\"\r\n\r\nFor improved ethical data use, Amin recommends asset management controls. \"If well deployed, asset management controls allow data to be classified, including which is available to AI, which can be shared publicly and which needs to stay inside the organization.\"\r\n\r\nAndy says regulation is hard in this fast-moving space because no one knows what's coming next. \"I question anyone saying they know what will happen in the next six months or beyond. But there's a lot of fear and lobbying going on \u2013 so go slow. If your AI-driven capability can't deliver because it's non-compliant, ethically or otherwise, it will be damaging.\"\r\n\r\nHowever, he believes regulation is necessary. \"It will be interesting to see how they regulate something that's not easily defined and morphs quickly, but we must protect those who need protecting.\"\r\n\r\nKaspersky has recently proposed six principles for ethical use of AI in the cybersecurity industry with transparency at the core.\r\nGetting started with AI ethics\r\nOur experts have straightforward advice for those business executives yet to approach AI ethics.\r\n\r\n\r\n\r\nTomoko says, \"As a mindset, remember the analog and digital worlds are the same. Your analog-world values should extend into the digital world.\"\r\n\r\nAndy highlights the need for both widespread knowledge and deep expertise. \"Get your whole team conversant with AI, but have a well-informed friend who lives and breathes this stuff to call when there are challenges.\"\r\n\r\nWith headlines about AI taking our jobs and AI founders like Geoffrey Hinton sounding the alarm on unregulated AI perils, it's easy to write off AI ethics as a problem too hard to fix. But these complex issues need priority.\r\n\r\nThere are green shoots of change. In December 2023, the AI Alliance launched to focus on developing AI responsibly, including safety and security tools. Its 50 members include Meta, IBM, CERN and Cornell. The message may be, 'Let's not move too fast and not break things.' With OpenAI, creators of ChatGPT, not invited to the party, could the tortoise of collective corporations beat the nimble hare of innovation?\r\n\r\nAI gives business potential for great gains but comes with great risks to reputation, security and privacy. With strong ethical AI policies translated into action and widespread knowledge among employees, businesses can have more confidence to take advantage of AI's many benefits.\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t<\/footer>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/article>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\n<p>Respondents were either aware of or involved in cybersecurity decisions about interconnected tech such as <a href=\"https:\/\/www.kaspersky.com\/blog\/secure-futures-magazine\/category\/artificial-intelligence\/\" target=\"_blank\" rel=\"noopener nofollow\">AI<\/a>, <a href=\"https:\/\/www.kaspersky.com\/blog\/secure-futures-magazine\/insight-story-metaverse\/47658\/\" target=\"_blank\" rel=\"noopener nofollow\">web 3.0<\/a>, <a href=\"https:\/\/www.kaspersky.com\/blog\/secure-futures-magazine\/insight-story-digital-sovereignty\/49976\/\" target=\"_blank\" rel=\"noopener nofollow\">data spaces<\/a>, <a href=\"https:\/\/www.kaspersky.com\/blog\/secure-futures-magazine\/smart-manufacturing-digital-twins\/40873\/\" target=\"_blank\" rel=\"noopener nofollow\">digital twins<\/a>, <a href=\"https:\/\/www.kaspersky.com\/blog\/secure-futures-magazine\/audio-series\/how-could-extended-reality-transform-your-business\/48246\/\" target=\"_blank\" rel=\"noopener nofollow\">augmented reality (AR,) virtual reality (VR,)<\/a> 6G and <a href=\"https:\/\/www.kaspersky.com\/blog\/secure-futures-magazine\/insight-story-iiot-industry\/49507\/\" target=\"_blank\" rel=\"noopener nofollow\">internet of things (IoT.)<\/a> They worked in organizations with at least 1,000 employees across many sectors. Kaspersky asked how they\u2019re introducing and securing AI and other interconnected technologies. Here\u2019s what the research revealed.<\/p>\n<h2>AI is organizations\u2019 significant focus for the next two years<\/h2>\n<blockquote><p>These new technologies are an evolution that started with business intelligence then evolved into data science. We keep finding new ways to gain intelligence from data, and Generative AI is an example of this.<\/p>\n<cite><p>Head of Cybersecurity at a leading bank in Brazil<\/p><\/cite><\/blockquote>\n<p>AI is becoming a cornerstone for organizations striving to stay ahead thanks to its ability to foster innovation. In cybersecurity, AI offers predictive analytics and greater adaptability. Goldman Sachs says <a href=\"https:\/\/www.goldmansachs.com\/intelligence\/pages\/ai-investment-forecast-to-approach-200-billion-globally-by-2025.html\" target=\"_blank\" rel=\"noopener nofollow\">global investment in AI will reach 200 billion US dollars<\/a> by 2025.