{"id":5581,"date":"2025-06-06T10:55:51","date_gmt":"2025-06-06T10:55:51","guid":{"rendered":"https:\/\/kastel-labs.de\/?page_id=5581"},"modified":"2025-09-23T07:41:36","modified_gmt":"2025-09-23T07:41:36","slug":"videos","status":"publish","type":"page","link":"https:\/\/kastel-labs.de\/videos\/","title":{"rendered":"Videos"},"content":{"rendered":"<section\n  data-category=\"block\"\n  data-component=\"b-content\"\n  class=\"h-pt-0 none h-pb-xl none\"\n>\n  <div class=\"m-content m-content--left\">\n  <div class=\"container\">\n    <div class=\"row\">\n                                  <div class=\" col-12 col-lg-6 col-xl-5\">\n        <div class='m-content__wrapper s-base s-base--default'>\n          <h3>Get some impressions of our research by watching the demonstrator videos.<\/h3>\n\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n<\/div>\n<\/section>\n\n\n<section\n  data-category=\"block\"\n  data-component=\"b-headline-w-content\"\n  class=\"h-pt-0 none h-pb-xl none\"\n>\n  <div class=\"container\">\n  <div class=\"row\">\n  \n    <headline class=\"col-12 h-pb-sm col-sm-5 col-lg-6 col-xl-5\">\n              \n<h3 class='a-h3 '>\n  <h1 class=\"waypoint-triggered\">Quantitative Analyses of 4Crypt \u2013 Privacy-Preserving Documentation for Assembly Assistance Systems<\/h1>\n\n<\/h3>\n          <\/headline>\n\n    <div class=\"col-12 col-sm-7 col-lg-6 col-xl-5 offset-xl-2\">\n              <div class=\"h-content-wlh s-base\">\n          <span class=\"h-line-h\"><\/span>\n          <p>We present a privacy-friendly and trustworthy interactive assembly table as a showcase for our methodological results with respect to quantification. It uses cameras and AI to provide support during assembly tasks. The video feed can also be recorded for later analysis of critical work steps. While this is useful for quality control, it also entails a major privacy concern, as workers may be subjected to unfounded video surveillance by their employer. We quantify the privacy-related technical mechanisms of 4Crypt with respect to their security as well as their effect on workers.<\/p>\n\n        <\/div>\n          <\/div>\n  <\/div>\n<\/div>\n<\/section>\n\n\n<section\n  data-category=\"block\"\n  data-component=\"b-video\"\n  class=\"h-pt-0 none h-pb-xl none\"\n>\n  <div class=\"o-video\">\n  <div class=\"container\">\n    <div class=\"row\">\n      <div class=\"o-video__col col-12 col-xl-10 offset-xl-1\">\n        <button class=\"o-video__wrapper js-video__bt\" aria-label=\"Play\" data-src=\"https:\/\/kastel-labs.de\/wp-content\/uploads\/2025\/09\/UT_kit_x_kastel_-_research_group_for_quantifying_security_q1_v6_subtitles-720p.mp4\">\n          \n<picture class=\"a-image \" data-type=\"png\">\n  <div class=\"a-image__w\">\n    \n                            <source srcset=\"https:\/\/kastel-labs.de\/wp-content\/uploads\/2025\/09\/vlcsnap-2025-09-23-09h21m11s997-712x712.png\" width=\"712\" height=\"712\" media=\"(max-width: 712px)\" >\n                                <source srcset=\"https:\/\/kastel-labs.de\/wp-content\/uploads\/2025\/09\/vlcsnap-2025-09-23-09h21m11s997-960x670.png\" width=\"960\" height=\"670\" media=\"(max-width: 960px)\" >\n                                <source