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CIO Applications Weekly Brief

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  • Cyber Security
Editor's Pick (1 - 4 of 8)
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Augmenting Cybersecurity in Healthcare Industry

Augmenting Cybersecurity in Healthcare Industry
Robert Napoli, CIO, Planned Parenthood of the Great Northwest and the Hawaiian Islands

Security Solutions for Cyber Risk Mitigation

Security Solutions for Cyber Risk Mitigation
Colin Black, CIO, Crowd Strike

The Tao of Cyber Security in today's reality

The Tao of Cyber Security in today's reality
Marc DeNarie, CIO, NaturEner USA & Canada

Preventing Cyber-Attacks in Universities with Operational Collaboration

Preventing Cyber-Attacks in Universities with Operational...
Michael Corn, Deputy CIO & CISO, Brandeis University

Addressing Cyber Security Strategically

Addressing Cyber Security Strategically
David L Stevens, CIO, Maricopa County

Ever-Changing Cyber Security of Business Community

Ever-Changing Cyber Security of Business Community
Jim Sills, CIO/Cabinet Secretary, State of Delaware

IT- A Game-changer in Cybersecurity

IT- A Game-changer in Cybersecurity
Tammy Moskites, CIO and CISO, Venafi

The Realities of Cybersecurity

The Realities of Cybersecurity
Doug Mullarkey, CIO, First Choice Loan Services Inc.

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Top AI Contributions to Found the Smart Future of Cybersecurity

By CIO Applications| Thursday, June 20, 2019
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AI in  CybersecurityAI-assistants will soon turn into human-like cybersecurity guards! This essential ally is all set to defend against real-time cyber attacks.  

FREMONT, CA: As cyber threats grow in volume and complexity, Artificial Intelligence (AI) is helping security operations analysts stay ahead of attacks. AI provides instant insights to improve business fight through the noise of thousands of alerts, drastically reducing response times.

• Using Biometric Logins  

Deploying AI has introduced biometric logins for secure logins. In these systems, AI can scan fingerprints, retina, or palm prints accurately. These biometric logins can be utilized in combination with passwords that are already in use with devices like smartphones and is known as multi-factor authentication.

• Detecting threats and Malicious Activities

Cybersecurity firms are training AI systems to detect malware with the help of datasets that include algorithms and codes. Using data, AI can perform pattern recognition that helps identify malicious behaviors in software. Moreover, AI can play a crucial role in online security. It can analyze path traversals of websites to detect whether a website navigates to malicious domains. Likewise, AI-based systems can recognize malicious files and preemptively isolate them from the system. Furthermore, AI systems can use predictive analytics that will always be quicker and more effective than a manual approach.

• Natural Language Processing

One of the most significant reasons to use AI for cybersecurity is the potential of Natural Language Processing that comes into play. AI systems use Natural Language Processing for selecting useful information from the scanned data. Such information will provide insight into cyber attacks, anomalies, mitigation, and prevention strategies. Using the analyzed data, firms can identify timescales, calculate risks, harvest data, and make predictions. Therefore, they can stay updated on current cyber threats and prepare effective strategies to secure organizations from numerous cyber attacks.

According to CB Insight, in the applications of artificial intelligence, cybersecurity is on the 5th place.  AI solutions are not  100% foolproof, so coming up with a comprehensive, multi-faceted strategy should always remain a priority for businesses. It is also vital that developers invest enough time to conduct thorough data labeling on potential threats and foster the power of AI to continue learning without supervision. 

Check Out: TheCyberSecurityReview 

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