{"id":2568,"date":"2025-09-19T13:55:41","date_gmt":"2025-09-19T17:55:41","guid":{"rendered":"https:\/\/orendasecurity.com\/services\/penetration-testing-for-generative-ai-machine-learning-and-large-language-models-llm-copy\/"},"modified":"2025-10-24T11:13:57","modified_gmt":"2025-10-24T15:13:57","slug":"penetration-testing-ia","status":"publish","type":"page","link":"https:\/\/orendasecurity.com\/es\/penetration-testing-ia\/","title":{"rendered":"Penetration testing para IA generativa, aprendizaje autom\u00e1tico y modelos de lenguaje grandes (LLM)"},"content":{"rendered":"<!--themify_builder_content-->\n<div id=\"themify_builder_content-2568\" data-postid=\"2568\" class=\"themify_builder_content themify_builder_content-2568 themify_builder tf_clear\">\n                    <div  data-lazy=\"1\" class=\"module_row themify_builder_row tb_xatp546 tb_first tf_w\">\n            <span class=\"tb_row_frame_wrap tf_overflow tf_abs\" data-lazy=\"1\"><span class=\"tb_row_frame tb_row_frame_bottom  tf_abs tf_hide tf_overflow tf_w\"><\/span><\/span>            <div class=\"row_inner col_align_top tb_col_count_1 tf_box tf_rel\">\n                        <div  data-lazy=\"1\" class=\"module_column tb-column col-full tb_j5v5130 first\">\n                            <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_1 tb_y7ny510\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column col-full tb_vaby903 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_1on7404   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h1>Penetration testing de IA generativa, aprendizaje automatico y modelos de lenguaje grandes (LLM)<\/h1>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n                <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_1 tb_d6hx124\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column col-full tb_78ei415 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_bd4j411   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p>En el panorama tecnol\u00f3gico actual, en r\u00e1pida evoluci\u00f3n, las organizaciones est\u00e1n adoptando cada vez m\u00e1s la IA generativa, el aprendizaje autom\u00e1tico y los modelos de lenguaje grandes para impulsar la innovaci\u00f3n. Sin embargo, estas potentes herramientas plantean retos de seguridad \u00fanicos que los enfoques tradicionales de ciberseguridad no logran abordar.<\/p>\n<p>Nos especializamos en pruebas de seguridad integrales para sistemas de IA, ayudando a las organizaciones a identificar y mitigar los riesgos antes de que se conviertan en vulnerabilidades.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n                <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_2 tb_knx297\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column col4-2 tb_g4yb97 first\">\n                    <!-- module buttons -->\n<div  class=\"module module-buttons tb_udr997 buttons-horizontal solid   circle\" data-lazy=\"1\">\n        <div class=\"module-buttons-item tf_in_flx\">\n                        <a href=\"\/es\/solicite-una-cuota\/\" class=\"ui builder_button tf_in_flx tb_default_color\" target=\"_blank\" rel=\"noopener\">\n                                                SOLICITE UNA COTIZACI\u00d3N                                        <\/a>\n                <\/div>\n            <\/div>\n<!-- \/module buttons -->\n        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column sub_column col4-2 tb_aptb97 last\">\n                            <\/div>\n                    <\/div>\n                <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-anchor=\"services\" data-lazy=\"1\" class=\"module_row themify_builder_row tb_has_section tb_section-services tb_z25k364 tf_w\">\n                        <div class=\"row_inner col_align_top tb_col_count_1 tf_box tf_rel\">\n                        <div  data-lazy=\"1\" class=\"module_column tb-column col-full tb_wtdr046 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_ktfa616   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2>Nuestras pruebas de seguridad de IA se centran en \u00e1reas clave de las pruebas de IA, ML y LLM:<\/h2>\n<ol>\n<li><strong>Ataques adversarios al modelo<\/strong><br>Simulamos ataques adversarios para poner a prueba la solidez de sus modelos de ML. Mediante la introducci\u00f3n de datos especialmente dise\u00f1ados, evaluamos si el modelo puede ser manipulado para realizar predicciones o clasificaciones incorrectas.