AI will reshape the cybersecurity world in 2021



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X-Phy sells the futuristic devices to prevent the risk of cyber attacks with embedded AI technology

Recently, thanks to the growing amount of data (from both consumers and businesses), cybersecurity has become a darling of the IT industry, leading to an increase in cybercrime. Examples of such data breaches are the theft of credentials such as passcodes, the smuggling of malware in order to curb networks, social engineering, incorrect management of permissions and threats from insiders. The exponential increase in these incidents has spurred the adoption of artificial intelligence to implement efficient and precise data defense mechanisms.

In addition, the use of AI to counter these criminal acts has made defensive promises for cybersecurity. There is no doubt that IT pros agree that AI-powered cybersecurity will be a safe bet in 2021. The industry is flooded with countless AI security solutions. Cyber ​​security vendors will step up AI development to merge human and machine understanding to surpass cybercriminals’ goal of staging an arms race.

Often a mere passcode prevents cybercriminals from accessing your user account, be it a social network account or a workplace portal. Unfortunately, it has been found that the majority of account users create “weak” and ineffective passwords. In addition, they use the same passcode on multiple platforms, making it easy for hackers to access multiple applications that a victim is using using simple methods such as brute force attacks. You can avoid such threats by adopting biometric authentication. Although it was also vulnerable to cyber threats, the development of artificial intelligence algorithms has increased the accuracy and prevention of suspicious items.

We expect countless AI developments in cybersecurity applications in 2021. In particular, it is predicted that AI will “lend a hand” and complement human efforts in detecting and countering cyber threats. AI-powered data storage solutions will be among the top threat prevention methods. This article looks at the different areas of AI development from 2021 onwards.

Addressing the cybersecurity skills shortage

The current skill gap associated with employees working from home is an asset to hackers. You have a better chance of engaging in obnoxious activities. And since hackers focus on pointless areas, organizations need to take effective measures to stay safe. In recent years, Artificial Intelligence has become a popular defense solution against cyber threats, attack patterns, suspicious network activity, etc. Although its introduction has fueled competition between threat perpetrators and threat guards, AI will stand out in 2021 by reducing bandwidth for Industry leaders who strive to protect their businesses from attack prevail.

AI organizations will automate all security processes against incidents like phishing, hijacking, ransomware, malware and more. Rather than the cybersecurity industry scrambling to recruit new talent to fill the skill gap, AI will free the existing pit experts for other duties such as employee training and administrative duties. In addition, the integration of AI ensures the defense against ransomware, phishing, MitM, password and other unknown software and hardware attacks.

Solving authorization problems when introducing the cloud

Cyber ​​security experts agree that the adoption of cloud solutions is increasing. However, since resources are usually generated and implemented within minutes or seconds, IT security teams are faced with the challenge of managing the authorization of these clouds, ie who is allowed to access these cloud workloads, how long and at what time. Traditional tools cannot work in such environments.

Fortunately, AI-powered solutions can help identify access-related risks in these environments by identifying people and machines and assessing their roles, identities and permissions. The establishment of a granular transparency enables companies to meet their compliance requirements and to stipulate access with the lowest rights even in highly distributed cloud environments. Artificial intelligence is also used to implement baselines for cloud configurations to detect and report any change or irregularity that triggers the alarm, and to fix the detected misconfiguration yourself.

Artificial intelligence will be anchored in authentication schemes

It was found that the use of AI in authentication processes makes the framework much more dynamic, has little friction and enables precise decisions in real time. Using the example of Privileged Access Management (PAM), we all know that multi-factor authentication is an access protocol in which users have to specify multiple authentication factors in combination with their dynamic behavior. This reduces the risk of making wrong authentication decisions. Then think about how it will be in 2021! AI is used more often to prevent cyber threats and to create real-time risk assessments during the authentication phase.

Find the unknown unknowns

Anomaly identification and network / system analysis are the most important environments for unsupervised learning, especially ideal for cybersecurity. Also, relying on historical information when training is not advisable as better technology is required. AI-enabled solutions are used to bring together both supervised and unsupervised machine learning to detect fraud across the customer journey. Companies will take unconventional approaches to giving their customers access to their e-business information, which means these decisions will not be made anyway.

AI and security operations

Protecting your company’s infrastructure and applications requires proper correlation between the basic data and records of IT operations. This means that both user and machine data should flow smoothly through the digital infrastructure. Security algorithms model patterns of historical behavior, and in doing so, anomalies and deviations associated with these patterns are identified in real time. The introduction of AI would automate the whole process and block malicious actors in real time.

AI will increase security in remote environments: these days, employees are flexible to work thousands of miles from their employer, which means there are many endpoints around the world and the vulnerabilities have multiplied. In 2021, AI-powered security measures will be in place to monitor and control all of these endpoints to keep businesses safe.

To sum up, given the importance of AI to cybersecurity, businesses and nonprofits rely heavily on AI-powered security solutions to stay protected. After all, these predictions show that the future of cybersecurity is bright thanks to artificial intelligence.

X-Phy Hacker Noon profile pictureby X-Phy @xphy. X-Phy sells the futuristic devices to prevent the risk of cyber attacks with embedded AI technologyRead my stories

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