srcset=\"https:\/\/kastel-labs.de\/wp-content\/uploads\/2025\/09\/vlcsnap-2025-09-23-09h21m11s997-1280x865.png\" width=\"1280\" height=\"865\" media=\"(max-width: 1280px)\" >\n                  \n    <img loading=\"lazy\" decoding=\"async\" class=\"a-image__tag\" src=\"https:\/\/kastel-labs.de\/wp-content\/uploads\/2025\/09\/vlcsnap-2025-09-23-09h21m11s997.png\" alt=\"\" width=\"1920\" height=\"1080\"   data-start=\"top bottom\" data-end=\"bottom top\" data-swiper-parallax=\"0\">\n  <\/div>\n<\/picture>\n\n          <span class='o-video__icon'>\n            <span class=\"o-video__icon-bg\"><\/span>\n            \n<svg class='a-icon a-icon--chevron'><use xlink:href='#icon-chevron'><\/use><\/svg>\n          <\/span>\n\n        <\/button>\n      <\/div>\n    <\/div>\n  <\/div>\n<\/div>\n<\/section>\n\n\n<section\n  data-category=\"block\"\n  data-component=\"b-headline-w-content\"\n  class=\"h-pt-0 none h-pb-xl none\"\n>\n  <div class=\"container\">\n  <div class=\"row\">\n  \n    <headline class=\"col-12 h-pb-sm col-sm-5 col-lg-6 col-xl-5\">\n              \n<h3 class='a-h3 '>\n  <h1 class=\"waypoint-triggered\"><strong>Methods for Privacy-Preserving and Fair Ticketing for Europe-Scale Mobility-as-a-Service<\/strong><\/h1>\n<p>&nbsp;<\/p>\n\n<\/h3>\n          <\/headline>\n\n    <div class=\"col-12 col-sm-7 col-lg-6 col-xl-5 offset-xl-2\">\n              <div class=\"h-content-wlh s-base\">\n          <span class=\"h-line-h\"><\/span>\n          <p><span lang=\"EN-US\"><span>This demonstrator showcases three different methods to realize key functionalities of a multi-provider check-in\/out transportation system such as billing, clearance, payments, and further data analytics in a privacy-preserving and scalable way. Our distributed architecture based on trusted execution environments can handle the check-in\/out volume of a Europe-scale system even under server dropouts. Our architecture based on secure multi-party computation shows that very strong privacy guarantees for a city-scale system are achievable. With our payment channel network-based protocol, we demonstrate how instantaneous payment and clearing with formally verifiable security can be realized.<\/span><\/span><\/p>\n\n        <\/div>\n          <\/div>\n  <\/div>\n<\/div>\n<\/section>\n\n\n<section\n  data-category=\"block\"\n  data-component=\"b-video\"\n  class=\"h-pt-0 none h-pb-xl none\"\n>\n  <div class=\"o-video\">\n  <div class=\"container\">\n    <div class=\"row\">\n      <div class=\"o-video__col col-12 col-xl-10 offset-xl-1\">\n        <button class=\"o-video__wrapper js-video__bt\" aria-label=\"Play\" data-src=\"https:\/\/kastel-labs.de\/wp-content\/uploads\/2025\/06\/UT_kit_kastel_research_group_for_secure_computation_and_communication_c1_v6_v1-720p.mp4\">\n          \n<picture class=\"a-image \" data-type=\"png\">\n  <div class=\"a-image__w\">\n    \n                            <source srcset=\"https:\/\/kastel-labs.de\/wp-content\/uploads\/2025\/06\/vlcsnap-2025-06-17-12h09m54s793-712x712.png\" width=\"712\" height=\"712\" media=\"(max-width: 712px)\" >\n                                <source srcset=\"https:\/\/kastel-labs.de\/wp-content\/uploads\/2025\/06\/vlcsnap-2025-06-17-12h09m54s793-960x670.png\" width=\"960\" height=\"670\" media=\"(max-width: 