[et_pb_section fb_built=”1″ admin_label=”Section” _builder_version=”4.22.0″ _module_preset=”default” custom_margin=”0px||0px||false|false” custom_padding=”0px||0px||false|false” locked=”off” global_colors_info=”{}”][et_pb_row column_structure=”1_4,3_4″ _builder_version=”4.27.0″ _module_preset=”default” custom_padding=”50px||||false|false” custom_css_main_element=”z-index:0!important;” global_colors_info=”{}”][et_pb_column type=”1_4″ disabled_on=”on|on|off” _builder_version=”4.22.0″ _module_preset=”default” custom_padding=”||||false|false” sticky_position=”top” sticky_offset_top=”100px” sticky_limit_bottom=”section” motion_trigger_start=”top” global_colors_info=”{}”][et_pb_text admin_label=”indice” _builder_version=”4.27.4″ _module_preset=”default” custom_margin=”||0px||false|false” custom_padding=”||14px||false|false” link_option_url=”#1″ global_colors_info=”{}”]<\/p>\n
Sections<\/strong><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”3_4″ _builder_version=”4.27.0″ _module_preset=”default” custom_css_main_element=”z-index:0!important;” global_colors_info=”{}”][et_pb_text admin_label=”seccion” module_id=”1″ module_class=”ittopicscontent” _builder_version=”4.27.4″ _module_preset=”default” z_index=”0″ custom_margin=”0px||0px||true|false” custom_padding=”0px||0px||false|false” custom_css_main_element=”font-family:%22Pandora-Light%22;” locked=”off” global_colors_info=”{}”]Today we\u2019re tackling a hot topic that most people have more opinions than actual knowledge about: Generative artificial intelligence<\/a> and its use in IT management and cybersecurity<\/a><\/strong>. Even though Skynet remains fiction (for now), it\u2019s undeniable that generative AI is changing the daily routines of CISOs, IT managers, and service managers. So, whether we like it or not, the AI train has arrived at the station\u2014and while not everything that glitters is gold (a sensible stance), ignoring a train coming our way is never a good strategy. Generative AI is a branch of artificial intelligence that specializes in content creation<\/strong> in the form of text, images, code, audio… This is possible thanks to learning from large volumes of data during its training. This generative AI works based on several key principles:<\/p>\n Not all generative AIs are the same, nor do they work in the same way. Similarly, what they generate does not have the same usefulness when it comes to potentially helping us in IT management. When on August 31, 2017<\/a> Google researchers published their paper on Transformer (a novel neural network architecture for \u201cunderstanding\u201d language), they probably didn\u2019t anticipate the whirlwind that would be unleashed by the flap of that butterfly\u2019s wings. In many ways, as this type of AI is the one with the most direct applications in an IT manager\u2019s job<\/strong>. As many readers may have already noticed, some of the most interesting applications are in cybersecurity, such as:<\/p>\n These use two neural networks that compete against each other<\/strong>. One is a generator that creates fake data, and the other is a discriminator that tries to distinguish between real and fake data. In several ways, with interesting applications in cybersecurity:<\/p>\n These are models that learn a compressed and possible representation of input data. With that, they may generate new instances that are variations of the original data.<\/p>\n Here we are stretching it and trying to use tools in IT management that aren\u2019t the most appropriate. These are often known for image generation (like Stable Diffusion), and they work by gradually adding noise to training data. Then they learn to reverse the process and generate new data from the noise.<\/p>\n Again, diffusion models are not the most useful for the daily Sisyphus grind of IT management, but they could help generate synthetic data to test SIEMs<\/a>, for example. Considering the above, it\u2019s clear that if AI can be correctly integrated<\/strong> into our work processes<\/a>, we could obtain potential benefits such as:<\/p>\n The previous section is filled with conditionals and terms like \u201cpossible\u201d or \u201cpotential\u201d for a reason. Because at the time of writing, generative AI still has significant limitations and risks<\/strong>. This is crucial and must be well understood, rather than blindly following marketing or the