<\/li>\n<li><strong>Envenenamiento de datos y manipulaci\u00f3n de modelos<\/strong><br>Realizamos ataques de envenenamiento de datos que manipulan los datos de entrenamiento, comprometiendo la capacidad del modelo para realizar predicciones precisas. Tambi\u00e9n exploramos formas de manipular el comportamiento del modelo a trav\u00e9s de esta t\u00e9cnica.<\/li>\n<li><strong>Inversi\u00f3n de modelos y fuga de datos<\/strong><br>Nuestras pruebas incluyen intentos de invertir modelos de aprendizaje autom\u00e1tico, revelando datos de entrenamiento confidenciales o algoritmos patentados. Tambi\u00e9n evaluamos el riesgo de fugas de datos no intencionadas que podr\u00edan exponer los datos de los usuarios o de la organizaci\u00f3n a trav\u00e9s de los resultados del modelo.<\/li>\n<li><strong>Seguridad de API y puntos finales para servicios de IA<\/strong><br>Muchos modelos de IA y ML est\u00e1n expuestos a trav\u00e9s de API. Nuestras penetration testing incluyen la evaluaci\u00f3n de la seguridad de estas API, buscando vulnerabilidades como el acceso no autorizado, la denegaci\u00f3n de servicio o la validaci\u00f3n inadecuada de los datos de entrada.<\/li>\n<li><strong>Inyecci\u00f3n y explotaci\u00f3n de comandos LLM<\/strong><br>En el caso de los modelos de lenguaje grandes (LLM), probamos vulnerabilidades como la inyecci\u00f3n de comandos, en la que un atacante podr\u00eda manipular las respuestas del modelo u obtener acceso no autorizado a datos confidenciales a trav\u00e9s de entradas dise\u00f1adas espec\u00edficamente.<\/li>\n<li><strong>Sesgos y vulnerabilidades \u00e9ticas<\/strong><br>Evaluamos los modelos de IA en busca de sesgos en la toma de decisiones y los posibles riesgos \u00e9ticos que plantean los sistemas automatizados, garantizando que sus productos de IA se ajusten a las normas \u00e9ticas y los principios de equidad.<\/li>\n<li><strong>Implementaci\u00f3n segura de modelos<\/strong><br>Probamos el proceso de implementaci\u00f3n de los sistemas de IA para garantizar que se implementen de forma segura en su entorno, con los controles de acceso, el cifrado y la supervisi\u00f3n adecuados.<\/li>\n<li><strong>Robustez de los modelos frente a la ingenier\u00eda inversa<\/strong><br>Evaluamos la resistencia de sus modelos de aprendizaje autom\u00e1tico frente a los intentos de ingenier\u00eda inversa, garantizando que los atacantes no puedan reproducir o robar f\u00e1cilmente su propiedad intelectual.<\/li>\n<\/ol>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-anchor=\"services\" data-lazy=\"1\" class=\"module_row themify_builder_row tb_has_section tb_section-services tb_ycb9000 tf_w\">\n                        <div class=\"row_inner col_align_top tb_col_count_1 tf_box tf_rel\">\n                        <div  data-lazy=\"1\" class=\"module_column tb-column col-full tb_dhhp441 first\">\n                    <!-- module fancy heading -->\n<div  class=\"module module-fancy-heading tb_1u2k661 \" data-lazy=\"1\">\n        <h1 class=\"fancy-heading\">\n    <span class=\"main-head tf_block\">\n                    \u00bfPor qu\u00e9 elegir nuestras pruebas de seguridad con IA?            <\/span>\n\n    \n    <span class=\"sub-head tf_block tf_rel\">\n                                <\/span>\n    <\/h1>\n<\/div>\n<!-- \/module fancy heading -->\n        <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_4 tb_8nbu750\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column col4-1 tb_qcto566 first\">\n                    <!-- module icon -->\n<div  class=\"module module-icon tb_6xe4000  small none icon_horizontal \" data-lazy=\"1\">\n\t\t\t<div class=\"module-icon-item\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/zza.2bb.myftpupload.com\/wp-content\/uploads\/2025\/04\/Expertise-testing.png\" width=\"83\" height=\"83\" class=\"tf_box\" title=\"Penetration testing para IA generativa, aprendizaje autom\u00e1tico y modelos de lenguaje grandes (LLM)\" alt=\"Penetration testing para IA generativa, aprendizaje autom\u00e1tico y modelos de lenguaje grandes (LLM)\">\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t<\/div>\n<!-- \/module icon -->\n        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column sub_column col4-1 tb_lyvd570\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_a1tn106   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>EXPERIENCIA ESPECIALIZADA<\/strong><\/p>\n<p>Nuestro equipo combina un profundo conocimiento en ciberseguridad con experiencia en desarrollo de IA, lo que le aporta una perspectiva \u00fanica para identificar vulnerabilidades en sistemas complejos de IA.