960px)\" >\n                                <source srcset=\"https:\/\/kastel-labs.de\/wp-content\/uploads\/2025\/06\/vlcsnap-2025-06-17-12h09m54s793.png\" width=\"1280\" height=\"720\" media=\"(max-width: 1280px)\" >\n                  \n    <img loading=\"lazy\" decoding=\"async\" class=\"a-image__tag\" src=\"https:\/\/kastel-labs.de\/wp-content\/uploads\/2025\/06\/vlcsnap-2025-06-17-12h09m54s793.png\" alt=\"\" width=\"1280\" height=\"720\"   data-start=\"top bottom\" data-end=\"bottom top\" data-swiper-parallax=\"0\">\n  <\/div>\n<\/picture>\n\n          <span class='o-video__icon'>\n            <span class=\"o-video__icon-bg\"><\/span>\n            \n<svg class='a-icon a-icon--chevron'><use xlink:href='#icon-chevron'><\/use><\/svg>\n          <\/span>\n\n        <\/button>\n      <\/div>\n    <\/div>\n  <\/div>\n<\/div>\n<\/section>\n\n\n<section\n  data-category=\"block\"\n  data-component=\"b-headline-w-content\"\n  class=\"h-pt-0 none h-pb-xl none\"\n>\n  <div class=\"container\">\n  <div class=\"row\">\n  \n    <headline class=\"col-12 h-pb-sm col-sm-5 col-lg-6 col-xl-5\">\n              \n<h3 class='a-h3 '>\n  <h1 class=\"waypoint-triggered\">Analysis of Everest Modular Framework for EV-Charging<\/h1>\n\n<\/h3>\n          <\/headline>\n\n    <div class=\"col-12 col-sm-7 col-lg-6 col-xl-5 offset-xl-2\">\n              <div class=\"h-content-wlh s-base\">\n          <span class=\"h-line-h\"><\/span>\n          <p>Continuous analysis of software system requirements, design, and implementation is important to detect vulnerabilities in EV charging units to ensure security.<\/p>\n\n        <\/div>\n          <\/div>\n  <\/div>\n<\/div>\n<\/section>\n\n\n<section\n  data-category=\"block\"\n  data-component=\"b-video\"\n  class=\"h-pt-0 none h-pb-xl none\"\n>\n  <div class=\"o-video\">\n  <div class=\"container\">\n    <div class=\"row\">\n      <div class=\"o-video__col col-12 col-xl-10 offset-xl-1\">\n        <button class=\"o-video__wrapper js-video__bt\" aria-label=\"Play\" data-src=\"https:\/\/kastel-labs.de\/wp-content\/uploads\/2025\/06\/UT_kit_kastel_research_group_for_secure_computation_and_communication_c2_v5_v1-720p.mp4\">\n          \n<picture class=\"a-image \" data-type=\"png\">\n  <div class=\"a-image__w\">\n    \n                            <source srcset=\"https:\/\/kastel-labs.de\/wp-content\/uploads\/2025\/06\/vlcsnap-2025-06-06-10h58m00s306-712x712.png\" width=\"712\" height=\"712\" media=\"(max-width: 712px)\" >\n                                <source srcset=\"https:\/\/kastel-labs.de\/wp-content\/uploads\/2025\/06\/vlcsnap-2025-06-06-10h58m00s306-960x670.png\" width=\"960\" height=\"670\" media=\"(max-width: 960px)\" >\n                                <source srcset=\"https:\/\/kastel-labs.de\/wp-content\/uploads\/2025\/06\/vlcsnap-2025-06-06-10h58m00s306.png\" width=\"1280\" height=\"720\" media=\"(max-width: 1280px)\" >\n                  \n    <img loading=\"lazy\" decoding=\"async\" class=\"a-image__tag\" src=\"https:\/\/kastel-labs.de\/wp-content\/uploads\/2025\/06\/vlcsnap-2025-06-06-10h58m00s306.png\" alt=\"\" width=\"1280\" height=\"720\"   data-start=\"top bottom\" data-end=\"bottom top\" data-swiper-parallax=\"0\">\n  <\/div>\n<\/picture>\n\n          <span class='o-video__icon'>\n            <span class=\"o-video__icon-bg\"><\/span>\n            \n<svg class='a-icon a-icon--chevron'><use xlink:href='#icon-chevron'><\/use><\/svg>\n          <\/span>\n\n        <\/button>\n      <\/div>\n    <\/div>\n  <\/div>\n<\/div>\n<\/section>\n\n\n<section\n  data-category=\"block\"\n  data-component=\"b-headline-w-content\"\n  class=\"h-pt-0 none h-pb-xl none\"\n>\n  <div class=\"container\">\n  <div class=\"row\">\n  \n    <headline class=\"col-12 h-pb-sm col-sm-5 col-lg-6 col-xl-5\">\n              \n<h3 class='a-h3 '>\n  <h1 class=\"waypoint-triggered\">NoPhish Concept and Awareness Measures<\/h1>\n\n<\/h3>\n          <\/headline>\n\n    <div class=\"col-12 col-sm-7 col-lg-6 col-xl-5 offset-xl-2\">\n              <div class=\"h-content-wlh s-base\">\n          <span class=\"h-line-h\"><\/span>\n          <p><span dir=\"ltr\" lang=\"EN-US\"><span>The \u201cNoPhish Concept and Awareness Measures\u201d demonstrator provides background information about the Human and Societal Research Group and their applied research methods. It showcases four developed anti-phishing awareness measures: the NoPhish videos, two serious games for different target audiences, and the Security Teaching &amp; Awareness Robot (STAR). Additionally, the demonstrator highlights the implementation of the NoPhish concept and its measures within the scientific community, organizations, and by end-users. Notably, 11 federal institutions, including the BSI, and 29 research institutions have adopted and\/or recommended the NoPhish measures, and the videos have garnered over 30,000 views on YouTube.<\/span><\/span><\/p>\n\n        <\/div>\n          <\/div>\n  <\/div>\n<\/div>\n<\/section>\n\n\n<section\n  data-category=\"block\"\n  data-component=\"b-video\"\n  class=\"h-pt-0 none h-pb-xl none\"\n>\n  <div class=\"o-video\">\n  <div class=\"container\">\n    <div class=\"row\">\n      <div class=\"o-video__col col-12 col-xl-10 offset-xl-1\">\n        <button class=\"o-video__wrapper js-video__bt\" aria-label=\"Play\" data-src=\"https:\/\/kastel-labs.de\/wp-content\/uploads\/2025\/06\/UT_kit_x_kastel_-_research_group_for_human_and_societal_factors_h1_v4.mp4-005_v1-720p.mp4\">\n          \n<picture class=\"a-image \" data-type=\"png\">\n  <div class=\"a-image__w\">\n    \n                            <source srcset=\"https:\/\/kastel-labs.de\/wp-content\/uploads\/2025\/06\/vlcsnap-2025-06-06-11h14m36s042-712x712.png\" width=\"712\" height=\"712\" media=\"(max-width: 712px)\" >\n                                <source srcset=\"https:\/\/kastel-labs.de\/wp-content\/uploads\/2025\/06\/vlcsnap-2025-06-06-11h14m36s042-960x670.png\" width=\"960\" height=\"670\" media=\"(max-width: 960px)\" >\n                                <source srcset=\"https:\/\/kastel-labs.de\/wp-content\/uploads\/2025\/06\/vlcsnap-2025-06-06-11h14m36s042.png\" width=\"1280\" height=\"720\" media=\"(max-width: 1280px)\" >\n                  \n    <img loading=\"lazy\" decoding=\"async\" class=\"a-image__tag\" src=\"https:\/\/kastel-labs.de\/wp-content\/uploads\/2025\/06\/vlcsnap-2025-06-06-11h14m36s042.png\" alt=\"\" width=\"1280\" height=\"720\"   data-start=\"top bottom\" data-end=\"bottom