Nullify

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Vault

The context engine
behind every decision.

Onboarding Nullify is like onboarding a new member of your security team. Vault ingests your code, cloud, tickets, messaging and the docs no one reads, and builds one living model of your organisation that every agent reasons over.

A faceted labyrinth seen from above

Security tools see findings. They don't see your business.

A scanner knows a line of code is vulnerable. It doesn't know the service handles payments, that it's internet-facing, that the team who owns it is mid-sprint, or that your policy treats it as critical. A person fills in that context by hand, for every finding. Vault fills it in for you.

Without VaultEvery finding scored the same

Generic CVSS, no idea what the asset does or who owns it.

With VaultEvery finding scored against your world

Impact, reachability, ownership and policy resolved before anyone looks.

How it works

From Scattered Context to One Ontology

Vault connects to the systems you already run, resolves them into a single graph of workloads, teams, data and policy, and keeps it current as your organisation changes.

01 · ConnectRead what you already have
GitHubGitLabAWSGCPAzureJiraSlackConfluenceNotionBug bounty
02 · ResolveBuild the ontology
workloadsteams & ownersdata sensitivityinternet exposurepolicy & SLAsthreat actors
03 · ReasonInform every agent
Triage scores impact
Exploits pick the reachable path
Campaigns route to the right owner
What Vault knows

Four Kinds of Context, One Model

Each one answers a question a security engineer would otherwise answer by hand.

Repo contextCan data reach the sink?

Source-to-sink data flow across services, so a finding is only urgent if attacker-controlled input actually gets there.

GitHub · GitLab · Bitbucket
Cloud contextIs it reachable from the internet?

Load balancers, gateways and security groups mapped to workloads, so exploits follow paths an attacker could really take.

AWS · GCP · Azure
Business contextHow much does it matter here?

Data sensitivity, workload criticality and policy read from your docs, so impact reflects your business, not a generic score.

Confluence · Notion · policies
Team contextWho owns it, and who has capacity?

Ownership, review load and sprint capacity, so fixes go to the engineer who can actually merge them.

Jira · Slack · org chart
In practice

The same bug is never the same risk

Two identical SQL injections, scored by what Vault knows about where each one lives.

internal-reporting · SQL injection
exposure · VPN only
data · aggregate metrics
policy · internal tooling, 30-day SLA
Scored low · scheduled
payments-api · SQL injection
exposure · internet-facing
data · cardholder PII
policy · PCI scope, 48-hour SLA
Scored critical · routed to @priya-k
Trust

Your Context Stays Yours

Vault exists to make decisions about your organisation, so it's built to be scoped, auditable and yours to control.

Least-privilege access

Read-only connections, scoped to the systems you choose.

Every decision traceable

Each score and route links back to the context it used.

Never used to train

Your code and documents are not used to train shared models.

Questions Security Teams Ask First

What does Vault connect to?

Source control, cloud accounts, ticketing, messaging, documentation and bug bounty programs. You choose which systems and which scopes.

How long does it take to build?

Vault starts building its model as soon as access is connected, and keeps it current as code, infrastructure and teams change.

Can we correct what it knows?

Yes. Ownership, criticality and policy can be reviewed and overridden, and every agent uses the corrected context from then on.

Context, not noise

See What Vault Knows About You

Book a demo and watch Vault score your own findings against your own organisation.