AI Vs. Humans in Cybersecurity

Cybersecurity is a serious concern in the current digital age, much so that cybersecurity has grown to become a whole industry since the advent of the internet and computers. Every other day we hear news of cyber attacks and organizations losing out on valuable and confidential data. Data Annotation, Image Annotation and Video Annotation powered by AI and ML technologies are only making cybersecurity more efficient with time. 

How is AI Transforming Cybersecurity?

Soon enough the world realized that to keep up with this vast spectrum of cyber attacks, just human support isn’t enough. Advanced technologies like Artificial Intelligence (AI) and Machine Learning (ML) made its way into cybersecurity making security protocols smarter and more efficient. 

These revolutionary technologies are transforming the world of information security by collecting and analyzing a billion datasets and identifying cyber threats that may result in serious losses. AI and ML are technologies that are continuously learning and evolving to help organizations detect potential cyber threats. 

From automating threat detection to responding efficiently to unprecedented attacks, AI is making an immense contribution to help keep cybercriminals at bay. 

Human Errors in Cyber Security

A few examples of human errors in cybersecurity would include issues like misdelivery, password misplacements, patching, and more. The possibilities of human error in cybersecurity can safely be categorized as ‘infinite’ and hence, human or manual errors have been categorized into two main types:

Skill-Based Human Errors

Skill-based errors refer to genuine errors and mistakes made when overburdened with repetitive tasks or completely new tasks. In skill-based manual errors, the person concerned is usually aware of how to exactly solve the problem but temporarily fails to do so for a specific instance due to a temporary lapse or a genuine mistake. 

Decision-Based Human Errors

Decision-based manual errors occur when the person concerned makes the wrong decision. Faulty decisions could result from a multitude of scenarios like the professional not having up-to-date knowledge about the system, or the professional not being able to identify that they have made a faulty decision. 

Uses of AI in Cybersecurity- How AI is Helping Solve Human Errors. 

AI is offering effective security awareness and training to help professionals manage cyber attacks and tackle threats more efficiently than before. 

Threat Detection

AI is largely being used to identify cyber threats and illegal activities across the globe. Simple traditional software does not have the capability to battle with the numerous malware being created every day.

AI systems are integrated with intricate algorithms that train the system to detect malware, recognize patterns, and detect the slightest possibilities of a potential malware attacking the whole system. 

With Natural Language Processing, AI is scraping through information and content to curate and group data sets, helping businesses develop new anomalies and devise threat prevention strategies. 

AI can even be used to gather information and prepare for industry-specific cyber risks to help businesses make informed decisions based on what would possibly attack your system. 

Risk Prediction

Organizations and businesses that are required to acquire and manage a large inventory to keep the business running, are often exposed to different types of breach risks. Maintaining inventories manually can be tiresome and inaccurate. 

Intelligent Systems powered by AI technology are helping businesses maintain an accurate and comprehensive record of all the devices, user roles, users, apps, and access levels in all the systems being used. 

AI-powered systems will help you detect and predict how and where your system is under the risk of getting exposed and what all could go wrong, so that you can allocate resources to alleviate those vulnerabilities and boost cyber resilience from beforehand. 

Endpoint Protection

As the world is transitioning more towards a remote work ecosystem, there are multiple endpoints that the AI technology is catering to and has taken over. 

Remote malware is often tackled with smart antivirus solutions and VPNs which work with signatures. Organizations are having to maintain signature definitions to use such solutions and stay protected. 

The downside in endpoint protection is that if at any point of time the virus definitions fail to keep up due to a malfunction or failure to update the antivirus solution, these solutions will most likely not be able to protect your data against any new malware attacks. 

The AI Technology learns from a repeated training process to establish the base for the ideal endpoint behavior. In case anything unusual takes place, AI can not only identify the threat but also take real-time actions in many ways. It could send a notification to the concerned technician or even restore the system and data back to safety on its own. 

Bot Identification

A large portion of the internet traffic today comes from bots that can be dangerous for organizations managing huge volumes of sensitive data. These bots are doing everything shady from stealing credentials and hacking accounts to create fake accounts and generate fake spikes in web traffic, bots can turn your operations upside down. 

Automated threats cannot be addressed with just manual responses and this is where Artificial Intelligence steps in to take the upper hand. AI technology will help you track and monitor website traffic, understand past behaviors, patterns, and unusualities, to differentiate between good bots, bad bots, and real users. 

Wrapping Up!

AIW comes with technological expertise in AI, ML & Cybersecurity to help businesses across multiple industry verticals with Data Annotation services, Data Labeling services, Image Annotation, and more.