top\" data-swiper-parallax=\"0\">\n  <\/div>\n<\/picture>\n\n          <span class='o-video__icon'>\n            <span class=\"o-video__icon-bg\"><\/span>\n            \n<svg class='a-icon a-icon--chevron'><use xlink:href='#icon-chevron'><\/use><\/svg>\n          <\/span>\n\n        <\/button>\n      <\/div>\n    <\/div>\n  <\/div>\n<\/div>\n<\/section>\n\n\n<section\n  data-category=\"block\"\n  data-component=\"b-headline-w-content\"\n  class=\"h-pt-0 none h-pb-xl none\"\n>\n  <div class=\"container\">\n  <div class=\"row\">\n  \n    <headline class=\"col-12 h-pb-sm col-sm-5 col-lg-6 col-xl-5\">\n              \n<h3 class='a-h3 '>\n  <h1 class=\"waypoint-triggered\">FENCE: Future ENergy Cybersecurity Evaluator<\/h1>\n\n<\/h3>\n          <\/headline>\n\n    <div class=\"col-12 col-sm-7 col-lg-6 col-xl-5 offset-xl-2\">\n              <div class=\"h-content-wlh s-base\">\n          <span class=\"h-line-h\"><\/span>\n          <p><span dir=\"ltr\" lang=\"EN-US\"><span>FENCE is a cybersecurity research platform bridging theoretical methods and practical security implementations within the energy sector. Built upon a realistic infrastructure at KIT\u2018s Campus North \u2013 the KASTEL Security Lab Energy \u2013 it comprises several subsystems modeling renewable energy plants, multi-vendor digital substations, software-defined network setups, and PLC-based power plant simulations. We demonstrate a multi-stage cyber-attacks exploiting vulnerabilities in the Siemens S7 protocol, widely used in industrial control systems of power plants. FENCE facilitates a thorough analysis of vulnerabilities, supports research in intrusion detection, and enables effective mitigation strategies and systematic risk assessment. It specifically targets critical cybersecurity challenges within energy systems and presents our research findings through an intuitive web interface for enhanced accessibility and usability.<\/span><\/span><\/p>\n\n        <\/div>\n          <\/div>\n  <\/div>\n<\/div>\n<\/section>\n\n\n<section\n  data-category=\"block\"\n  data-component=\"b-video\"\n  class=\"h-pt-0 none h-pb-xl none\"\n>\n  <div class=\"o-video\">\n  <div class=\"container\">\n    <div class=\"row\">\n      <div class=\"o-video__col col-12 col-xl-10 offset-xl-1\">\n        <button class=\"o-video__wrapper js-video__bt\" aria-label=\"Play\" data-src=\"https:\/\/kastel-labs.de\/wp-content\/uploads\/2025\/06\/UT_kit_kastel_security_lab_for_energy_systems_e1_v4-001_v1-720p.mp4\">\n          \n<picture class=\"a-image \" data-type=\"png\">\n  <div class=\"a-image__w\">\n    \n                            <source srcset=\"https:\/\/kastel-labs.de\/wp-content\/uploads\/2025\/06\/vlcsnap-2025-06-06-11h21m24s361-712x712.png\" width=\"712\" height=\"712\" media=\"(max-width: 712px)\" >\n                                <source srcset=\"https:\/\/kastel-labs.de\/wp-content\/uploads\/2025\/06\/vlcsnap-2025-06-06-11h21m24s361-960x670.png\" width=\"960\" height=\"670\" media=\"(max-width: 960px)\" >\n                                <source srcset=\"https:\/\/kastel-labs.de\/wp-content\/uploads\/2025\/06\/vlcsnap-2025-06-06-11h21m24s361.png\" width=\"1280\" height=\"720\" media=\"(max-width: 1280px)\" >\n                  \n    <img