Artificial Intelligence’s Risks and Rewards in Cybersecurity

Check out the information on artificial intelligence's risks and rewards in cybersecurity

The cybersecurity framework's five functions, according to NIST, are Identity, Protect, Detect, Respond, and Recover. In practice, how might artificial intelligence benefit security professionals in any of these domains?

Identify And Protect: In today's world, identifying cyber risks has gotten increasingly challenging, especially with zero-day attacks. These are system flaws found by attackers before the vendor or system designer is aware of them, which may then be exploited for nefarious reasons.

Respond: One of the procedures taken by security operations teams in response to a cyber-attack is to block the discovered threat's originating IP address. These IP addresses are retrieved via email headers, threat intelligence tools, and platforms on occasion. AI can help to automate this process by detecting, analyzing, and banning known malicious IP addresses.

Transparency And Explain ability: In such circumstances, you must walk through how you moved from intelligence to insight to action so that people may reach the same conclusion you did give the same data. The lack of openness surrounding how a model was generated is one of the difficulties with many AI models and solutions.

Fairness: AI systems are only as intelligent as the data used to train them. Bias can be encoded into them unwittingly and unintentionally. This might lead to incorrect analysis and, eventually, poor judgments with serious repercussions. If specific vulnerability tendencies were not identified, the firm may be subjected to a significant attack.

Security: Assume they leave the gate open and fall asleep, or that they simply collaborate with the robbers. This is what occurs when AI technology used for cyber defense operations is not handled by cyber hygiene guidelines such as frequent upgrades, security by design throughout the construction process, and testing.