<\/p>\n<p>AI is more than a technology. It\u2019s a strategy that lets organizations navigate today\u2019s complex business environment.<\/p>\n<h3>AI adoption<\/h3>\n<p>Nearly all organizations surveyed have already adopted (54 percent) or plan to adopt AI within two years (33 percent.)<\/p>\n<p>Respondents see Generative AI (GenAI) as valuable for improving security technologies\u2019 performance. Goldman Sachs economists Joseph Briggs and Devesh Kodnani say <a href=\"https:\/\/www.goldmansachs.com\/intelligence\/pages\/ai-investment-forecast-to-approach-200-billion-globally-by-2025.html\" target=\"_blank\" rel=\"noopener nofollow\">GenAI could boost global labor productivity<\/a> by more than one percentage point yearly once its use becomes widespread.<\/p>\n<p>IT companies worldwide are upskilling their workforce and undertaking GenAI pilots to avoid falling behind. IT giants <a href=\"https:\/\/investor.accenture.com\/~\/media\/Files\/A\/Accenture-IR-V3\/quarterly-earnings\/2023\/q3fy23\/accenture-third-quarter-fiscal-2023-conference-call-transcript.pdf\" target=\"_blank\" rel=\"noopener nofollow\">Accenture<\/a> pledged three billion US dollars to data and AI investment, while French tech firm <a href=\"https:\/\/news.bloomberglaw.com\/artificial-intelligence\/it-giant-capgemini-will-invest-2-2-billion-in-generative-ai\" target=\"_blank\" rel=\"noopener nofollow\">Capgemini<\/a> is putting two billion Euros towards GenAI over the next three years.<\/p>\n<blockquote><p>No previous technology wave has captured the attention of leaders and the general public as fast as GenAI [\u2026] Companies will need to reinvent how they operate with AI at the core.<\/p>\n<cite><p>Julie Sweet, Chief Executive Officer, Accenture<\/p><\/cite><\/blockquote>\n<h3>Securing AI<\/h3>\n<p>49 percent of organizations said they were extremely well, or well prepared, to secure AI. Almost 50 percent think AI is slightly or not at all hard to secure.<\/p>\n<p>Compared with securing other interconnected technologies, most organizations felt more prepared to secure AI. In responding to Kaspersky\u2019s survey, the head of cybersecurity at a Brazilian bank said, \u201cI mostly don\u2019t find security problems with GenAI. We already understand how to run and train it.\u201d<\/p>\n<p>While many organizations feel confident in their ability to secure AI, a little over half felt less than well-prepared to secure AI. These businesses need to do more to prepare for the inevitable scale-up of AI-based technologies.<\/p>\n<h2>AI makes digital trust and data compliance indispensable<\/h2>\n<p>AI introduces new challenges and complexities in protecting sensitive data and maintaining digital trust.<\/p>\n<p>Digital trust is an aspect of customer trust. In <a href=\"https:\/\/www.kaspersky.com\/blog\/secure-futures-magazine\/insight-story-digital-trust\/48090\/\" target=\"_blank\" rel=\"noopener nofollow\">Kaspersky podcast Insight Story<\/a>, emerging tech security expert Malek Ben Salem described digital trust as, \u201cOur confidence that our privacy is protected and secured, the reliability of digital transactions and how sure we are of the identities of those we engage with.\u201d<\/p>\n<p>Tech researchers <a href=\"https:\/\/www.mckinsey.com\/capabilities\/quantumblack\/our-insights\/why-digital-trust-truly-matters\" target=\"_blank\" rel=\"noopener nofollow\">McKinsey\u2019s 2022 Digital Trust report<\/a> said 70 percent of people trust companies to protect their privacy, but most companies aren\u2019t meeting their expectations.<\/p>\n<p>Data breaches, unauthorized access and privacy violations can erode digital trust and lead to reputation damage, lost business and regulatory consequences. Building digital trust takes time but is essential to users\u2019 confidence in AI.<\/p>\n<h3>How AI impacts digital trust<\/h3>\n<p>AI lets organizations collect and store more data about customers, operations and interactions. This wealth of data helps gain insight but also means more risk of breaches.<\/p>\n<p>AI facilitates sharing data between devices, networks and organizations. Data sharing aids collaboration, efficiency and innovation but also means more opportunities for unauthorized access.<\/p>\n<p>As it is relatively new, organizations may struggle to be clear about their practices and security around AI. Without clear communication, trust may break down.<\/p>\n<h3>Top ways organizations are improving digital trust and compliance<\/h3>\n<p>Adopting zero-trust frameworks is organizations\u2019 top response to the need to improve digital trust, with 81 percent already using or planning to adopt zero-trust within two years. Other actions include pursuing data privacy and cyber resilience regulations (74 percent) and digital sovereignty initiatives (73 percent.)