Page 72 - Cyber Defense eMagazine August 2024

In addition, incorporating AI into intrusion detection can enable systems to go beyond simple rule-
checking to identify suspicious user behavior and network activity. For example, if a high-privilege user
behaves unusually, AI can promptly sound the alert.

Navigating Compliance and Ethics in AI

As AI-driven security measures become more common, companies must follow existing regulations like
GDPR and CCPA. These regulations are designed to protect user data and privacy, and any AI system,
including security protocols, must adhere to them. AI can benefit cybersecurity only if it does not
compromise user privacy or data protection standards. Compliance with regulations safeguards users
and protects organizations from potential legal fallout.

Ethical considerations are also paramount for companies implementing AI in cybersecurity. While
enforcing information security policies is advisable, it's equally important to ensure employees
understand and acknowledge them. This understanding gives organizations a level of assurance. If
employees act against the policies, companies have a foundation for actions ranging from disciplinary
measures to potential termination.

Anticipating an AI-Driven Cybersecurity Future

A lot is happening that is very exciting. Integrating AI with technologies like IoT and blockchain presents
both opportunities and risks. Quantum computing's potential, though still in the early stages, promises
computational power that can both bolster AI's capabilities and pose threats if misused. The tech world
is abuzz with the potential of deep learning AI and LLMs, especially for automation.

AI's future role in cybersecurity is undeniable, but it offers promise and peril for companies. Enterprise
organizations must find a way forward, benefitting from its strengths while staying vigilant against its
potential pitfalls.

Cyber Defense eMagazine – August 2024 Edition 72
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