Security teams are not lacking data. They are lacking a shared context.
A modern vulnerability program produces huge volumes of findings every week, and three very different personas are trying to make sense of them. The vulnerability analyst needs to know what to prioritize among millions of findings. The remediation owner needs to know why their queue suddenly grew and how to fix it. The CISO needs to know how the program is performing and where the real exposure is hiding.
Today, each of them gets a different view of the same problem, stitching the data manually. The analyst lives in dashboards. The remediation owner lives in tickets. The CISO lives in a slide deck someone built the night before the board meeting. Every translation step between them loses context.
From siloed views to shared exposure intelligence
Today, we are introducing Security Exposure 360 — an AI-powered capability inside Vulnerability Response that lets personas on the Vulnerability Response program ask questions in plain language and get an answer grounded in their own ServiceNow data that they have access to.
Instead of three personas working from three different artifacts, the analyst, the remediation owner, and the CISO ask for the same system, in their own words, at their own level, and each receives a response shaped for the decision they need to make.
A few examples, by persona:
For the vulnerability analyst, who needs to prioritize:
1. What's my most vulnerable application
2. What vulnerabilities do I have that are impacting software that is end of life
For the remediation owner, who needs to act:
1. What’s my top priority to fix for the week?
2. Why do I need to do to fix this vulnerability
3. How have we fixed similar vulnerabilities in the past
For the CISO, who needs to lead and oversee the efficiency of the program:
1. What does my security exposure look like today
2. How has my exposure changed in the last 30 days
3. What were the most significant changes to my risk this week, and why
Why the answers are grounded: the Knowledge Graph at work
What makes Security Exposure 360 different from a generic AI assistant bolted onto a vulnerability list is what it has access to and how it knows what to look at.
Every ServiceNow instance has a built-in map of itself: the Enterprise Knowledge Graph. The graph knows what every table contains, what every field means, and how tables connect to each other — your assets connect to your vulnerabilities, your vulnerabilities connect to your business services, your business services connect to your change records, and your change records connect to the people who fixed them. Security Exposure 360 reads from this graph the moment a question arrives.
The tools used by the agent gives it three things a generic AI tool can't do:
1. It picks the right place to look. When you ask, "What's my most vulnerable application?" Security Exposure 360 doesn't run a fixed query. It uses the Knowledge Graph to semantically identify which tables hold applications, which hold vulnerabilities, and how the two are joined in your environment. The system is pre-taught the vocabulary of vulnerability response, so when you say "asset," "application," or "service," it knows where to look.
2. It traverses across tables the way an analyst would. "Which vulnerabilities are on my PCI-tagged assets owned by the payments team that have been reintroduced in the last 30 days?" To answer this question, the data doesn’t live in only one table. It's five or six tables joined together. Security Exposure 360 walks those tables automatically; it has the ability to harness built-in primitive tools to dynamically create purpose-specific data retrievers on-the-fly. You don't have to know the schema. You don't have to write the query. The graph does the routing.
3. It reaches outside when your data isn't enough. When the question depends on context that lives outside your instance — a brand-new CVE on the KEV list, a published proof-of-concept, a vendor advisory, a regulatory update — Security Exposure 360 supplements with a live web search and grounds its answer in both your internal data and the external context. You get an answer that's current to the world, not just to your instance.
Tuning the Knowledge Graph to your environment
The Knowledge Graph ships pre-taught on the standard ServiceNow data model and the vocabulary of vulnerability response. But every program has its own tables and its own internal language. Security Exposure 360 is built to be tuned to the way your team talks about risk. There are two configuration patterns worth calling out.
1. Bring in your own tables. If your team maintains custom tables that the out-of-the-box data model doesn't capture — a custom exception register, a regulatory mapping, a third-party risk index — you can register them with the Knowledge Graph and make them query table through Security Exposure 360. Once registered, the agent traverses them the same way it traverses CMDB or vulnerability records: deciding when to read from them, how to join them to other data, and what the records mean. New table, new question shape, no model retraining required — the same natural-language interface picks it up.
2. Teach the graph your team's vocabulary. Even on standard tables, the words your team uses every day aren't always what the schema calls them. "Crown jewel" might mean a specific tier of business service. "Owner of record" might map to one specific field. Without context, the AI has to guess. Field-level instructions let an admin tell the agent how to interpret these terms — what fields they refer to, how they relate, and when they apply. This is where you encode the institutional knowledge that today lives in your senior analysts' heads.
The result is an agent that understands not just the ServiceNow data model, but your team's language for it — so the answers come back in the words your people actually use.
Underneath it all, all the record access honors security ACL. If you can't see a record in ServiceNow today, the AI can't see it either. Sensitive data stays gated by the same controls that protect it everywhere else in the platform. The result is an assistant that is reading your live data, traversing your real relationships, supplementing with the outside world when needed, and citing its sources.
Ready to eliminate your security blind spots? Head over to the ServiceNow Store to download Security Exposure 360 and claim your complete view today.
As you get started, we want to hear from you: What exposure questions is your team asking most often right now? Drop your thoughts in the comments below - Your feedback directly shapes what we build next!