countless self-proclaimed gurus popping up like mushrooms. Let me repeat: absolutely never assign a language model anything related to regulatory compliance<\/strong> without a review by an expert human. As often happens with powerful technologies, malicious actors are early adopters. Given the above, how do we integrate generative AI to “not fall behind” without triggering disasters? So, some best practices for implementation would be:<\/p>\n The AI capabilities of Pandora FMS and Pandora SIEM are specialized in analysis and correlation<\/strong>. However, it is true that when coordinated with generative AI, their native capabilities could be enhanced in ways such as:<\/p>\n We all love to play fortune-teller, but true experts in this field, when asked to predict the future of AI, often reply: \u201cI don\u2019t know.\u201d Regardless of the future, generative AI is not just another productivity tool, but (pardon the clich\u00e9) a paradigm shift. Let\u2019s summarize the key points we\u2019ve seen through common questions.<\/p>\n Predictive AI analyzes past data to predict future outcomes<\/strong> or probabilities (e.g., Server X has an 80% chance of failing within 72 hours). The most relevant are:<\/p>\n Several, such as its potential to craft more convincing phishing attacks, deepfakes, new malicious code, or even design complex attacks. In ITSM, it can automate and streamline ticket resolution, enhance user experience, and free teams for higher-value tasks. Pandora ITSM is a balance between flexibility, simplicity and power<\/p>\n And above all, it adapts to your needs.<\/p>\n [\/et_pb_text][et_pb_button button_url=”@ET-DC@eyJkeW5hbWljIjp0cnVlLCJjb250ZW50IjoicG9zdF9saW5rX3VybF9wYWdlIiwic2V0dGluZ3MiOnsicG9zdF9pZCI6IjM0NDM0MiJ9fQ==@” button_text=”Get your FREE Trial!” button_alignment=”center” button_alignment_tablet=”center” button_alignment_phone=”center” button_alignment_last_edited=”on|phone” _builder_version=”4.22.0″ _dynamic_attributes=”button_url” _module_preset=”default” custom_button=”on” button_text_size=”1em” button_text_color=”#ffffff” button_bg_use_color_gradient=”on” button_bg_color_gradient_direction=”90deg” button_bg_color_gradient_stops=”#82B92E 0%|#3CB92E 100%” button_bg_color_gradient_start=”#82B92E” button_bg_color_gradient_end=”#3CB92E” button_border_width=”0px” button_border_radius=”100px” button_use_icon=”off” z_index=”0″ custom_margin=”40px||0px||false|false” custom_padding=”10px|40px|10px|40px|true|true” custom_padding_tablet=”” custom_padding_phone=”15px|15px|15px|15px|true|true” custom_padding_last_edited=”on|phone” custom_css_main_element=”right:0!important;||font-family:%22Pandora-Bold%22!important;” locked=”off” global_colors_info=”{}” button_bg_color__hover_enabled=”on|hover” button_bg_color_gradient_start__hover=”#05201F” button_bg_color_gradient_end__hover=”#05201F” button_bg_color_gradient_stops__hover=”#181818 0%|#181818 58%|#181818 100%” button_bg_use_color_gradient__hover=”on”][\/et_pb_button][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":" Sections Why is generative AI transforming IT management? What is generative AI and how does it work? What are the main types of generative AI and what are their applications in IT management? What benefits does generative AI bring to IT management? What risks and limitations does generative AI have in IT? 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\nLike it or not, generative AI has leapt from the pages of science fiction into our daily lives, with promises such as boosting productivity, handling tedious tasks, and helping manage an increasingly complex technological and security<\/a> context.
\nThat\u2019s why we\u2019ll go over the essentials: what it is, the types of AI you may find, its applications in IT management, and its potential benefits… But we\u2019ll also analyze the risks and limitations<\/strong> hidden beneath all the marketing and noise around the topic.<\/p>\nWhy is generative AI transforming IT management?<\/h2>\n
\nIts relevance, moreover, cuts across many areas:<\/p>\n\n
\nLet\u2019s begin by understanding the foundations of the house.<\/p>\nWhat is generative AI and how does it work?<\/h2>\n
\nIt represents another step toward the eternal Trekkie promise of a world where machines do the heavy lifting while we paint and write poetry\u2014except now the AI writes and paints, while we keep clocking in.
