The alerts received by the average business are 10,000 per day. Most of them are related to the malware and other threats. Cybersecurity staff often find themselves flooded with data they must sort through to maintain their cyber security infrastructure intact.
The stakes are high. Cyberattacks are increasing and affect thousands of organizations eventually impacting millions of people’s lives.
These challenges create the need for better ways to change the tide of cyber breaches. Artificial intelligence is particularly well suited to finding patterns in vast amounts of data.
AI does help humans
AI constantly optimized itself
AI technology is quite sharp, and it does constantly improve network security over time. It uses machine learning and deep learning to analyze a business network’s behaviour over time. It recognizes patterns and clusters them on the network. It then proceeds to detect any anomalies or security incidents from the normal behaviour before responding to them.
AI automatically learns the patterns over time and can help to improve security in the future. Potential threats with similar symptoms to those classified and categorized before get blocked early enough. The fact that AI’s self-learning makes it difficult for hackers to beat its intelligence.
AI can find unknown or unidentified threats
A human being, usually, can not identify all the threats a company faces. Every year, hackers launch hundreds of millions of attacks with different motives from different locations by using various new methods. Unknown threats can cause pretty harmful damage to a network. And the worse part is the impact they can have before you detect, identify, and prevent them.
AI-based cybersecurity systems can provide the latest knowledge of global, industry-specific dangers to better formulate vital prioritization decisions based not merely on what could be used to attack your systems but based on what is most likely to be used to attack your systems.
It is very effective against bots
As we can see, nowadays, there are a lot of fake bot accounts which overwhelm any system. Bots make up a huge part of the internet today, and they can be dangerous. From account takeovers with unauthorized or stolen credentials to bogus account creation and data fraud.
You can’t beat automated threats with manual responses alone. AI and machine learning help build a thorough understanding of website traffic and distinguish between good bots (like search engine crawlers), harmful bots, and humans.
AI enables us to analyze a vast amount of data and allows cybersecurity teams to adapt their strategy to a constantly altering landscape.
It significantly improves the EndPoint protection system
The number of devices used for working remotely is drastically increasing, and AI has a crucial role to play in securing all those endpoints.
Antivirus and VPNs do help against malware and ransomware, but they often work based on signatures. This means that in order to stay protected against the latest threats, it is necessary to keep up with signature definitions.
This can be a concern if virus definitions are outdated, due to a failure to update the antivirus solution or a lack of awareness from the software vendor. So if a new type of malware attack occurs, signature protection will not be able to protect against it.
It provides additional Security Authentication
AI secures authentication whenever a user wants to log into their account. AI uses various tools such as facial recognition, CAPTCHA, and fingerprint scanners for identification. The information collected by these features can help to detect if a login attempt is legit or not.
Hackers, usually, use credential stuffing and brute force attacks to access company networks. Once an attacker enters a user account, the whole network could be at risk.
Disadvantages of having AI
It can be very expensive
In order to build and maintain an AI system, organizations would need substantially more resources and financial investments.
AI systems are trained using data sets, which must be equipped with many distinct sets of malware codes, non-malicious codes, and anomalies. Acquiring all of these data sets is time-intensive and requires big investments that most organizations cannot afford.
Cybercriminals can use AI too
AI can be used by cybersecurity professionals to bolster cybersecurity best practices and minimize the attack surface.
On the other hand, cybercriminals can take advantage of those same AI systems for malicious purposes. Adversarial AI causes machine learning models to misinterpret inputs into the system and behave in a way that’s favourable to the attacker.
Conclusion
Artificial intelligence and machine learning can improve security, also making it easier for cybercriminals to penetrate systems with no human intervention. This can cause significant damage to a company’s business. Getting some kind of protection against cyber criminals is highly recommended if you want to stay in business.
