What question did this study set out to answer?

To evaluate the dual impact of artificial intelligence in cybersecurity across defensive applications, offensive threats, and ethical governance frameworks.

August 20, 2026Open Access

Transforming Cyber security with AI: Current Hurdles and Future Horizons

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Authors

DSDash SatyabrataNational Institute of Science and Technology DPDr Sasmita PanigrahiDepartment of Biotechnology BPBiswanath PatroNational Institute of Science and Technology

Discussion

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Implication

Literature review reveals the dual defensive and offensive capabilities of AI in digital ecosystems, highlighting the necessity for explainable models and human-in-the-loop governance.

Key Points

To evaluate the dual impact of artificial intelligence in cybersecurity across defensive applications, offensive threats, and ethical governance frameworks.
Conducted a comprehensive literature review assessing AI-enabled defense mechanisms, offensive threat landscapes, organizational paradigms, and ethical constraints.
Identified that adversarial actors increasingly exploit AI to automate attacks, deploy intelligent malware, and engineer complex social disruption campaigns.
Showed that AI functions most effectively as a decision-support and automation framework rather than a complete replacement for human expertise.
Established that long-term cybersecurity resilience requires integrating explainable AI (XAI), strict data privacy safeguards, and multi-stakeholder governance.

Cite This Study

Satyabrata et al. (2026) studied this question.

synapsesocial.com/papers/6a86b5978a91293e6a1cd0fb https://doi.org/10.5281/zenodo.21995350

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August 20, 2026Open Access

Transforming Cyber security with AI: Current Hurdles and Future Horizons

View Full Paper

Ask AI

Bookmark

Authors

DSDash SatyabrataNational Institute of Science and Technology DPDr Sasmita PanigrahiDepartment of Biotechnology BPBiswanath PatroNational Institute of Science and Technology

Discussion

Member takes

Implication

Literature review reveals the dual defensive and offensive capabilities of AI in digital ecosystems, highlighting the necessity for explainable models and human-in-the-loop governance.

Key Points

To evaluate the dual impact of artificial intelligence in cybersecurity across defensive applications, offensive threats, and ethical governance frameworks.
Conducted a comprehensive literature review assessing AI-enabled defense mechanisms, offensive threat landscapes, organizational paradigms, and ethical constraints.
Identified that adversarial actors increasingly exploit AI to automate attacks, deploy intelligent malware, and engineer complex social disruption campaigns.
Showed that AI functions most effectively as a decision-support and automation framework rather than a complete replacement for human expertise.
Established that long-term cybersecurity resilience requires integrating explainable AI (XAI), strict data privacy safeguards, and multi-stakeholder governance.

Cite This Study

Satyabrata et al. (2026) studied this question.

synapsesocial.com/papers/6a86b5978a91293e6a1cd0fb https://doi.org/10.5281/zenodo.21995350

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