\nThis marks another evolutionary stage within the main types of AI, which are:<\/p>\n\n
\n
What are the main types of generative AI and what are their applications in IT management?<\/h2>\n
\nLet\u2019s take a look at the multiple types and their usefulness in our daily work<\/strong>.<\/p>\nTransformer Models (GPT and other LLMs)<\/h3>\n
\nSince then, the \u201cunderstanding\u201d (note the quotation marks) of language by these models is not only written language but also extends to audio and images.
\nTo do this, they analyze input segments in parallel through mechanisms called attention, assigning importance based on mathematical similarity calculations (or attention weights). From there, they provide a response according to the request.<\/p>\nHow can it help us in IT?<\/h3>\n
\nIt can help us with:<\/p>\n\n
\n
GAN (Generative Adversarial Networks)<\/h3>\n
\nThis competition enables improvement.<\/p>\nHow can it help us in IT?<\/h4>\n
\n
VAE (Variational Autoencoders)<\/h3>\n
How could it help us in IT?<\/h4>\n
\nStill, a VAE could learn the normal representation of a server\u2019s CPU usage<\/a>. Based on that, any significant deviation from this representation could be marked as a potential anomaly, indicating a DDoS<\/a> or hardware failure.
\nHowever, I insist, this is not the right tool<\/strong>, and classic Machine Learning will perform much better here.<\/p>\nDiffusion Models<\/h3>\n
How could it help us in IT?<\/h4>\n
\nHowever, other types of AIs, like LLMs, are far more suitable for these tasks.<\/p>\nWhat benefits does generative AI bring to IT management?<\/h2>\n
\n
What risks and limitations does generative AI have in IT?<\/h2>\n
\nAnyone who has deeply used this technology, or truly understands how it works, knows that in the complex day-to-day of real-world work, managing these risks is essential<\/strong>.
\nOtherwise, we\u2019ll soon realize that not everything that glitters is gold, causing serious issues with severe consequences, due to…<\/p>\nBias and hallucinations<\/h3>\n
\nLanguage models often generate incorrect or fabricated information<\/strong> (commonly referred to as \u201challucinations\u201d) and can perpetuate biases found in their training data.
\nAnd this is not solved by newer versions<\/strong> or \u201cbetter\u201d training.
\nEven OpenAI itself, creator of the famous ChatGPT, has finally admitted what any knowledgeable user already knew:
\nHallucinations are mathematically unavoidable and a key feature<\/strong> of language models.
\nTherefore, they\u2019re not engineering flaws \u2014 they are an essential and inevitable trait<\/strong>. A language model is like your overly confident uncle at Christmas: it cannot remain silent or say \u201cI don\u2019t know,\u201d and you must be cautious about what it says or does.
\nFor that reason, you may not assign it critical tasks without expert human oversight<\/strong>.
\nHere are a couple of serious IT risk examples:<\/p>\n\n
Privacy and compliance<\/h3>\n
\nAdditionally, using public models may involve sending sensitive corporate data to an external environment, violating regulations like the GDPR.
\nIt is critical to use private models or otherwise ensure data privacy.<\/p>\nDeepfakes and security<\/h3>\n
\nThus, language models pose cybersecurity risks, such as:<\/p>\n\n
How to adopt generative AI in an IT company?<\/h2>\n
\nThree basic principles:<\/p>\n\n
\n
Use cases with Pandora FMS and Pandora SIEM<\/h2>\n
\n
What is the future of generative AI in IT?<\/h2>\n
\nThat\u2019s the honest answer, and it should be said more often.
\nBut these days that attitude is punished, and emerging trends point to a deeper and more autonomous integration through:<\/p>\n\n
\nIts future lies in more efficient operations, proactive security, and optimized, resilient services.
\nFor IT leaders, the challenge is no longer whether to adopt it, but how to do so in a safe, controlled, and strategic manner.
