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3 Ways AI is Affecting the Security Industry

<p style&equals;"text-align&colon; justify&semi;">Artificial Intelligence&comma; or AI&comma; is a branch of computer science with the goal of making machines that have the capability of reasoning&comma; problem-solving&comma; perceiving&comma; learning&comma; planning&comma; and gaining knowledge&comma; among other aspects&period; Ultimately&comma; the objective is to create a machine that can think&comma; learn&comma; and behave like a human&period; Although no machine has been able to effectively pass the Turing test&comma; the branch of computer science has revolutionized the way that businesses use machines to solve complex problems&period; AI has evolved to a point where industry can incorporate its use to improve many aspects of commerce that require adaptation based on data and knowledge&period; One such area is Cybersecurity&period;<&sol;p>&NewLine;<ol style&equals;"text-align&colon; justify&semi;">&NewLine;<li>&NewLine;<h2><b>     Growth and Need<&sol;b><&sol;h2>&NewLine;<&sol;li>&NewLine;<&sol;ol>&NewLine;<p style&equals;"text-align&colon; justify&semi;">Overall&comma; by 2025&comma; the security market will reach a value of &dollar;34&period;81 billion&period; Much of this growth is a direct consequence of the reliance on internet-driven activities and devices&period; Furthermore&comma; the lack of professionals in the area of cybersecurity is leading the industry toward developing more AI-based solutions to account for the demand and lack of supply&period; Much of the industry’s focus is on software&comma; because a large segment of artificial intelligence is dependent on algorithms that handle machine-learning&comma; neural networks&comma; and other concepts&period; For example&comma; back in 2011&comma; a machine developed by IBM called Watson played Jeopardy and won&period; However&comma; the victory was based on years of development and the ability to incorporate complex theory&period; Ultimately&comma; software that used machine-learning took Watson from an advanced knowledge-based searching system to a complex machine that could learn and adapt based on experience&period; This idea of adaptation and learning is now being used in other industries such as cybersecurity&period;<&sol;p>&NewLine;<ol style&equals;"text-align&colon; justify&semi;" start&equals;"2">&NewLine;<li>&NewLine;<h2><b>     Emerging and Developing Concepts<&sol;b><&sol;h2>&NewLine;<&sol;li>&NewLine;<&sol;ol>&NewLine;<p style&equals;"text-align&colon; justify&semi;">Many security experts claim that artificial intelligence&comma; in the cybersecurity industry&comma; is overhyped&period; However&comma; even with the advances and with the successful implementation in other segments of the economy such as health care&comma; the technology is still in its infancy and hasn’t reached its potential&period; Currently&comma; AI is being applied to counterterrorism&comma; data mining and threat scanning&comma; automated cybersecurity&comma; simulation training&comma; and forensics&comma; among others places&period; Industry and government are relying on artificial intelligence to keep their systems safe&period; For example&comma; the Department of Homeland Security &lpar;DHS&rpar; is investing resources for a variety of innovations that help with border security and aviation security&period; As the investment increases&comma; these innovations will continue to improve&comma; thus creating safer systems and protection mechanisms aimed to keep hackers away from mission critical operations and data&period;<&sol;p>&NewLine;<ol style&equals;"text-align&colon; justify&semi;" start&equals;"3">&NewLine;<li>&NewLine;<h2><b>     Implementing Technologies for Cybersecurity<&sol;b><&sol;h2>&NewLine;<&sol;li>&NewLine;<&sol;ol>&NewLine;<p style&equals;"text-align&colon; justify&semi;">The use of AI in the security industry is rising&period; The reason is that the specific benefit of AI-based security systems aligns perfectly with the problems faced by industry&period; These security techniques reduce false positives&comma; improve overall security spaces&comma; and increases the response speed of security personnel when being attacked&period; This provides organizations with the ability to implement enterprise security risk management in an area that is complex and highly vulnerable&period; However&comma; most organizations believe that they are not using their defense mechanisms to their full potential&comma; and this is partly because of a lack of staff with the expertise needed&period; Therefore&comma; companies whose core competencies do not revolve around IT security need to consider outsourcing or hiring expert consultants to help manage security as an alternative&period; As the use of Internet of Things devices and internet-based activities increase&comma; the demand and requirement to protect sensitive systems will continue to grow&period; Businesses that do not adapt to protecting themselves from the increasing threats leave themselves susceptible to public backlash&comma; a loss of reputation&comma; and decreased revenues&period;<&sol;p>&NewLine;

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