{"id":2542,"date":"2024-08-08T22:17:24","date_gmt":"2024-08-08T18:17:24","guid":{"rendered":"http:\/\/www.starlightantra.com\/public\/starlightantra\/?p=2542"},"modified":"2024-08-10T12:49:08","modified_gmt":"2024-08-10T10:49:08","slug":"6706611168188113043","status":"publish","type":"post","link":"https:\/\/www.starlightantra.com\/public\/starlightantra\/2024\/08\/08\/6706611168188113043\/","title":{"rendered":"What&#8217;s Prescriptive Security Cybersecurity Cleansing Industrial Machines"},"content":{"rendered":"<h1>What&#8217;s Prescriptive Security Cybersecurity Cleansing Industrial Machines<\/h1>\n<p>Rather than having enterprise leaders plot out strategies to the last detail, they create somewhat looser, extra basic methods and solicit enter from department heads and staff. This means, staff at numerous levels of the corporate hierarchy can voice their concerns concerning the strategy and counsel different actions. Morgan Chase spending  practically $600 million every year to strengthen its cyber defenses and within the face of \u201ca fixed stream of attacks.\u201d This is not surprising.<\/p>\n<p><!-- more --><\/p>\n<ul>\n<li>Data mining is a process utilized by firms to turn uncooked data into helpful info by using software to look for patterns in giant batches of information.<\/li>\n<li>When prescriptive analytics is carried out successfully, findings can have an actual influence on enterprise technique and choice making to improve issues corresponding to production, buyer experience and business progress.<\/li>\n<li>February 2021 \u2013 ATOS acquired Motiv ICT Security a cybersecurity companies company to expand ATOS\u2019s community of prescriptive security approach.<\/li>\n<li>There is plenty of mathematics, programming, evaluation, and information science that goes into a successful prescriptive analytics program.<\/li>\n<li>CIS\u2019s cybersecurity greatest practices and instruments can help organizations who are working in the path of compliance.<\/li>\n<\/ul>\n<p><a href=\"https:\/\/play-bisonlogowanie.net\">http:\/\/www.play-bisonlogowanie.net<\/a><\/p>\n<p>\u2022 Rules and regulation imposed by the federal government mandating prescriptive requirements for all market gamers is anticipated to restrict the expansion of the market. February 2021 \u2013 ATOS acquired Motiv ICT Security a cybersecurity providers firm to increase ATOS\u2019s community of prescriptive safety method. Asia Pacific is expected to have the quickest development in the market because of cellular workforce enlargement, promoted by the rise adoption of cellular gadgets. Further, SMEs within the region are adopting prescriptive security options to safeguard their sensitive and necessary enterprise knowledge from, misuse prescriptive safety of information, and cyber threats. Countries in Asia Pacific such as Japan, China, and India are broadly adopting encryption applied sciences to protect their information that further helps within the growth of the market.<\/p>\n<p><h2>What&#8217;s Descriptive Analytics?<\/h2>\n<\/p>\n<p>In the introduction, SAMA famous that applying new online services and new developments, such as fintech, and blockchain, require extra regulatory requirements to guard against constantly evolving threats. Meaning, it retains implementing new security measures to nearly eliminate the risk of a successful cyber attack. Originally meant for important infrastructure homeowners and operators, NIST CSF can be used by any organization. Founded in 1945, ISA is a non-profit skilled association that established a Global Security Alliance to work with manufacturers and significant infrastructure suppliers. In this course, we&#8217;ll use information based on floor types (i.e. \u2018spoken\u2019 or \u2018produced\u2019 data) and can try to describe how these surface forms occur through processes in the mental grammar. In June 2017, over 200 million data had been publicly leaked worldwide, placing delicate data at risk and undermining trusted relationships between organisations, citizens, companions and different stakeholders.<\/p>\n<p>SLAs contain figuring out requirements for availability and uptime, problem response\/resolution instances, service high quality, efficiency metrics and other operational ideas. Developed by the Security Services Technical Committee, SAML is an XML-based framework that helps business communications for user authentication, entitlement, and attribute information. Organizations can apply it to human and machine entities, associate companies, or different enterprise functions. Organizations most frequently use SAML for web single-sign-on , attribute-based Understanding Prescriptive Security authorization, and securing web companies. Its CAF offers steering for UK Critical National Infrastructure , organizations subject to the NIS Directive cyber regulation, and organizations managing cyber-related risks to public security. Instead of using the method of analysts\u2019 intuition to implement safety measures, prescriptive security makes use of a different technique.