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VIDEO

Introducing PlexTrac-Enabled MCP: Bring Your Own AI

What if your security data could answer you back instantly and with full context?

With PlexTrac MCP, you can connect your preferred AI tools (like Claude, Chat GPT, Copilot, Cursor, and Gemini ) directly to your PlexTrac data and start querying your findings in real time!

This demo shows how PlexTrac’s MCP Server gives AI secure, read-only access to live findings, assets, and risk data; eliminating the need for exports, spreadsheets, and manual analysis. Ask a question, and immediately generate dashboards, executive-ready summaries, prioritized remediation plans and more, all based on real-time data.

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Series: PlexTrac Demos

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Transcript

[Music]
PlexTrac MCP allows you to connect to your favorite popular LLMs like Claude, Chat GPT, Copilot, Cursor, and Gemini to your PlexTrac instance, allowing you to pull read-only information from those instances.

This will be based off the authorization you have access to. So depending on what profiles you have access to will also determine what you’re able to pull into MCP. With this we’ll have a number of tools available that you’ll be able to leverage to pull different information from PlexTrac to include profile list information about the different reports and findings, as well as, analytical information.

This allows you to essentially use your favorite LLM to query PlexTrac’s data pool and then utilize that raw data to contextualize it into different views and outputs to make your life easier.

Those outputs could be things like I have here where I’m asking it, hey, what are all the critical report findings associated with my accounting department? Turn that into an executive dashboard that breaks down that information into highlightable areas. What I get back from Claude in this instance is a breakdown of the open criticals, the timing of when those were open, the various categories of what they pertain to, and I also asked it to consolidate it recommended remediation actions across those. This makes for a great executive summary view that we can then clip from claude and paste directly into our reports within PlexTrac or utilize in some other form or fashion to create other extensible outputs.

Other things that we can do with that is I can ask it to dig into a specific vulnerability. So let’s see, we will ask it to look at this CVE. “dive deeper into the CVE provide detailed remediation recommendations and timelines. Also provide any general resource requirements that there might be”

[Results displayed on screen]

So we can see it is now building up more of that dashboard look specific to the CVE I’ve asked about. It shows us how many instances of it exists across our various reports, which assets are specifically affected by it as well as breaking down who might have ownership of corrective actions in those previously mentioned reports and it is going through and building us a remediation plan. Now obviously this information can be copied into our PlexTrac instance especially for that specific finding or we might even utilize it in our priorities section where we create a priority specifically around this one CVE instance especially if it was very prominent and be able to list out the steps we expect everyone to take.

Yeah, as we can see there, there was also a help generator remediation report. So, I can click on that and it’s going to go through that. One other nice thing about the MCP is once the connector is in place, we will be providing some pre-built prompts that you can utilize to get the most out of the data that it will have access to. So, this will allow you to say, “Hey, create a dashboard for me for SOC. Maybe list the top 10 vulnerabilities via the dashboard. create a remediation. So this one’s create a remediation progress dashboard showing closure and it will ask you ahead of time, hey, which clients do you want to utilize this for? That way you’re not trying to pull everything at once. So this is just to show you some examples of what you can do with the MCP. Again, it is going to be a read-only from the PlexTrac platform. So we will be able to provide all the raw data that you have in your platform to your favorite LLM and then you can utilize it to provide contextualized prompting for dashboarding, analytics, assisting with narrative writing for remediation, recommendations, narratives, etc.