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AI technologies are revolutionizing cybersecurity by enabling real-time data processing and threat detection. These advancements enhance the efficiency and accuracy of cybersecurity measures, allowing systems to predict vulnerabilities and respond to threats at unprecedented speeds. However, the integration of AI also introduces significant risks that necessitate ethical oversight and regulation.
The evolving landscape of AI in cybersecurity highlights the need for cohesive regulatory frameworks to address challenges such as bias and privacy concerns. Historical milestones in AI regulation reveal a shift towards global harmonization, exemplified by initiatives like the EU AI Act. The urgency for adaptive governance is emphasized to ensure ethical AI deployment while fostering innovation.
• AI enhances cybersecurity efficiency and accuracy in threat detection.
• Ethical oversight is crucial for AI integration in cybersecurity.
XAI techniques help clarify AI decision-making processes, fostering user trust and understanding.
Federated learning allows secure data analysis without compromising user privacy, addressing data exposure concerns.
Bias in AI can lead to unfair targeting of demographic groups, necessitating diverse datasets and audits.
Capitol Technology University is involved in researching AI's role in cybersecurity and regulatory frameworks.
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