While organizations are increasingly using AI to strengthen security, cybercriminals are also using it to create advanced attacks. This creates a high-stakes game of cat and mouse, where AI technologies are employed to protect data and conduct advanced cyber attacks.

Let's explore how cybersecurity firms are using AI to protect against AI-driven attacks and the challenges that the above-mentioned dynamic presents.

AI Cybersecurity: Defense Mechanisms

In defense, AI is utilized heavily to identify and thwart cyber attacks, exceeding conventional security techniques because of its capacity for high-speed processing of enormous amounts of data. Below are some of the applications of AI in cybersecurity defense:

1. Threat Detection and Prevention

AI-based machine learning algorithms play a crucial role in detecting abnormal patterns in data that may signal an impending threat. The algorithms learn from historical attacks in real time and get better at detecting threats over time.

AI also tracks user activity and network traffic in real time, triggering security teams on anomalies that could be a sign of a breach. Automated responses can also quarantine infected systems or block malicious activity the moment a threat is identified.

2. Predictive Analytics

Predictive analytics is improved by AI through the aggregation and analysis of data from various sources. Thus, allowing organizations to predict upcoming threats before they occur. This forward-thinking strategy gives businesses a considerable edge. It enables them to prepare for attacks that have not yet been discovered. AI also evaluates vulnerabilities in systems, ranking security protocols based on the potential damage of risks that have been discovered.

3. Security Automation