Effective Use of Intelligence in Cybersecurity

Effective Use of Intelligence in Cybersecurity-01

With the advancements in digital technology, experts ask businesses to brace themselves against threats with beneficial AI and ML solutions

Considering the increasing cyber threats in the global industry, it is imperative that brands re-analyze their security measures. Cybersecurity experts believe that the traditional approach of powering the cyber walls does not keep hackers away entirely. Calling the wall a sieve, they believe hackers can sneak their way in when they find gaps and loopholes.

A study by Capgemini Research Institute states that two-thirds of organizations are using AI for cybersecurity purposes. It also revealed that 61 percent of brand executives claim they cannot secure brand data without this intelligent technology.  Although it is known that Artificial Intelligence and Machine Learning solutions are essential to address advanced threats, many companies fail to utilize them to their full potential.

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While several brands use AI to replace monotonous, repetitive tasks, experts recommend the AI automated assessment tool to train data on how to respond to circumstances by analyzing variables. With the growing capabilities of AI, it is increasingly possible for brands to identify all types of threats and AI audit trails help counteract those frauds and establish compliance.

A traditional cybersecurity system relies on historical data to prepare for future threats. With increasing digitization, new ones remain undiscovered. With the ability to quickly identify network anomalies and suspicious patterns, next-generation Security Operation Centers (SOC) are also an option that brands can utilize. The privacy threats have forced companies to adopt privacy-preserving machine learning systems as well. Experts reckon this would both protect businesses and the consumer data that is integral to training models.

Meanwhile, huge organizations that use systems like SAP have a hard time managing vulnerabilities. A Ponemon Institute report reveals that unpatched vulnerabilities cause 60 percent of breaches. Experts suggest using ML methods like User and Behavioral Analytics to analyze several servers and detect anomalies at the earliest, much before any vulnerability is reported.

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Integrating the AI tool into an existing security system is beneficial. However, experts warn brands not to implement AI without careful analysis and testing. Businesses must first analyze potential risks against these new technologies. A strategy to ensure that the AI and ML solutions will effectively integrate into their current security program is crucial.

Norton revealed that it takes an average of 196 days to recover from a data breach. The Federal Trade Commission and Consumer Financial Protection Bureau make companies compensate for consumer privacy damage, which would undoubtedly be expensive for any brand. Experts also recommend the use of risk and compliance assessment tools that can help businesses automate workflows and collect data.

With promises of enhancing Multi Factor Authentication outcomes, brands use AI concepts to make real-time authentication decisions. Additionally, with improved biometrics, some companies can eliminate insecure passwords or even the use of passwords altogether.

Research by Trend Micro claims that AI will replace the need for human beings by 2030. This certain future has compelled cybersecurity experts to encourage the establishment of ethical guidelines that would not only secure data from threats but also eliminate technological bias.

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