Identity and access management (IAM) today is far more complex than it was in the early days of the internet.
First and foremost, the ‘user’, ‘guest’, ‘administrator’ and ‘service’ accounts were associated with passwords that required regular controlled changes to secure the various systems. , there are many account types. Creating passwords has also become very complicated. Must contain at least 8 uppercase letters, lowercase letters, numbers, and special characters. Additionally, personal identification numbers (PINs), two-factor authentication (2FA), multi-factor authentication (MFA), biometrics, soft and hard tokens, card readers, proximity sensors, and photo IDs are part of a person’s access and identification profile. form the department
With all these tools in place to control who has access to what data and under what circumstances, cyberattacks should be a thing of the past. right?
error. (Please also read: Cyberattack Pandemic: Insights into Cybercrime in the Age of COVID-19.)
Cybercriminal tactics have evolved with changing cybersecurity standards and are now using artificial intelligence (AI) and machine learning (ML) to hack into accounts.
Here’s how and what you can do to prevent it.
How AI Compromises Cybersecurity
Even the most sophisticated hacking tools require human-like intelligence to counter potential victims. That’s where AI comes into play.
AI allows cybercriminals to remain hidden and undetected within corporate networks for long periods of time. In the meantime, they can set up backdoors to your organization’s critical infrastructure. Then, when you’re ready to launch an attack on the wider business, intercept meetings, extract data, spread malicious software, create privileged accounts to access other systems, or run ransomware. You can install software.
AI is a particularly effective tool for cybercriminals because of its ability to learn and predict what is happening now and what will happen in the future.
Some of the primary methods cybercriminals use to infiltrate corporate networks using AI include:
According to Malwarebytes, there has been a recent spike in cyber attacks in which hackers use AI and ML to hide behind an organization’s websites and infrastructure. Therefore, to stay safe and stay in business, enterprises must fight fire and fire and employ AI and ML to keep their networks secure. (Please also read: Is artificial intelligence a tool or threat to cybersecurity?)
How AI can enhance cybersecurity
According to Mimecast, the global market for AI cybersecurity technology is expected to reach $46.3 billion by 2027, growing at a compound growth rate of 23.6%.
AI- and ML-powered systems such as Security Event Management (SEM), Security Information Management (SIM), and Security Information and Event Management (SIEM) help security teams detect threats faster and respond to incidents faster. increase. When AI detects malicious activity on a specific her IP or endpoint, it can automatically and immediately block user’s files her access. (Also read: What is the difference between SEM, SIM and SIEM?)
Here are some of the key ways companies are using AI to defend against cyberattacks.
AI can be a powerful tool for enhancing cybersecurity initiatives, but it will not replace traditional security approaches. In fact, it is most effective when used in conjunction with traditional methods. Combining AI with authentication, biometric technology, and/or MFA can strengthen your organization’s defenses. One example of this is implementing a password manager. A password manager provides automation for creating, updating, and advising on the password strength of your choice.
The best way to strengthen an organization’s cybersecurity toolkit is to combine AI with sound, thoughtful cybersecurity practices and security-by-design practices like Zero Trust.
Conclusion
AI and ML are powerful tools that are changing all the ways we do business, including managing network security. As such, security and risk management professionals need to understand the evolving state and best practices for leveraging them to improve their IAM architecture. (Please also read: Artificial intelligence in cybersecurity.)
