The rise of artificial intelligence (AI) presents new cybersecurity risks as its applications expand across industries, from data analytics to automation. While AI enhances efficiency, it also introduces security concerns.

1. AI-Driven Attacks: Hackers exploit AI for sophisticated cyber threats, such as deepfake disinformation and automated phishing, making attacks more deceptive and harder to detect.
2. Data Privacy and Surveillance: AI relies on vast amounts of data for training, often involving sensitive information. This increases the risk of data breaches and misuse.
3. Security Vulnerabilities in Automation: AI-driven cybersecurity solutions can strengthen defense mechanisms, but flaws in AI models, biased training data, or system vulnerabilities may lead to misjudgments and security gaps.
4. Regulatory and Ethical Challenges: As AI adoption grows, balancing innovation with regulation is crucial. Ensuring privacy protection and preventing AI misuse remain key global challenges.

To address these risks, businesses and governments must prioritize cybersecurity, strengthen legal frameworks, and invest in AI security measures to build a safer digital future.