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Ensuring Cybersecurity Compliance in an AI World

Aaron Momin

Chief Information Security Officer , New York

Artificial Intelligence

The rapid adoption and advancement of artificial intelligence (AI) has disrupted and revolutionized the way we conduct business, and cybersecurity is no exception. AI is now integral to identifying and mitigating cyber threats, offering unprecedented speed and accuracy.

Organizations must be aware that bad actors are also using AI to advance cyberattacks, enabling sophisticated phishing campaigns and smarter malware. Fortunately, they are not yet using AI at scale, and we have time to prepare for this inevitable future.

As AI becomes embedded in digital infrastructure to optimize tasks and cut costs, it also introduces new risks and vulnerabilities. This dual-edged nature of AI in cybersecurity highlights the need for robust security, privacy, and compliance measures to protect sensitive data and maintain trust.

The Intersection of AI and Cybersecurity

According to Precedence Research, the market size for AI in cybersecurity is expected to reach $29.65 billion in 2025. Figures like this aren’t surprising considering the proliferation of AI across multiple industries and the rapid deployment across almost all tools in an organization’s tech stack. When it comes to how companies are using AI in cybersecurity, here are some of the most common applications:

  • Threat Detection

AI can analyze vast amounts of data to identify unusual patterns or anomalies that could signify a breach. Real-time analysis like this allows companies to act quickly, offering ways to stop attacks before they cause severe damage.

  • Automated Response Systems

AI can also power systems that isolate compromised devices, patch vulnerabilities, or block suspicious traffic without human intervention. This helps reduce the window of opportunity for attackers to take advantage of.

  • Predictive Analytics

Another use is predictive analytics. AI can help organizations anticipate future threats based on historical data and trends, enabling a more proactive approach to cybersecurity.

  • Behavioral Analysis and User Monitoring

AI can track and analyze user behavior across the organization to detect anomalies, flag unusual activities such as unauthorized access, and identify potential insider threats or compromised accounts in real time.

Advantages like these are creating a world where incorporating AI into your cybersecurity strategy is moving from optional to full blown necessity.

The Author

Rachel Anderson, Digital Lead at Synechron UK
Aaron Momin

Chief Information Security Officer

Aaron is Synechron’s Chief Information Security Officer. He oversees the execution of Synechron's worldwide information security strategy and information security program. Aaron possesses nearly three decades of extensive experience in cyber risk, IT risk, information security, and business continuity planning. He most recently served as the Chief Information Security Officer at Certinia. Over the years, Aaron has also held significant positions at prestigious global consulting firms. He was a Managing Director at PwC and held managerial roles in security at both Ernst & Young and Accenture.

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