Use case
Continuous CVE monitoring for security teams, inside your AI assistant
Give your security team a daily CVE watch that runs inside Claude or ChatGPT: new and critical vulnerabilities, CISA KEV additions, and EPSS movers, from data refreshed every day.
Add the CVE brain to your AI assistant
Most teams learn about a critical vulnerability later than they should, because the signal is spread across mailing lists, vendor advisories, and a scanner that runs on a schedule. The KBrain CVE brain turns the daily watch into something anyone on the team can ask for in plain language, inside the AI assistant they already have open, from data that is refreshed every day.
The problem with the usual CVE watch
- Advisories arrive in a dozen formats across email, RSS, and vendor portals, and someone has to read all of them.
- A generic AI assistant cannot help, because its training data is months old and it will invent details for anything recent.
- Existing CVE tools that expose this data over MCP all require self-hosting: cloning a repo, managing an NVD key, and keeping a process alive.
- The result is that the watch depends on one person remembering to check, rather than being a question anyone can ask.
What a hosted CVE watch looks like
Because the brain is exposed over MCP and refreshed daily, a recurring watch becomes a set of standing questions. Your team can ask them ad hoc, or wire them into a scheduled agent that posts the answer to a channel each morning.
- "What critical CVEs were published in the last 24 hours?"
- "Which CVEs were added to CISA KEV this week?"
- "Any new high or critical CVEs affecting our stack: nginx, PostgreSQL, and OpenSSL?"
- "Show me CVEs from the last 7 days with an EPSS score above 0.5."
The same brain that answers ad hoc questions can be driven by a scheduled agent. A morning job that asks for new KEV entries and criticals, then posts them to Slack, is a few lines around the same MCP tools.
Why teams prefer this to a self-hosted feed
- Zero setup: no repo to clone, no NVD key to rotate, no server to keep online. The brain is hosted and shared with the whole team through one connector.
- Freshness you can cite: every answer carries a last-updated timestamp, so a decision references when the data was current.
- Same knowledge everywhere: the analyst using Claude and the engineer using ChatGPT query the same brain and get the same answer.
- Plain language: the watch is a question, not a query language or a console, so anyone on the team can run it.
For the step-by-step version of the scheduled variant, see the guide on building a CVE monitoring agent. For the ad hoc version, connecting the brain to Claude or ChatGPT is all that is required.
Add the CVE brain to your AI assistant
Look up CVEs, CISA KEV exploited status, and EPSS scores from Claude, ChatGPT, or any MCP compatible assistant. Hosted and refreshed daily, with no self-hosting and no API keys to manage.
Frequently asked questions
Can the whole team share one CVE brain?
Yes. The brain is exposed through a single MCP connector that every team member can add to their own assistant. Everyone queries the same daily-refreshed data, so answers are consistent across the team.
Can I automate a daily CVE digest?
Yes. Because the brain is available over MCP, a scheduled agent can call the same tools each morning, ask for new KEV entries and criticals, and post the result to a channel. The guide on building a CVE monitoring agent walks through it.
Can I filter to the products we actually run?
Yes. Search accepts a keyword, product, or vendor, plus severity and date filters, so you can ask for recent high-severity CVEs affecting the specific software in your stack.
How is this different from a scanner?
A scanner tells you which of your assets are affected. The CVE brain tells you what the vulnerabilities are, whether they are being exploited, and how likely exploitation is, in plain language inside your assistant. The two are complementary: the brain helps you understand and prioritize what a scanner surfaces.