Cybersecurity is a top priority for businesses as technology advances, offering new ways to exchange information and conduct financial transactions. By 2025, security breaches could cost businesses nearly $10.5 trillion annually. In 2023, the average cost of data breaches reached $4.45 million, with risks including phishing, identity theft, data breaches, and compromised hardware.
Understanding the relationship between artificial intelligence and cybersecurity is crucial as digitalization continues to grow. Artificial intelligence can enhance cybersecurity by automatically detecting threats and protecting sensitive data. AI techniques such as deep learning, natural language processing, and machine learning play a key role in threat detection and response.
AI can improve cybersecurity by effectively detecting threats, monitoring user behavior, identifying phishing attacks, automating incident response, detecting anomalous patterns, and enhancing threat intelligence and predictions. Examples of AI in cybersecurity include Honeywell’s threat detection system, Amazon’s AWS GuardDuty and Inspector, Splunk Enterprise Security platform, PayPal’s transaction analysis, and Plaid’s use of advanced machine learning algorithms.
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