<\/p>\n<p>Kaspersky\u2019s research found companies introducing zero-trust frameworks are better prepared to secure AI and other interconnected technologies: 51 percent of zero-trust framework early adopters said they were extremely well-prepared or well-prepared to secure these technologies, compared with just 27 percent of the rest.<\/p>\n<h2>The zero-trust canvas: Painting the future of cybersecurity<\/h2>\n<p>The rise of AI is opening the door for organizations to break with all traditions that don\u2019t work for today\u2019s tech realities. Traditional cybersecurity is vulnerable to insider attack because it relies on trusting those within a network\u2019s perimeter while viewing outsiders as suspicious.<\/p>\n<p>Enter: Zero-trust frameworks. The head of IT at cloud provider <a href=\"https:\/\/www.searce.com\/\" target=\"_blank\" rel=\"noopener nofollow\">Searce<\/a> said, \u201cThe zero-trust security model is the only framework that works. The traditional security model can\u2019t do the job, especially for interconnected technologies.\u201d<\/p>\n<p>Under zero-trust frameworks, every user and device must undergo continuous <a href=\"https:\/\/www.kaspersky.com\/blog\/secure-futures-magazine\/university-identity-theft-authentication\/43820\/\" target=\"_blank\" rel=\"noopener nofollow\">multi-factor authentication (MFA)<\/a> and authorization, regardless of their trust level. Users and devices get the minimum access needed for their tasks, with constant monitoring of user activity, device behavior and network traffic.<\/p>\n<h2>Regulation and compliance<\/h2>\n<p>With each territory having different data protection and privacy legislation, global organizations find it hard to achieve consistent standards around AI.<\/p>\n<p>62 percent of leaders find compliance certification hard. They want to see standardized compliance processes across regulations and say online tools and platforms, with clear guidelines, would further simplify certification.<\/p>\n<h2>Handling growing challenges and preparing to secure AI<\/h2>\n<p>With the scale of change AI will likely bring, organizations must have a strategy to prepare themselves to adopt and secure it.<\/p>\n<p>Kaspersky research uncovered four effective strategies to ensure readiness to secure AI and other interconnected technologies: Adopting security by design principles, training and upskilling your workforce, upgrading your cybersecurity solutions and meeting regulation and standards. The full report, <a href=\"https:\/\/go.kaspersky.com\/connected-technologies-enterprise-report.html\" target=\"_blank\" rel=\"noopener nofollow\">Connecting the future of business<\/a>, details each strategy.<\/p>\n<p>Interconnected technologies like AI bring huge business opportunities but also a new era of vulnerability to serious cyberthreats. With more data collected and transmitted, cybersecurity measures must get stronger.<\/p>\n<p>Organizations can use effective strategies to safeguard critical assets and fortify customer trust amid a growing interconnected landscape. Leaders must also resource cybersecurity well enough to enable access to improved cybersecurity solutions that can meet oncoming challenges.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>AI will change most industries but also brings new risks and challenges. Kaspersky\u2019s new research looks at how enterprises worldwide are approaching it.<\/p>\n","protected":false},"author":2552,"featured_media":50304,"template":"","coauthors":[3673],"class_list":{"0":"post-50303","1":"emagazine","2":"type-emagazine","3":"status-publish","4":"has-post-thumbnail","6":"emagazine-category-artificial-intelligence","7":"emagazine-category-data-and-privacy","8":"emagazine-category-emerging-tech","9":"emagazine-tag-genai","10":"emagazine-tag-interconnected-technologies","11":"emagazine-tag-research"},"hreflang":[{"hreflang":"x-default","url":"https:\/\/www.kaspersky.com\/blog\/secure-futures-magazine\/insight-story-ai-ethics\/50030\/"},{"hreflang":"en-us","url":"https:\/\/usa.kaspersky.com\/blog\/secure-futures-magazine\/insight-story-ai-ethics\/29525\/"}],"acf":[],"_links":{"self":[{"href":"https:\/\/www.kaspersky.com\/blog\/wp-json\/wp\/v2\/emagazine\/50303","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kaspersky.com\/blog\/wp-json\/wp\/v2\/emagazine"}],"about":[{"href":"https:\/\/www.kaspersky.com\/blog\/wp-json\/wp\/v2\/types\/emagazine"}],"author":[{"embeddable":true,"href":"https:\/\/www.kaspersky.com\/blog\/wp-json\/wp\/v2\/users\/2552"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kaspersky.com\/blog\/wp-json\/wp\/v2\/media\/50304"}],"wp:attachment":[{"href":"https:\/\/www.kaspersky.com\/blog\/wp-json\/wp\/v2\/media?parent=50303"}],"wp:term":[{"taxonomy":"author","embeddable":true,"href":"https:\/\/www.kaspersky.com\/blog\/wp-json\/wp\/v2\/coauthors?post=50303"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}