Credencev1.0.0

A company's IT security team uses Credence to vet third-party AI tools before procurement, ensuring compliance with security policies and reducing supply chain risks. It helps automate the initial trust assessment, saving time on manual reviews.

Developers building MCP servers integrate Credence checks into their CI/CD pipelines to validate their own tools before release, ensuring they meet security standards. This builds user trust and prevents distribution of vulnerable code.

Researchers studying AI tool ecosystems use Credence to analyze trust scores across different tools, identifying trends in security and behavioral risks. It provides data for studies on AI safety and provenance verification.

A freelance consultant advising clients on AI tool adoption uses Credence to quickly assess and recommend safe MCP servers, enhancing service credibility. It helps avoid recommending tools with low trust scores that could harm client systems.

Offer basic Credence checks for free to build a user base, then charge for premium features like detailed attestation reports, API access, or custom scanning. Revenue comes from subscriptions and enterprise licenses.

Partner with AI platforms and development tools to embed Credence checks directly into their workflows, earning revenue through referral fees or revenue-sharing agreements. This expands reach and provides value-added services.

Provide paid security auditing services for organizations that want deeper analysis beyond the automated scores, such as custom risk assessments or compliance certifications. This targets enterprises with strict security needs.