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column sub_column col4-1 tb_1mhu507\">\n                    <!-- module icon -->\n<div  class=\"module module-icon tb_gmzc081  small none icon_horizontal \" data-lazy=\"1\">\n\t\t\t<div class=\"module-icon-item\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/zza.2bb.myftpupload.com\/wp-content\/uploads\/2025\/05\/tailored.png\" width=\"83\" height=\"83\" class=\"tf_box\" title=\"Penetration testing para IA generativa, aprendizaje autom\u00e1tico y modelos de lenguaje grandes (LLM)\" alt=\"Penetration testing para IA generativa, aprendizaje autom\u00e1tico y modelos de lenguaje grandes (LLM)\">\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t<\/div>\n<!-- \/module icon -->\n        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column sub_column col4-1 tb_o8xn075 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_v5oq061   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>SOLUCIONES DE SEGURIDAD PERSONALIZADAS<\/strong><\/p>\n<p>Entendemos que cada modelo de IA es diferente, al igual que cada negocio. Nuestros servicios de penetration testing se personalizan para abordar los riesgos espec\u00edficos asociados con su aplicaci\u00f3n y el tipo de datos que maneja.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n                <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_4 tb_0gog840\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column col4-1 tb_nhs4010 first\">\n                    <!-- module icon -->\n<div  class=\"module module-icon tb_62jk560  small none icon_horizontal \" data-lazy=\"1\">\n\t\t\t<div class=\"module-icon-item\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/zza.2bb.myftpupload.com\/wp-content\/uploads\/2025\/05\/methodology.png\" width=\"83\" height=\"83\" class=\"tf_box\" title=\"Penetration testing para IA generativa, aprendizaje autom\u00e1tico y modelos de lenguaje grandes (LLM)\" alt=\"Penetration testing para IA generativa, aprendizaje autom\u00e1tico y modelos de lenguaje grandes (LLM)\">\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t<\/div>\n<!-- \/module icon -->\n        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column sub_column col4-1 tb_4jn7408\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_xguy115   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>ENFOQUE BASADO EN LA METODOLOG\u00cdA<\/strong><\/p>\n<p>Empleamos una metodolog\u00eda estructurada y completa desarrollada espec\u00edficamente para las pruebas de sistemas de IA, lo que garantiza que ninguna vulnerabilidad pase desapercibida.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column sub_column col4-1 tb_hyng446\">\n                    <!-- module icon -->\n<div  class=\"module module-icon tb_p7hj106  small none icon_horizontal \" data-lazy=\"1\">\n\t\t\t<div class=\"module-icon-item\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/zza.2bb.myftpupload.com\/wp-content\/uploads\/2025\/05\/end-to-end.png\" width=\"83\" height=\"83\" class=\"tf_box\" title=\"Penetration testing para IA generativa, aprendizaje autom\u00e1tico y modelos de lenguaje grandes (LLM)\" alt=\"Penetration testing para IA generativa, aprendizaje autom\u00e1tico y modelos de lenguaje grandes (LLM)\">\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t<\/div>\n<!-- \/module icon -->\n        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column sub_column col4-1 tb_un1f400 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_m5bv210   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>PROTECCI\u00d3N INTEGRAL<\/strong><\/p>\n<p>Nuestros servicios van m\u00e1s all\u00e1 de las penetration testing. Proporcionamos informaci\u00f3n \u00fatil, recomendaciones de correcci\u00f3n y mejores pr\u00e1cticas para ayudarle a proteger su infraestructura de IA a lo largo de todo su ciclo de vida, desde el dise\u00f1o y el desarrollo hasta la implementaci\u00f3n y el mantenimiento.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n                <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-anchor=\"services\" data-lazy=\"1\" class=\"module_row themify_builder_row tb_has_section tb_section-services tb_frct010 tf_w\">\n                        <div class=\"row_inner col_align_top tb_col_count_1 tf_box tf_rel\">\n                        <div  data-lazy=\"1\" class=\"module_column tb-column col-full tb_mbkw614 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_x8gj905   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2>Nuestro proceso<\/h2>    <\/div>\n<\/div>\n<!