loading=\"lazy\" decoding=\"async\" class=\"a-image__tag\" src=\"https:\/\/kastel-labs.de\/wp-content\/uploads\/2025\/06\/vlcsnap-2025-06-06-11h21m24s361.png\" alt=\"\" width=\"1280\" height=\"720\"   data-start=\"top bottom\" data-end=\"bottom top\" data-swiper-parallax=\"0\">\n  <\/div>\n<\/picture>\n\n          <span class='o-video__icon'>\n            <span class=\"o-video__icon-bg\"><\/span>\n            \n<svg class='a-icon a-icon--chevron'><use xlink:href='#icon-chevron'><\/use><\/svg>\n          <\/span>\n\n        <\/button>\n      <\/div>\n    <\/div>\n  <\/div>\n<\/div>\n<\/section>\n\n\n<section\n  data-category=\"block\"\n  data-component=\"b-headline-w-content\"\n  class=\"h-pt-0 none h-pb-xl none\"\n>\n  <div class=\"container\">\n  <div class=\"row\">\n  \n    <headline class=\"col-12 h-pb-sm col-sm-5 col-lg-6 col-xl-5\">\n              \n<h3 class='a-h3 '>\n  <h1 class=\"waypoint-triggered\">Attacks on Traffic Light Recognition<\/h1>\n\n<\/h3>\n          <\/headline>\n\n    <div class=\"col-12 col-sm-7 col-lg-6 col-xl-5 offset-xl-2\">\n              <div class=\"h-content-wlh s-base\">\n          <span class=\"h-line-h\"><\/span>\n          <p>\u201cAttacks on Traffic Light Recognition\u201d demonstrates practical real-world attacks against neural networks in autonomous driving (AD). By exploiting backdoor and inference time attacks, an adversary can manipulate the perception module\u2019s predictions, resulting in hazardous actions \u2013 such as running red lights. While such attacks were previously demonstrated using offline datasets, we are the first to effectively compromise a full-fledged autonomous vehicle in real-world conditions. Our research demonstrates that attacks against camera-based perception in AD are practical. To mitigate these threats, we explore the security of XAI-based defenses and propose anti-backdoor learning techniques.<\/p>\n\n        <\/div>\n          <\/div>\n  <\/div>\n<\/div>\n<\/section>\n\n\n<section\n  data-category=\"block\"\n  data-component=\"b-video\"\n  class=\"h-pt-0 none h-pb-xl none\"\n>\n  <div class=\"o-video\">\n  <div class=\"container\">\n    <div class=\"row\">\n      <div class=\"o-video__col col-12 col-xl-10 offset-xl-1\">\n        <button class=\"o-video__wrapper js-video__bt\" aria-label=\"Play\" data-src=\"https:\/\/kastel-labs.de\/wp-content\/uploads\/2025\/06\/UT_kit_x_kastel_-_security_lab_for_mobility_systems_m1_v3.mp4-004_v1-720p.mp4\">\n          \n<picture class=\"a-image \" data-type=\"png\">\n  <div class=\"a-image__w\">\n    \n                            <source srcset=\"https:\/\/kastel-labs.de\/wp-content\/uploads\/2025\/06\/vlcsnap-2025-06-06-11h49m29s030-712x712.png\" width=\"712\" height=\"712\" media=\"(max-width: 712px)\" >\n                                <source srcset=\"https:\/\/kastel-labs.de\/wp-content\/uploads\/2025\/06\/vlcsnap-2025-06-06-11h49m29s030-960x670.png\" width=\"960\" height=\"670\" media=\"(max-width: 960px)\" >\n                                <source srcset=\"https:\/\/kastel-labs.de\/wp-content\/uploads\/2025\/06\/vlcsnap-2025-06-06-11h49m29s030.png\" width=\"1280\" height=\"720\" media=\"(max-width: 1280px)\" >\n                  \n    <img