INFORMAZIONI SU QUESTO EPISODIO
In episode 47 of Cybersecurity America, host Joshua Nicholson is joined by Richa Kaul, CEO and Founder of Complyance, to explore how agentic AI and intelligent automation are reshaping enterprise Governance, Risk, and Compliance (GRC).
Richa breaks down why traditional, spreadsheet-driven GRC programs are failing at scale—and how organizations are moving toward real-time risk monitoring, automated evidence collection, and continuous audit readiness. Drawing from her experience as a GRC executive and privacy advocate, she shares how modern GRC teams can reduce manual effort, improve visibility, and position compliance as a true business enabler.
In this conversation, we cover:
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Why legacy GRC models can't keep up with today's threat landscape
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How AI agents streamline audits and compliance operations
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Continuous controls monitoring and real-time risk visibility
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Privacy-first approaches to enterprise AI adoption
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Third-party risk, regulatory change, and AI governance
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What CISOs and GRC leaders should expect heading into 2026
Whether you're a CISO, GRC leader, risk professional, or security executive, this episode offers practical insight into the future of enterprise GRC and AI-driven risk management.
About the Show Sponsor: Darkstack7
Darkstack7 is a cybersecurity and IT management firm based in Charlotte, NC, founded by Joshua R. Nicholson, a Marine Corps veteran and seasoned cybersecurity leader with experience at Northrop Grumman, EY, Wells Fargo, and Booz Allen Hamilton.
The company delivers Fortune 500–level expertise to mid-sized and growing organizations—specializing in Security Engineering, Incident Response, vCISO advisory, Insider Threat programs, and IT Management consulting. Darkstack7 also provides proactive services such as tabletop exercises, cyber readiness assessments, and strategic security architecture, helping organizations build resilient defenses and align technology investments with business objectives. www.darkstack7.com, https://www.linkedin.com/in/joshuarnicholson/
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