Page 58 - Cyber Defense eMagazine September 2025
P. 58

OSINT  Reconnaissance:  Use  open-source  intelligence  (OSINT)  and  frameworks  such  as  MITRE
            ATT&CK to map compliance vulnerabilities and assess policy robustness.

            AI-Driven Threat Modeling: Utilize artificial intelligence to predict potential compliance failures, such as
            exploiting gaps in identity verification processes or regulatory blind spots.

            Cyber Deception: Employ deceptive tactics like synthetic adversary simulations to continuously test and
            enhance internal controls against deepfake and fraud attacks.

            Weaponized  Compliance:  Strengthen  and  proactively  exceed  existing  regulatory  standards  to
            preemptively counter potential threats.

            By actively engaging in these practices, compliance becomes a dynamic defense rather than a static
            checklist.




            Strategic Cybernetics and Compliance as Warfare

            Adversarial GRC is deeply influenced by strategic cybernetics, a legacy of Norbert Wiener, emphasizing
            adaptive feedback loops and anticipatory defense. It reconceives compliance as code—continuously
            refined  and  adjusted  to  evolving  threats.  Organizations  adopting  this  mindset  treat  cybersecurity
            governance akin to military strategy, embedding resilience, adaptability, and proactive engagement into
            their compliance and risk management frameworks.



            Comparison with Existing Models

            Zero Trust Architecture (ZTA)

            Zero  Trust  principles,  summarized  as  "never  trust,  always  verify,"  complement  Adversarial  GRC  by
            reinforcing proactive threat management. However, while Zero Trust primarily addresses technical and
            access control mechanisms, Adversarial GRC broadens this lens to governance policies and procedures,
            directly challenging policy robustness against adversarial tactics.

            AI-Driven Security Operations (AI-SOCs)

            AI-SOCs leverage artificial intelligence for real-time threat detection and incident response. In contrast,
            Adversarial GRC operates at the governance layer, focusing on proactive, policy-driven threat mitigation
            and compliance resilience, essentially creating a synergy between operational defense and strategic
            governance.

            GRC Automation and Continuous Compliance

            Automated GRC processes streamline compliance but typically focus on efficiency. Adversarial GRC
            enhances  this  by  embedding  adversarial  thinking,  continuously  testing  and  adapting  compliance
            frameworks to anticipate and counteract innovative threats proactively.






            Cyber Defense eMagazine – September 2025 Edition                                                                                                                                                                                                          58
            Copyright © 2025, Cyber Defense Magazine. All rights reserved worldwide.
   53   54   55   56   57   58   59   60   61   62   63