arXiv:2506.12060v2 Announce Type: replace-cross Abstract: Cybersecurity organizations are adapting to GenAI integration through modified frameworks and hybrid operational processes, with success influenced by existing security maturity, regulatory requirements, and investments in human capital and infrastructure. This qualitative research employs systematic document analysis and comparative case study methodology to examine how 25 studies from 2022 to 2025 document organizational adaptation of threat modeling frameworks, revealing a shift away from traditional signature-based systems toward AI
The proliferation of generative AI tools necessitates an immediate adaptation by cybersecurity organizations to integrate these new capabilities and mitigate evolving threats.
This shift signifies a fundamental change in cybersecurity defense strategies, moving away from traditional methods to AI-driven approaches, which impacts threat modeling and operational frameworks.
Cybersecurity now increasingly relies on GenAI integration, requiring new frameworks and hybrid operational processes, fundamentally altering how organizations defend against threats.
- · AI cybersecurity solution providers
- · Organizations with high security maturity
- · GenAI researchers and developers
- · Legacy cybersecurity solution providers
- · Organizations slow to adapt to AI
- · Traditional signature-based systems
Cybersecurity defense mechanisms are being re-engineered to leverage generative AI capabilities for threat detection and response.
The demand for specialized AI cybersecurity talent and continuous training will surge to manage complex AI-driven systems and frameworks.
A potential 'AI arms race' in cybersecurity could emerge, as both defenders and attackers increasingly employ sophisticated generative AI tools, leading to rapidly evolving threat landscapes.
This signal links to a primary source. Continuum Brief monitors and indexes it as part of the live intelligence stream — we do not republish source content.
Read at arXiv cs.AI