\nStarting with pilot projects, prioritizing integration with corporate knowledge, and ensuring human oversight of critical processes<\/strong> are key to leveraging its potential without generating unmanageable risks.<\/p>\nFAQs<\/h2>\n
What\u2019s the difference between generative AI and predictive AI?<\/h4>\n
\nGenerative AI uses its training knowledge to create new content that didn\u2019t exist before<\/strong> (e.g., Write a Python script to monitor Server X and prevent failure).<\/p>\nWhat are the main generative AI models?<\/h4>\n
\n
What risks does generative AI pose in cybersecurity?<\/h4>\n
\nAdditionally, there\u2019s a risk of sensitive data leaks if public models are used.<\/p>\nWhat benefits does it bring to ITSM and cloud?<\/h4>\n
\nIn cloud environments, it can enable intelligent autoscaling, predict failures, and optimize costs and resources.[\/et_pb_text][et_pb_button button_url=”@ET-DC@eyJkeW5hbWljIjp0cnVlLCJjb250ZW50IjoicG9zdF9saW5rX3VybF9wYWdlIiwic2V0dGluZ3MiOnsicG9zdF9pZCI6IjM2MjI3MCJ9fQ==@” button_text=”\u2190 Back to IT Topics” button_alignment=”left” _builder_version=”4.22.0″ _dynamic_attributes=”button_url” _module_preset=”default” custom_button=”on” button_text_size=”1em” button_text_color=”#0C312F” button_bg_color=”#FFFFFF” button_bg_color_gradient_direction=”90deg” button_bg_color_gradient_stops=”#82B92E 0%|#3CB92E 100%” button_bg_color_gradient_start=”#82B92E” button_bg_color_gradient_end=”#3CB92E” button_border_width=”1px” button_border_color=”#eaeaea” button_border_radius=”100px” button_use_icon=”off” z_index=”0″ custom_margin=”60px||0px||false|false” custom_padding=”10px|50px|10px|50px|true|true” custom_padding_tablet=”” custom_padding_phone=”10px|20px|10px|20px|true|true” custom_padding_last_edited=”on|phone” custom_css_main_element=”right:0!important;||font-family:%22Pandora-Bold%22!important;” global_module=”367749″ locked=”off” global_colors_info=”{}” button_bg_color__hover_enabled=”on|desktop” button_bg_color_gradient_start__hover=”#eaeaea” button_bg_color_gradient_end__hover=”#f4f4f4″ button_bg_color__hover=”#eaeaea” button_bg_enable_color__hover=”on” button_bg_use_color_gradient__hover=”on” button_bg_color_gradient_stops__hover=”#eaeaea 0%|#f4f4f4 100%”][\/et_pb_button][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|desktop” admin_label=”Final CTA” _builder_version=”4.22.0″ _module_preset=”default” background_color=”#161327″ use_background_color_gradient=”on” background_color_gradient_stops=”rgba(22,19,39,0.75) 16%|rgba(22,19,39,0.45) 100%” background_color_gradient_overlays_image=”on” background_image=”https:\/\/pandorafms.com\/wp-content\/uploads\/2024\/02\/banner-trial-itsm.webp” z_index=”1″ max_width=”1080px” max_width_tablet=”98%” max_width_phone=”98%” max_width_last_edited=”on|tablet” module_alignment=”center” custom_margin=”80px||80px||true|false” custom_padding=”40px|20px|120px|20px|false|true” custom_padding_tablet=”40px|0px|120px|0px|false|true” custom_padding_phone=”40px|0px|120px|0px|false|true” scroll_scaling=”40|55|85|100|100%|120%|100%” motion_trigger_start=”top” background_last_edited=”off|desktop” border_radii=”off|20px|20px|20px|20px” border_color_all=”#ffffff” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”80px” box_shadow_color=”#506da0″ global_module=”367091″ saved_tabs=”all” global_colors_info=”{}”][et_pb_row use_custom_gutter=”on” gutter_width=”2″ make_equal=”on” _builder_version=”4.22.0″ _module_preset=”default” max_width=”550px” module_alignment=”center” custom_margin=”0px||0px||true|false” custom_padding=”0px|0px|0px|0px|true|true” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.22.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.0″ _module_preset=”default” header_2_font_size=”2em” text_orientation=”center” module_alignment=”left” custom_margin=”0px||20px||false|false” custom_padding=”0px||0px||true|false” global_colors_info=”{}”]<\/p>\n