BotNet News

Artificial intelligence (AI) has a significant impact on cybersecurity, enabling more proactive threat detection and speeding up incident response time. However, there are several factors to consider when considering AI for your organization’s security strategy.

AI is designed to recognize patterns and anomalies in large datasets, providing lightning-fast, real-time detection and swift action against cyberattacks. In addition, the self-correcting capabilities of many AI models reduce the likelihood that they overlook genuine threats or misidentify benign activity, enabling cybersecurity teams to respond rapidly and decisively.

Unlike rule-based systems that struggle to keep pace with the tactics of cybercriminals, AI is uniquely able to adapt and learn in real-time, ensuring effective defense against evolving threats. AI also enables scalability, so it can grow alongside your business and handle ever-increasing data volumes without losing effectiveness or efficiency.

Banking and financial services organizations manage some of the largest, most complex and most sensitive datasets in the world, making them prime targets for attacks such as phishing, ransomware, lateral movement and insider threats. Credico, a professional services firm, accelerated tablet policy compliance and security with an AI-enabled UEM solution to protect employee devices, while United Family Healthcare used an AI-powered incident response platform to detect phishing emails and speed up ransomware containment.

Cyberattacks are constantly changing, and even the most advanced defenses can be compromised by attackers that employ new techniques. AI can help detect and neutralize these sophisticated, unidentified attacks by analyzing the behavior of both known and unknown malware samples. Additionally, it can be trained to probe the defenses of your software and networks to identify vulnerabilities that hackers could exploit.