AI in Cybersecurity
Artificial intelligence (AI) in cybersecurity is the application of machine learning algorithms and neural networks to enhance security tools, enabling them to detect threats faster and more accurately. The result is better detection, faster response and increased agility against a rapidly growing number of new cyber attacks.
Security AI can identify patterns of behavior and activity that are indicative of a threat, speeding up the time it takes to recognize, prioritize and investigate incidents. It can also detect anomalies and suspicious behaviors that elude human detection. ML algorithms continuously learn, improving their performance and helping them evolve to respond to new threats faster than humans.
One of the most popular methods attackers use to gain access to systems is by infecting them with malware. This malware can steal information, decrypt passwords, and extort victims for ransom. AI can help defenders analyze and reverse engineer malware samples to discover the attack vector and deliver meaningful insights to bolster defenses.
Another common method attackers use to breach security is phishing attacks. AI can help defenders stop these attacks by analyzing the way people communicate, looking for typical behaviors and textual patterns, and identifying atypical activities that could signal a phishing campaign in progress.
While AI in cybersecurity does not replace human expertise, it frees up security professionals to focus on more strategic decision-making. To reap the benefits of security AI, it is important to plan how and when to implement it within your organization. Start by identifying your organization’s security posture and goals. From there, create an AI protection strategy that defines how to incorporate and manage your security AI solution.