<\/p>\n<p>IBM, NGDATA, River Logic, FICO, and SAS are simply a few of the organizations that offer optimization modeling and optimization solving software program. There is lots of mathematics, programming, evaluation, and data science that goes into a successful prescriptive analytics program. If you don\u2019t have already got certified people on board, you\u2019ll need to think about finding the following types of professionals. For these reasons, the safety requirements in the SSF standards do not map on to PCI DSS necessities like the PA-DSS necessities do. On the one hand, in \u201cprinciples-based\u201d regulation businesses set up broad however well-articulated principles that a business is expected to comply with. When prescriptive analytics is carried out successfully, findings can have a real impact on enterprise strategy and determination making to improve issues similar to manufacturing, customer expertise and business development.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"306px\" alt=\"PlayBison logowanie\"\/><\/p>\n<p>While an emergent technique develops in the absence of or in opposition to a defined mission statement and targets, a prescriptive technique is built around a company\u2019s targets and mission. For instance, a rehabilitation heart that takes a holistic strategy to patient progress would possibly consciously employ a similarly holistic administration strategy for its employees. A service degree settlement is a confirmed method for establishing expectations for preparations between a service provider and a customer.<\/p>\n<p><h3>Prescriptive Analytics In Advertising<\/h3>\n<\/p>\n<p>CIS\u2019s cybersecurity greatest practices and tools can help organizations who&#8217;re working in the direction of compliance. It places well being care data in context to judge the cost-effectiveness of various procedures and treatments and to judge official scientific strategies. A business must replace the legal professional common if all this info is unknown on the time of the breach.<\/p>\n<p>Your assault floor is represented by the entire points in your network the place an adversary can attempt to achieve entry to your information methods. By maintaining track of this data, you may be more easily capable of establish know-how gaps and refresh cycles. It\u2019s a safety philosophy that attempts to predetermine safety controls and procedures based on the inputs of dangers.<\/p>\n<p>Suppose you&#8217;re the chief govt officer of an airline and also you need to maximize your company\u2019s earnings. The potential of AI to transform enterprise efficiency is just now beginning to be more extensively understood in Financial Services. Each entry features a hyperlink to the complete textual content of the law or regulation as properly as information about what and who is covered. We are in a multi-framework era the place organizations giant and small, public and private, are tasked with complying with multiple cybersecurity coverage, regulatory and legal frameworks . Our Atlas platform maps controls throughout varied standards so that clients have visibility into their compliance posture. The prompt turnaround of data analysis and consequence prediction lets your staff spend less time finding issues and more time designing the right  solutions.<\/p>\n<p>In the previous, security was about looking for a needle in a haystack, where the needle was an isolated intrusion. The Framework is designed to enhance, not exchange, an organization\u2019s cybersecurity program and danger administration processes. Descriptive analytics refers to a process whereby historic data is interpreted to understand changes in business operations. Descriptive analytics can be a helpful enterprise resolution when used along side other varieties, similar to prescriptive analytics. Organizations that use it could acquire a better understanding of the chance of worst-case eventualities and plan accordingly. Part of this total means of getting started with prescriptive analytics might be figuring out what kind of software program you need to use to conduct your prescriptive analyses.<\/p>\n<p><h3>What&#8217;s Predictive Analytics? An Enterprise Information<\/h3>\n<\/p>\n<p>Artificial intelligence can curate and process knowledge higher than your staff of data engineers and in a fraction of the time. Data mining is a course of utilized by companies to turn raw knowledge into helpful information through the use of software program to search for patterns in giant batches of data. It\u2019s a type of threat intelligence safety that goals to determine security measures and protocols relying on the inputs of dangers. The concept of the approach is to maintain up with potential risks to implement essential controls that won\u2019t enable injury to the protected system.