loading=\"lazy\" decoding=\"async\" class=\"a-image__tag\" src=\"https:\/\/kastel-labs.de\/wp-content\/uploads\/2025\/06\/vlcsnap-2025-06-06-11h49m29s030.png\" alt=\"\" width=\"1280\" height=\"720\"   data-start=\"top bottom\" data-end=\"bottom top\" data-swiper-parallax=\"0\">\n  <\/div>\n<\/picture>\n\n          <span class='o-video__icon'>\n            <span class=\"o-video__icon-bg\"><\/span>\n            \n<svg class='a-icon a-icon--chevron'><use xlink:href='#icon-chevron'><\/use><\/svg>\n          <\/span>\n\n        <\/button>\n      <\/div>\n    <\/div>\n  <\/div>\n<\/div>\n<\/section>\n\n\n<section\n  data-category=\"block\"\n  data-component=\"b-headline-w-content\"\n  class=\"h-pt-0 none h-pb-xl none\"\n>\n  <div class=\"container\">\n  <div class=\"row\">\n  \n    <headline class=\"col-12 h-pb-sm col-sm-5 col-lg-6 col-xl-5\">\n              \n<h3 class='a-h3 '>\n  <h1 class=\"waypoint-triggered\">Privacy Risks of Smart City Sensors<\/h1>\n\n<\/h3>\n          <\/headline>\n\n    <div class=\"col-12 col-sm-7 col-lg-6 col-xl-5 offset-xl-2\">\n              <div class=\"h-content-wlh s-base\">\n          <span class=\"h-line-h\"><\/span>\n          <p>The demonstrator visualizes proposed smart city sensors such as thermal and depth cameras, lidar and radar in real-time and thus highlights their privacy risks.<\/p>\n\n        <\/div>\n          <\/div>\n  <\/div>\n<\/div>\n<\/section>\n\n\n<section\n  data-category=\"block\"\n  data-component=\"b-video\"\n  class=\"h-pt-0 none h-pb-xl none\"\n>\n  <div class=\"o-video\">\n  <div class=\"container\">\n    <div class=\"row\">\n      <div class=\"o-video__col col-12 col-xl-10 offset-xl-1\">\n        <button class=\"o-video__wrapper js-video__bt\" aria-label=\"Play\" data-src=\"https:\/\/kastel-labs.de\/wp-content\/uploads\/2025\/06\/UT_kit_x_kastel_-_security_lab_for_mobility_systems_m2_v5.mp4_v1-720p.mp4\">\n          \n<picture class=\"a-image \" data-type=\"png\">\n  <div class=\"a-image__w\">\n    \n                            <source srcset=\"https:\/\/kastel-labs.de\/wp-content\/uploads\/2025\/06\/vlcsnap-2025-06-06-12h06m38s850-712x712.png\" width=\"712\" height=\"712\" media=\"(max-width: 712px)\" >\n                                <source srcset=\"https:\/\/kastel-labs.de\/wp-content\/uploads\/2025\/06\/vlcsnap-2025-06-06-12h06m38s850-960x670.png\" width=\"960\" height=\"670\" media=\"(max-width: 960px)\" >\n                                <source srcset=\"https:\/\/kastel-labs.de\/wp-content\/uploads\/2025\/06\/vlcsnap-2025-06-06-12h06m38s850.png\" width=\"1280\" height=\"720\" media=\"(max-width: 1280px)\" >\n                  \n    <img loading=\"lazy\" decoding=\"async\" class=\"a-image__tag\" src=\"https:\/\/kastel-labs.de\/wp-content\/uploads\/2025\/06\/vlcsnap-2025-06-06-12h06m38s850.png\" alt=\"\" width=\"1280\" height=\"720\"   data-start=\"top bottom\" data-end=\"bottom top\" data-swiper-parallax=\"0\">\n  <\/div>\n<\/picture>\n\n          <span class='o-video__icon'>\n            <span class=\"o-video__icon-bg\"><\/span>\n            \n<svg class='a-icon a-icon--chevron'><use xlink:href='#icon-chevron'><\/use><\/svg>\n          <\/span>\n\n        <\/button>\n      <\/div>\n    <\/div>\n  <\/div>\n<\/div>\n<\/section>\n\n\n<section\n  data-category=\"block\"\n  