Cybersecurity continues to be a major concern for businesses that rely on digital assets and resources to function. The Internet is filled with potential threats, such as hackers or corporate spies, that can severely impact operational excellence and financial results.
To make matters worse, developments in artificial intelligence (AI) have significantly increased the risk of cyber threats. AI has enabled cybercriminals to automate attacks and expand scope exponentially. Hackers utilize AI to identify and exploit weak points in a security system much faster than a human and disguise attacks with greater sophistication than ever before. In addition, AI allows threat actors to conduct nefarious activities cost-effectively.
Thankfully, technology exists to fight fire with fire by integrating AI defenses into business cybersecurity systems. AI is capable of functions that would be costly, difficult, or impossible to implement with human beings and traditional technology. Consider implementation of AI to enhance your cybersecurity framework.
Machine learning is a branch of AI that enables computers to use datasets to create and adapt algorithms. Computers can identify anomalies far more accurately than human beings, making machines indispensable in identifying potential threats. Machine learning can provide a business with additional precious time to prepare defenses against an attack.
Password protection and authentication
Passwords are one of the primary barriers between protected data and unwanted third-party access. Historically, however, companies have been vulnerable to cyberattacks that predict passwords or because hacker programs feed through possible iterations until the valid password is found.
AI helps by enabling the use of longer and more complex passwords that don't require the user to remember a variety of combinations by rote. Moreover, biometric authentication mechanisms such as facial recognition or fingerprint scans have proven even more secure.
Phishing attacks, which use emails to trick users into giving away sensitive information and clicking on dangerous links, are among the most common types of cyberattack. AI is able to identify and monitor over 10,000 known phishing sources, predicting and blocking attacks far more quickly than an individual person. AI can also scan objects for embedded phishing programs.
AI can be used to scan IT systems for vulnerabilities and determine if inherent risk exists. Moreover, AI is able to leverage hacker discussions on Dark Web forums and the historical behavioral patterns of known hackers to predict possible methods of attack, resulting in more thorough analyses to defend against cyber warfare.
Configuring a cybersecurity policy and establishing the network topography are essential but time-consuming requirements for protecting an organization against cyberattack. AI expedites the process to increase cyber awareness by suggesting policies and documenting network traffic patterns, which saves time and allows technical resources to be more focused on supporting revenue generating activities for the company.
AI can be used to establish patterns in standard use of devices and online platforms by tracking activity, such as typical login times, usual IP addresses, and even typing and scrolling patterns. By using machine learning algorithms to learn from collected data, a benchmark for expected user behavior can be established. If the algorithms detect behavior that deviates from expected patterns, the activity is flagged as a potential threat, marking the user as suspicious or even barring access entirely. Behavioral analytics are extremely effective in the identification and mitigation of threats.
We at Roebuck Technologies can guide you through the process of implementing AI-based protections and minimizing your company’s exposure to cybersecurity risks. Call our experts now to build an enhanced cybersecurity framework into your IT infrastructure.