<\/p>\n<p>Prescriptive analytics not solely allows you to make sense of raw knowledge but in addition allows you to determine the actions to take now. It leverages machine learning, simulations, mathematical formulae and optimisation and information modelling methods to assist enterprise leaders make better-informed selections that are data-driven. It is the final stage in understanding your business and offers you a thorough understanding of the surroundings to enhance enterprise efficiency.<\/p>\n<p>Using SecurityScorecard, organizations can align their security controls with our ten categories of risk. Since Atlas maps to over 20 industry-standards, organizations can create a holistic, automated compliance program and remove the human error threat that comes from using spreadsheets. Understanding the Mintzberg emergent strategy may help a enterprise leader understand the prescriptive technique higher as a end result of it offers a transparent contrast.<\/p>\n<p>It\u2019s totally possible to stop after getting an accurate image of the present and what led up to it, however most organizations could be short-sighted in the event that they stopped at that time. Sticking only to descriptive analysis leaves the lengthy run a mass of uncertainty that is more likely to surprise\u2013and not in a good way. Instead of simply predicting what is going to happen, prescriptive analysis tweaks certain variables to attain the very best end result, after which prescribes that plan of action. Technology has given us the ability to forecast enterprise tendencies and predict success in ways the enterprise leaders of yesterday couldn\u2019t fathom. In the previous, successful companies needed to depend on small sample sizes, easy questionnaires, and different ways of gathering of knowledge to foretell common tendencies, however not anymore.<\/p>\n<p>Research by the Boston Consulting Group has found banks and financial institutions are 300 instances extra susceptible to cyber-attack than companies in other sectors. PCI SSC recommends that software program distributors with eligible fee software merchandise have each their software program development lifecycle practices and payment software validated to the respective SSF requirements. Validating to both requirements not solely demonstrates that a vendor\u2019s payment software program is secure upon validation, but in addition demonstrates greater assurance that the software program will stay secure throughout its lifetime. Understanding the similarities and variations across the highest 25 safety frameworks may help you create a more sturdy cybersecurity compliance program. Osian is answerable for the design and construct of Cybersecurity controls within the UK managing a team of architects and subject matter specialists.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Rather than having enterprise leaders plot out strategies to the last detail, they create somewhat looser, extra basic methods and solicit enter from department heads and staff. This means, staff at numerous levels of the corporate hierarchy can voice their concerns concerning the strategy and counsel different actions. Morgan Chase spending  practically $600 million every year to strengthen its cyber defenses and within the face of \u201ca fixed stream of attacks.\u201d This is not surprising.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"_links":{"self":[{"href":"https:\/\/www.starlightantra.com\/public\/starlightantra\/wp-json\/wp\/v2\/posts\/2542"}],"collection":[{"href":"https:\/\/www.starlightantra.com\/public\/starlightantra\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.starlightantra.com\/public\/starlightantra\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.starlightantra.com\/public\/starlightantra\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.starlightantra.com\/public\/starlightantra\/wp-json\/wp\/v2\/comments?post=2542"}],"version-history":[{"count":1,"href":"https:\/\/www.starlightantra.com\/public\/starlightantra\/wp-json\/wp\/v2\/posts\/2542\/revisions"}],"predecessor-version":[{"id":2543,"href":"https:\/\/www.starlightantra.com\/public\/starlightantra\/wp-json\/wp\/v2\/posts\/2542\/revisions\/2543"}],"wp:attachment":[{"href":"https:\/\/www.starlightantra.com\/public\/starlightantra\/wp-json\/wp\/v2\/media?parent=2542"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.starlightantra.com\/public\/starlightantra\/wp-json\/wp\/v2\/categories?post=2542"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.starlightantra.com\/public\/starlightantra\/wp-json\/wp\/v2\/tags?post=2542"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}