Harnessing AI to Supercharge Cybersecurity: A Thorough Literature Review

Harnessing AI to Supercharge Cybersecurity: A Thorough Literature Review

Introduction

In an era where cyber threats evolve rapidly and with increasing sophistication, harnessing the power of Artificial Intelligence (AI) is no longer just a novel idea—it's a necessity. AI's prowess in automating tasks, honing threat detection, and refining responses is revolutionizing the cybersecurity landscape. Through an exhaustive review of 2395 studies, this article distills knowledge from 236 primary studies to shed light on how AI stands as a linchpin in the modern cybersecurity framework.


AI and the NIST Cybersecurity Framework: A Match Made in Heaven

Our thematic analysis zeroes in on the National Institute of Standards and Technology (NIST) cybersecurity framework, establishing clear classifications for AI use-cases within its parameters. By categorizing the myriad ways in which AI can be employed across various cybersecurity contexts, we offer readers a panoramic view of AI's immense potential.

1. Identification - AI enhances threat intelligence, enabling organizations to swiftly identify potential vulnerabilities and proactively fortify their defenses.

2. Protection - Machine learning algorithms predict and prevent unauthorized access, ensuring data integrity and safeguarding sensitive information.

3. Detection - Leveraging deep learning, cybersecurity systems can now detect anomalous behaviors or patterns, even those previously unrecognized, in real-time.

4. Response - Automated response systems powered by AI ensure immediate action against threats, minimizing potential damages.

5. Recovery - Post-attack, AI tools assist in the rapid restoration of services, ensuring business continuity and reputation protection.


Future Horizons: Research Opportunities & AI Frontiers

While the present applications of AI in cybersecurity are commendable, our literature review illuminates the path forward. The future beckons:

- Emerging Cybersecurity Areas: As digital ecosystems evolve, so do the threats they face. Research into IoT, biometric security, and quantum computing will open up new avenues for AI intervention.

- Advanced AI Methods: Going beyond traditional machine learning, exploring the realms of neural networks, adversarial learning, and hybrid models promises heightened security efficacy.

- Data Representation: To fuel AI's potential, robust and diverse data representations are crucial. Investigating novel data processing and enrichment techniques will be key.

- New Infrastructure Development: For AI to seamlessly integrate into cybersecurity frameworks, supportive infrastructure tailored to its unique demands is paramount.

Conclusion

In today's era, marked by relentless digital transformation and multifaceted crises, the marriage of AI and cybersecurity isn't just strategic—it's vital. By understanding its current capabilities and potential trajectories, organizations can position themselves at the vanguard of cyber defense, ensuring a safer digital tomorrow.

For a detailed dive into the findings and a comprehensive breakdown of the studies reviewed, refer this research.

Disclaimer: The views and opinions expressed in this article are those of the author and do not reflect the official policy or position of any other agency, organisation, employer or company.

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Rajesh Bhosale

🤖🚀 Sales Pro Transitioning to AI/ML, GenAI, Data, Cloud Sales 🌐 Experienced with EXFO, Cisco, Nokia, Alcatel-Lucent, RCOM, Tata, GTL 💼 Sales/Mktg, Presales, BD, Network P&E/Ops

1y

This is a well-argued article that emphasizes the crucial role of AI in modern cybersecurity. The thematic analysis is particularly insightful, offering a holistic view of AI's potential to strengthen organizational defenses across all NIST Cybersecurity Framework domains. 👍🏻 AI is a cornerstone of modern cybersecurity, enhancing threat intelligence, protection, detection, response, and recovery. Hence, the convergence of AI and cybersecurity is essential in today's era of relentless digital transformation and complex crises. 🫱🏻🫲🏻

Blake M.

Machine Learning Engineer

1y

The synergy between AI and cybersecurity is a critical frontier—this review sounds like essential reading for understanding its scope and impact! Subscribing now to keep up with such insightful analyses.

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