Artificial Intelligence, a new chapter for Cybersecurity? –

Artificial Intelligence (AI) is a trending topic for many industries now. A variety of organizations currently employ AI mechanisms to support their operational functions. Automated tasks, natural language processing, deep learning, and problem-solving; such AI characteristics have made business tasks much easier. The factor of security in AI is largely overlooked, and with the increasing number of cyber threats and attacks, AI security serves as a crucial element that should be paid attention to. Security in AI falls into two different areas:
Distinct capabilities of AI, for instance, deep learning and unsupervised learning, serve huge benefits for cybersecurity since it holds the ability to analyze and mitigate large sets of potentially malicious data without any human interaction, while providing recommendations for future threats.
The application of AI for Digital Safety has several benefits and usages:
Unfortunately, the same AI technology used for defensive purposes can also be used by threat actors to breach systems. Attackers use AI-driven tools that constantly change their malware signatures to evade detection. They also use tools that spawn large amounts of malware to increase the power of their attacks. Using AI, malicious actors are able to launch new attacks, created by analyzing an organization’s vulnerabilities through spyware.
Artificial Intelligence programs are vulnerable to direct attacks as well. Machine Learning (ML) algorithms can be exploited by altering their functionality through data manipulation. The AI behaves as intended according to the data that is fed to it. If false positives are provided, it would bring damaging consequences to the ones who are relying on the intelligence of the system. This could also happen through vulnerabilities in the code, such as software bugs. Adequate testing mechanisms and bug bounty programs can be used to resolve this problem, but to protect the ML algorithms themselves, methods are still underway.
For all these matters various policies and standards have been proposed regarding the security of AI.
Artificial Intelligence is a powerful tool for identifying vulnerabilities, threats, and attacks in cyberspace. Security-focused AI is capable of detecting and analyzing enormous amounts of data without interruption, seeking malicious activities and providing necessary recommendations. The benefits are vast, however, AI software is itself vulnerable to data manipulation and poisoning, which destroys the integrity of their programs. Necessary procedures must be adapted to mitigate these issues and to protect and strengthen the functionality of AI.
Dilki Rathnayake is a Cybersecurity student studying for her BSc (Hons) in Cybersecurity and Digital Forensics at Kingston University. She is also skilled in Computer Network Security and Linux System Administration. She has conducted awareness programs and volunteered for communities that advocate best practices for online safety. In the meantime, she enjoys writing blog articles for Bora and exploring more about IT Security. 
Editor’s Note: The opinions expressed in this guest author article are solely those of the contributor, and do not necessarily reflect those of Tripwire, Inc.



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