-- \/module text -->        <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_3 tb_c1uz109\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column col3-1 tb_hcli608 first\">\n                    <!-- module feature -->\n<div  class=\"module module-feature tb_ou0y090 with-chart layout-icon-left size-small \" data-layout-mobile=\"icon-left\" data-layout-desktop=\"icon-left\" data-lazy=\"1\">\n        <div class=\"module-feature-image tf_textc tf_rel\">\n                            <span class=\"module-feature-chart-html5 tf_box tf_rel tf_inline_b\">\n                                    <svg class=\"tf_abs tf_w tf_h\">\n                    <circle class=\"tb_feature_fill\" r=\"calc(50% - 1.50px)\" cx=\"50%\" cy=\"50%\" stroke-width=\"3\"\/>\n                    <circle class=\"tb_feature_stroke\" r=\"calc(50% - 1.50px)\" cx=\"50%\" cy=\"50%\" stroke=\"#9f9165\" stroke-width=\"3\" data-progress=\"100\" stroke-dasharray=\"0,10000\"\/>\n                                        <\/svg>\n                                <span class=\"chart-html5-circle tf_w tf_h\">\n                                            <em class=\"module-feature-icon tf_rel\" style=\"color:#3c5164\"><svg  class=\"tf_fa tf-fas-1\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-fas-1\" xlink:href=\"#tf-fas-1\"><\/use><\/svg><\/em>\n                                    <\/span>\n\n                \n            <\/span>\n                <\/div>\n    <div class=\"module-feature-content tf_textc\">\n                    <h3 class=\"module-feature-title\">\n                            Descubrimiento                        <\/h3>\n                    <div class=\"tb_text_wrap\">\n            <p>Analizamos sus sistemas de IA, comprendiendo su arquitectura, flujos de datos y casos de uso espec\u00edficos.<\/p>        <\/div>\n    <\/div>\n<\/div>\n<!-- \/module feature -->\n        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column sub_column col3-1 tb_i6ov604\">\n                    <!-- module feature -->\n<div  class=\"module module-feature tb_bx9l166 with-chart layout-icon-left size-small \" data-layout-mobile=\"icon-left\" data-layout-desktop=\"icon-left\" data-lazy=\"1\">\n        <div class=\"module-feature-image tf_textc tf_rel\">\n                            <span class=\"module-feature-chart-html5 tf_box tf_rel tf_inline_b\">\n                                    <svg class=\"tf_abs tf_w tf_h\">\n                    <circle class=\"tb_feature_fill\" r=\"calc(50% - 1.50px)\" cx=\"50%\" cy=\"50%\" stroke-width=\"3\"\/>\n                    <circle class=\"tb_feature_stroke\" r=\"calc(50% - 1.50px)\" cx=\"50%\" cy=\"50%\" stroke=\"#9f9165\" stroke-width=\"3\" data-progress=\"100\" stroke-dasharray=\"0,10000\"\/>\n                                        <\/svg>\n                                <span class=\"chart-html5-circle tf_w tf_h\">\n                                            <em class=\"module-feature-icon tf_rel\" style=\"color:#3c5164\"><svg  class=\"tf_fa tf-fas-2\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-fas-2\" xlink:href=\"#tf-fas-2\"><\/use><\/svg><\/em>\n                                    <\/span>\n\n                \n            <\/span>\n                <\/div>\n    <div class=\"module-feature-content tf_textc\">\n                    <h3 class=\"module-feature-title\">\n                            Modelado de amenazas                        <\/h3>\n                    <div class=\"tb_text_wrap\">\n            <p>Identificamos posibles vectores de ataque exclusivos de su implementaci\u00f3n de IA.<\/p>        <\/div>\n    <\/div>\n<\/div>\n<!-- \/module feature -->\n        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column sub_column col3-1 tb_bxlg440 last\">\n                    <!