Tag: Coverbase

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Innovation in Compliance

Innovation in Compliance: Why Coverbase, Why Now: Native AI Speed and Evidence-Driven Third-Party Risk Management

Innovation comes in many areas, and compliance professionals need to not only be ready for it but embrace it. Join Tom Fox, the Voice of Compliance, as he visits with top innovators, thinkers, and creators on the award-winning Innovation in Compliance podcast. In this episode, host Tom welcomes Coverbase newcomers Brian Shaw (GTM leader) and Constantine Malaxos (Head of Alliances) to discuss why they joined in 2026 and what is changing in third-party risk management (TPRM).

They talk about Coverbase’s “native AI” technology, rapid innovation, and client impact—moving teams from document chasing and backlogs to faster, evidence-backed risk decisions—while complementing existing procurement, contract, and risk systems with time-to-value in weeks. They discuss persistent program pressures such as too many third parties, too few analysts, demand for immediate answers, and the need to separate signal from noise using evidence, not questionnaires, to identify gaps against client-specific requirements. Topics include disclosure-driven “need for speed,” SBOM analysis, continuous monitoring for fast-changing AI risks, and advice to run a proof of concept, avoid “AI-ish” tools, choose trusted partners, and start with the highest-friction hotspot.

Key highlights:

  • Why They Joined Coverbase
  • Why TPRM Matters Now
  • Native AI vs AI-ish
  • ROI and Executive Buy-In
  • Disclosures and Risk Visibility
  • Managing Risk Continuously

Resources:

Brian Shaw on LinkedIn

Constantine Malaxos on LinkedIn

Coverbase

 Tom Fox

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My first work of general non-fiction is now out: Deluge Before Dawn, the story of the 2025 flood in Kerr County, Texas, which killed 119 people and devastated a county. It is a story of tragedy, heartbreak, survival, and resilience.

It is available on the following sites:

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Compliance and AI

Compliance and AI: Clarence Chio on how AI Transforms Vendor Risk Into Continuous Evidence

What is the intersection of AI and compliance? What about machine learning? Are you using ChatGPT? These questions are just three of the many we will explore in this cutting-edge podcast series, Compliance and AI, hosted by Tom Fox, the award-winning Voice of Compliance. In this episode, host Tom Fox visits with Clarence Chio, co-founder & CEO of Coverbase.

Chio and Coverbase are helping lead the shift toward AI-driven third-party risk management and vendor security. Drawing on his background in machine learning, security, and compliance, he argues that vendor due diligence is moving beyond slow, human-to-human questionnaire exchanges toward AI agents that can analyze standardized, verified evidence directly. He sees this as the next evolution of trust centers and attestation workflows but cautions that automation should not replace genuine accountability in areas that require human judgment. In his view, the best AI systems will accelerate reviews, flag uncertainty, and escalate gray areas to people rather than hallucinate or blindly accept responses.

Key highlights:

  • AI-Driven Vendor Assurance with Trust MCP
  • 400-Question Vendor Review Paperwork Loop
  • Continuous exposure points in trust centers
  • AI Analyzing Vendor Evidence to Predict Breaches
  • Pristine Questionnaire Answers, Human Judgment in Due Diligence
  • Vendors’ Vulnerabilities Become Your Data Vulnerabilities

Resources:

Coverbase

Clarence Chio on LinkedIn

Tom Fox

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Innovation in Compliance

Innovation in Compliance: Clarence Chio on Rethinking Third-Party Due Diligence in the Age of AI

Innovation comes in many areas, and compliance professionals need to not only be ready for it but also embrace it. Join Tom Fox, the Voice of Compliance, as he visits with top innovative minds, thinkers, and creators in the award-winning Innovation in Compliance podcast. In this episode, host Tom Fox visits with Clarence Chio, co-founder and CEO of Coverbase, about modernizing third-party risk management as AI reshapes vendor due diligence.

Chio describes how traditional onboarding relies on long questionnaires, SOC 2/ISO documentation, and trust centers that streamline document exchange but were built for human-driven workflows. He argues AI makes the process risky and increasingly meaningless because vendors can auto-complete questionnaires convincingly and customers can analyze them with AI, eroding the value of nuance and attestation. Chio contrasts static, point-in-time evidence with the need for dynamic, continuous security evidence, noting software changes faster than annual assessments and third-party software frequently appears in breach chains. He proposes moving from check-the-box questionnaires to first-principles risk validation, including continuous information sharing, deeper technical evidence, and machine-readable artifacts such as SBOMs. He highlights Coverbase’s open-source Trust MCP, which provides scoped, standardized access to verified vendor evidence for an agent-driven future.

Key highlights:

  • Why Coverbase Exists
  • Trust Centers Explained
  • AI Makes Due Diligence Risky
  • Attestation and Human Loop
  • Static vs. Dynamic Evidence
  • Machine-Readable Trust Future

Resources:

Coverbase

Clarence Chio on LinkedIn

Innovation in Compliance was recently honored as the Number 4 podcast in Risk Management by 1,000,000 Podcasts