Paramify + AI: A Faster, More Accurate Ontology-Based Approach

Everyone is throwing around AI, but what makes Paramify’s approach to AI more effective? 

The result? Unmatched accuracy and speed creating your documentation.

You can focus on building your risk management strategy with our unique Risk Management-first approach.  Map your people, processes, and technologies to their corresponding security capabilities (Risk Solutions) in just minutes. Easily iterate with our ontology-driven platform, keeping your compliance agile and audit ready as your organization evolves.

You'll get reliable, accurate outputs and significantly shorter time to value compared to traditional methods.

AI Built on Ontology, Not Hallucinations

Founder of prominent AI company believes in the Paramify approach

xAI found Paramify's compliance platform to be a "no brainer" solution for their compliance project. 

After seeing Paramify’s Risk management-first approach, powered by accurate ontology, they saw it as the best solution to power accurate AI results.

Paramify’s commitment to privacy with AI 

Our internal AI offerings for generating custom control responses are hosted by us and always optional. 

Your data is not sent to any third party and is not used for training.

How Paramify is Using AI:

Generate Tailored Risk Solutions: 

From an SSP Appendix A import, leverage Paramify’s standard library and many-to-many control mapping to generate accurate, audit-ready responses.

Generate Elements from Existing SSP:

Import existing SSP and leverage AI to identify elements that need to be created and mentioned in your control responses (whether that’s custom responses or Risk Solutions)

MCP Server: 

Connect the LLM and agents of your choice to power issue management and manage your control responses, risk solutions, evidence (the entire Paramify ontology) — all in one place to improve operational efficiency.

AI and Data Use – Frequently Asked Questions

1. What AI model is used and how is it trained?
   Paramify uses an off-the-shelf Llama model trained on public, non-client data like FedRAMP documentation.

2. Is client data used to train the AI?
   No. Client data is never used to train or fine-tune the model.

3. Who owns the content generated by the AI?
   Clients retain full ownership of all content generated within their workspace by Paramify tools including AI.

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