-- module feature -->\n<div  class=\"module module-feature tb_9x97300 with-chart layout-icon-left size-small \" data-layout-mobile=\"icon-left\" data-layout-desktop=\"icon-left\" data-lazy=\"1\">\n        <div class=\"module-feature-image tf_textc tf_rel\">\n                            <span class=\"module-feature-chart-html5 tf_box tf_rel tf_inline_b\">\n                                    <svg class=\"tf_abs tf_w tf_h\">\n                    <circle class=\"tb_feature_fill\" r=\"calc(50% - 1.50px)\" cx=\"50%\" cy=\"50%\" stroke-width=\"3\"\/>\n                    <circle class=\"tb_feature_stroke\" r=\"calc(50% - 1.50px)\" cx=\"50%\" cy=\"50%\" stroke=\"#9f9165\" stroke-width=\"3\" data-progress=\"100\" stroke-dasharray=\"0,10000\"\/>\n                                        <\/svg>\n                                <span class=\"chart-html5-circle tf_w tf_h\">\n                                            <em class=\"module-feature-icon tf_rel\" style=\"color:#3c5164\"><svg  class=\"tf_fa tf-fas-3\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-fas-3\" xlink:href=\"#tf-fas-3\"><\/use><\/svg><\/em>\n                                    <\/span>\n\n                \n            <\/span>\n                <\/div>\n    <div class=\"module-feature-content tf_textc\">\n                    <h3 class=\"module-feature-title\">\n                            Pruebas exhaustivas                        <\/h3>\n                    <div class=\"tb_text_wrap\">\n            <p>Ejecutamos pruebas espec\u00edficas en toda su infraestructura y modelos de IA.<\/p>        <\/div>\n    <\/div>\n<\/div>\n<!-- \/module feature -->\n        <\/div>\n                    <\/div>\n                <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_3 tb_w9jw145\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column col3-1 tb_sgll100 first\">\n                    <!-- module feature -->\n<div  class=\"module module-feature tb_9sl4017 with-chart layout-icon-left size-small \" data-layout-mobile=\"icon-left\" data-layout-desktop=\"icon-left\" data-lazy=\"1\">\n        <div class=\"module-feature-image tf_textc tf_rel\">\n                            <span class=\"module-feature-chart-html5 tf_box tf_rel tf_inline_b\">\n                                    <svg class=\"tf_abs tf_w tf_h\">\n                    <circle class=\"tb_feature_fill\" r=\"calc(50% - 1.50px)\" cx=\"50%\" cy=\"50%\" stroke-width=\"3\"\/>\n                    <circle class=\"tb_feature_stroke\" r=\"calc(50% - 1.50px)\" cx=\"50%\" cy=\"50%\" stroke=\"#9f9165\" stroke-width=\"3\" data-progress=\"100\" stroke-dasharray=\"0,10000\"\/>\n                                        <\/svg>\n                                <span class=\"chart-html5-circle tf_w tf_h\">\n                                            <em class=\"module-feature-icon tf_rel\" style=\"color:#3c5164\"><svg  class=\"tf_fa tf-fas-4\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-fas-4\" xlink:href=\"#tf-fas-4\"><\/use><\/svg><\/em>\n                                    <\/span>\n\n                \n            <\/span>\n                <\/div>\n    <div class=\"module-feature-content tf_textc\">\n                    <h3 class=\"module-feature-title\">\n                            An\u00e1lisis e informes                        <\/h3>\n                    <div class=\"tb_text_wrap\">\n            <p>Entregamos resultados detallados con medidas correctivas priorizadas.<\/p>        <\/div>\n    <\/div>\n<\/div>\n<!-- \/module feature -->\n        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column sub_column col3-1 tb_cc63110\">\n                    <!-- module feature -->\n<div  class=\"module module-feature tb_0xsy000 with-chart layout-icon-left size-small \" data-layout-mobile=\"icon-left\" data-layout-desktop=\"icon-left\" data-lazy=\"1\">\n        <div class=\"module-feature-image tf_textc tf_rel\">\n                            <span class=\"module-feature-chart-html5 tf_box tf_rel tf_inline_b\">\n                                    <svg class=\"tf_abs tf_w tf_h\">\n                    <circle class=\"tb_feature_fill\" r=\"calc(50% - 1.50px)\" cx=\"50%\" cy=\"50%\" stroke-width=\"3\"\/>\n                    <circle class=\"tb_feature_stroke\" r=\"calc(50% - 1.50px)\" cx=\"50%\" cy=\"50%\" stroke=\"#9f9165\" stroke-width=\"3\" data-progress=\"100\" stroke-dasharray=\"0,10000\"\/>\n                                        <\/svg>\n                                <span class=\"chart-html5-circle tf_w tf_h\">\n                                            <em class=\"module-feature-icon tf_rel\" style=\"color:#3c5164\"><svg  class=\"tf_fa tf-fas-5\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\"><use href=\"#tf-fas-5\" xlink:href=\"#tf-fas-5\"><\/use><\/svg><\/em>\n                                    <\/span>\n\n                \n            <\/span>\n                <\/div>\n    <div class=\"module-feature-content tf_textc\">\n                    <h3 class=\"module-feature-title\">\n                            Asistencia para la correcci\u00f3n                        <\/h3>\n                    <div class=\"tb_text_wrap\">\n            <p>Ayudamos a su equipo a implementar mejoras de seguridad.