data-component=\"b-headline-w-content\"\n  class=\"h-pt-0 none h-pb-xl none\"\n>\n  <div class=\"container\">\n  <div class=\"row\">\n  \n    <headline class=\"col-12 h-pb-sm col-sm-5 col-lg-6 col-xl-5\">\n              \n<h3 class='a-h3 '>\n  <h1 class=\"waypoint-triggered\">Continuous Automated Risk Management (CARM) System for Industrial Networks<\/h1>\n\n<\/h3>\n          <\/headline>\n\n    <div class=\"col-12 col-sm-7 col-lg-6 col-xl-5 offset-xl-2\">\n              <div class=\"h-content-wlh s-base\">\n          <span class=\"h-line-h\"><\/span>\n          <p><span lang=\"EN-US\"><span>Continuous Automated Risk Management (CARM) is a non-intrusive industrial network security monitoring framework designed to assist Asset Owners of operational industrial systems in managing risks and developing the IEC 62443-mandated security architecture. CARM automates system information collection, assesses security posture, and measures descriptive security metrics using machine learning and graph theory-based analyses. It also helps select the optimal set of technical countermeasures while considering constraints such as budget limitations.<\/span><\/span><\/p>\n\n        <\/div>\n          <\/div>\n  <\/div>\n<\/div>\n<\/section>\n\n\n<section\n  data-category=\"block\"\n  data-component=\"b-video\"\n  class=\"h-pt-0 none h-pb-xl none\"\n>\n  <div class=\"o-video\">\n  <div class=\"container\">\n    <div class=\"row\">\n      <div class=\"o-video__col col-12 col-xl-10 offset-xl-1\">\n        <button class=\"o-video__wrapper js-video__bt\" aria-label=\"Play\" data-src=\"https:\/\/kastel-labs.de\/wp-content\/uploads\/2025\/06\/UT_kit_x_kastel_-_security_lab_for_production_systems_p1_v5.mp4_v1-720p.mp4\">\n          \n<picture class=\"a-image \" data-type=\"png\">\n  <div class=\"a-image__w\">\n    \n                            <source srcset=\"https:\/\/kastel-labs.de\/wp-content\/uploads\/2025\/06\/vlcsnap-2025-06-06-12h14m30s775-712x712.png\" width=\"712\" height=\"712\" media=\"(max-width: 712px)\" >\n                                <source srcset=\"https:\/\/kastel-labs.de\/wp-content\/uploads\/2025\/06\/vlcsnap-2025-06-06-12h14m30s775-960x670.png\" width=\"960\" height=\"670\" media=\"(max-width: 960px)\" >\n                                <source srcset=\"https:\/\/kastel-labs.de\/wp-content\/uploads\/2025\/06\/vlcsnap-2025-06-06-12h14m30s775.png\" width=\"1280\" height=\"720\" media=\"(max-width: 1280px)\" >\n                  \n    <img loading=\"lazy\" decoding=\"async\" class=\"a-image__tag\" src=\"https:\/\/kastel-labs.de\/wp-content\/uploads\/2025\/06\/vlcsnap-2025-06-06-12h14m30s775.png\" alt=\"\" width=\"1280\" height=\"720\"   data-start=\"top bottom\" data-end=\"bottom top\" data-swiper-parallax=\"0\">\n  <\/div>\n<\/picture>\n\n          <span class='o-video__icon'>\n            <span class=\"o-video__icon-bg\"><\/span>\n            \n<svg class='a-icon a-icon--chevron'><use xlink:href='#icon-chevron'><\/use><\/svg>\n          <\/span>\n\n        <\/button>\n      <\/div>\n    <\/div>\n  <\/div>\n<\/div>\n<\/section>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-5581","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.9 - 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