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Apexon and TrustModel.ai team up on continuous AI assurance

Sep. 30, 2026
By AI, Created 13:00 UTC, Sep 30, 2026, AGP -

Apexon has partnered with TrustModel.ai to give enterprises continuous AI assurance and supply-chain risk management, with an early focus on regulated industries such as banking, healthcare and insurance. The deal pairs Apexon’s engineering and governance platforms with TrustModel.ai’s monitoring, trust scoring and independent certification tools.

Why it matters: - Enterprises are moving AI and agentic systems from pilot to production faster, and they need ongoing proof those systems remain trustworthy. - The partnership is aimed at regulated sectors where AI decisions can affect credit, underwriting, claims, clinical workflows and supplier risk. - The model shifts AI oversight from one-time assessments to continuous monitoring, verification and certification.

What happened: - Apexon announced a strategic partnership with TrustModel.ai on Sept. 30, 2026. - The companies will deliver continuous AI assurance and AI supply-chain risk management for enterprise customers. - Apexon will combine its AI, data, digital and quality engineering work with TrustModel.ai’s independent AI Assurance Control Plane. - Apexon also named itself a Wave-1 partner for TrustModel.ai’s AI Supply-Chain Risk Management capability.

The details: - Apexon will extend its AssureAlpha™ and TrustAlpha™ platforms to support assurance for software, AI and agentic systems. - TrustModel.ai will provide continuous monitoring of AI and agent behavior. - TrustModel.ai’s TrustScore offers a live measure of system trust on a 0-to-100 scale. - TrustModel.ai’s TrustCertificate provides independent third-party certification when evidence thresholds are met. - The certification framework covers the EU AI Act, NIST AI RMF, ISO/IEC 42001 and the OWASP LLM Top-10. - The supply-chain capability gives enterprises an outside-in view of AI risk tied to suppliers. - The assessment can begin without integration or supplier consent. - The capability combines supplier AI risk scoring, framework-mapped assessments, independent verification and continuous monitoring. - Apexon plans to bring the supply-chain offering into its AI governance and third-party risk engagements. - Apexon was recently recognized by NASSCOM at the AI Gamechangers 2026 event for its Supply Chain Risk Intelligence solution. - That solution was built for a multinational transportation, logistics and warehousing company.

Between the lines: - The partnership reflects a broader push to make AI governance measurable, auditable and ongoing rather than static. - TrustModel.ai is positioning independence as a core differentiator by assessing AI models and agents without building competing models. - Apexon is using the deal to deepen its presence in regulated industries and in AI risk across enterprise ecosystems.

What's next: - Apexon will market the combined offering to clients in banking, financial services and insurance, healthcare and AI-enabled supply chains. - The companies are likely to focus on deployments where continuous oversight and supplier visibility are required before AI can scale further. - TrustModel.ai’s monitoring and certification model may become part of broader enterprise AI governance programs as customers move from pilots to production.

The bottom line: - The partnership gives enterprises a way to monitor AI trust continuously across both internal systems and supplier ecosystems, not just at deployment.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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