<\/p>        <\/div>\n    <\/div>\n<\/div>\n<!-- \/module feature -->\n        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column sub_column col3-1 tb_2egu616 last\">\n                            <\/div>\n                    <\/div>\n                <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-css_id=\"60ok100\" data-lazy=\"1\" class=\"module_row themify_builder_row fullwidth tb_60ok100 tf_w\">\n                        <div class=\"row_inner col_align_top tb_col_count_1 tf_box tf_rel\">\n                        <div  data-lazy=\"1\" class=\"module_column tb-column col-full tb_unmi161 first\">\n                    <!-- module template_part -->\n<div  class=\"module module-layout-part tb_dnds104 \">\n    <div class=\"tb_layout_part_wrap tf_w\"><!--themify_builder_content-->\n    <div  class=\"themify_builder_content themify_builder_content-2505 themify_builder not_editable_builder in_the_loop\" data-postid=\"2505\">\n                        <div  data-parallax-bg=\"desktop\" data-css_id=\"c8ui444\" data-lazy=\"1\" class=\"module_row themify_builder_row fullwidth_row_container tb_c8ui444 tf_w\">\n            <span  class=\"builder_row_cover tf_abs\" data-lazy=\"1\"><\/span>            <div class=\"row_inner col_align_middle tb_col_count_2 tf_box tf_rel\">\n                        <div  data-lazy=\"1\" class=\"module_column tb-column col3-2 tb_ewwi552 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_0vkq055   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2>LA HISTORIA Y EL EQUIPO<br>DETR\u00c1S DE ORENDA SECURITY <sup>\u00ae<\/sup><\/h2>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module text -->\n<div  class=\"module module-text tb_tw4e554   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p>Orenda Security <sup>\u00ae<\/sup> es una empresa de seguridad de la informaci\u00f3n de \u00e9lite fundada sobre la base de la integridad y la colaboraci\u00f3n con nuestro personal y, lo que es m\u00e1s importante, con nuestros clientes.<\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module buttons -->\n<div  class=\"module module-buttons tb_vyyi595 buttons-horizontal outline   circle\" data-lazy=\"1\">\n        <div class=\"module-buttons-item tf_in_flx\">\n                        <a href=\"\/about\/\" class=\"ui builder_button tf_in_flx tb_default_color\" >\n                                                SOBRE NOSOTROS                                        <\/a>\n                <\/div>\n            <\/div>\n<!-- \/module buttons -->\n        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col3-1 tb_zftf070 last\">\n                            <\/div>\n                        <\/div>\n        <\/div>\n            <\/div>\n<!--\/themify_builder_content--><\/div>\n<\/div>\n<!-- \/module template_part -->        <\/div>\n                        <\/div>\n        <\/div>\n        <\/div>\n<!--\/themify_builder_content-->","protected":false},"excerpt":{"rendered":"<p>Penetration testing de IA generativa, aprendizaje automatico y modelos de lenguaje grandes (LLM) En el panorama tecnol\u00f3gico actual, en r\u00e1pida evoluci\u00f3n, las organizaciones est\u00e1n adoptando cada vez m\u00e1s la IA generativa, el aprendizaje autom\u00e1tico y los modelos de lenguaje grandes para impulsar la innovaci\u00f3n. Sin embargo, estas potentes herramientas plantean retos de seguridad \u00fanicos que [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-2568","page","type-page","status-publish","hentry","has-post-title","has-post-date","has-post-category","has-post-tag","has-post-comment","has-post-author",""],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Penetration testing para IA generativa, aprendizaje autom\u00e1tico y modelos de lenguaje grandes (LLM) - Orenda Security<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/orendasecurity.com\/es\/penetration-testing-ia\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Penetration testing para IA generativa, aprendizaje autom\u00e1tico y modelos de lenguaje grandes (LLM) - Orenda Security\" \/>\n<meta property=\"og:description\" content=\"Penetration testing de IA generativa, aprendizaje automatico y modelos de lenguaje grandes (LLM) En el panorama tecnol\u00f3gico actual, en r\u00e1pida evoluci\u00f3n, las organizaciones est\u00e1n adoptando cada vez m\u00e1s la IA generativa, el aprendizaje autom\u00e1tico y los modelos de lenguaje grandes para impulsar la innovaci\u00f3n. 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