Live across 2,400+ production environments
PRODUCT1,200+ tests run against your cloud, identity, code, endpoints, data, and vendors every fifteen minutes, not every fifteen months. Drift becomes a ticket the same shift it happens.
Detection is continuous, fingerprinting is mechanical, notification is targeted, resolution lives where engineers already work. The loop runs whether or not your auditors are looking.
Native APIs against AWS, Okta, GitHub, Datadog, Kandji, Snowflake 140+ in total. Polled on a 15-minute cadence; event-driven where the source supports it.
Each result is a typed object control, resource, owner, severity, evidence hash. Mapped at write-time to every framework you’ve enabled, with a diff against last passing state.
Routed by ownership, not by Slack channel. Page-worthy goes to PagerDuty with the diff inlined; everything else lands as a thread in #sec-drift with rollback attached.
Suggested rollback as Terraform / IAM JSON. Open a PR from the alert; the next check confirms green. The audit trail: alert → owner → PR → green.
Every test is open-source, versioned, and parameterized to your environment. Disable what doesn’t apply. Author your own with a few lines of Python the same SDK we use internally.
Each test is an executable assertion against a typed API surface not a screenshot review. The catalog ships with 1,247 of them, organized by surface, and the source is on GitHub.
15-minute cadence, with event-driven hooks for AWS, Okta, GitHub, Datadog
Severity calibrated by your CISO, not a default that flags everything
Write your own uproot.test() with full type hints and a local runner
When a control turns red, the alert contains the resource, the diff against last passing state, the named owner, and a one-click rollback. No swivel-chair between Slack, AWS, Terraform, and the audit tool.
Routing by ownership graph Terraform, CODEOWNERS, Okta groups
Severity-aware: page-worthy → PagerDuty; the rest → Slack thread with rollback
Auto-snooze with audit trail when a change is intentional and already in a PR
Suggested rollbacks ship as Terraform, IAM JSON, or a Kandji blueprint whatever your environment speaks. uproot fix applies them locally with a dry-run; the next monitoring tick confirms green, and the audit trail closes itself.
Generated remediation, reviewable as code not a black-box auto-fix
Local CLI with offline mode, plus a GitHub App that opens scoped PRs
Verifies on the next check; reverts itself if the result doesn't go green
Every surface speaks to the same posture model. A new control written against one of them lights up every framework that references it.
IAM, networking, storage, key management, logging read straight from AWS, GCP, and Azure control planes.
Who can do what, on which system, with what factor. Joiners, movers, leavers observed continuously from your IdP.
Branch protections, signed commits, secrets in CI, dependency posture measured at every push and merge.
Disk encryption, OS patch state, EDR posture, browser baseline read from your MDM and EDR, not a quarterly survey.
Where the sensitive data lives, who can touch it, and whether the access pattern matches the classification you declared.
Every third party is a control surface. DPAs, SOC 2 freshness, breach disclosures, and account hygiene tracked, not screenshotted.
When we evaluated our options for compliance and securing our systems, we found that UprootSecurity's compliance and security model aligned perfectly with our needs. It gave our team real-time visibility into the end-to-end process, saving our engineers hundreds of hours of manual effort.
If the answer here is incomplete, our solutions engineers will pair on your environment over a shared terminal no slide decks.
No and we won’t let it happen. Severity is calibrated to your environment during onboarding, drifts are deduplicated against open incidents, and intentional changes auto-snooze when matched to an open PR. The median customer fields about 2.3 Slack notifications a day; pages are rarer.
Through a scoped, read-only role per provider, assumed via short-lived credentials and rotated on a schedule you control. No long-lived keys. The agent is open-source and runs in your VPC if you prefer self-hosted.
Yes the same SDK we use internally is exposed as uproot.test(). A test is a Python function with full type hints; run it locally with uproot run my_test.py before publishing to your org’s catalog. Vendored tests stay versioned and updatable.
Every monitor has an "intent" surface declare an exception in code with a TTL and rationale, and Uproot keeps the alert quiet until expiry, then re-evaluates. Auditors see the exception trail, not a noisy paging history.
Uproot is a posture and compliance layer. It ingests signals from those tools (alert configs, vulnerability state, IDS findings) and adds the controls and evidence layer on top. We don’t replace your SIEM we keep the controls it depends on continuously verified.
Connect AWS, Okta, and GitHub from your terminal. The monitor starts on the first sync you’ll see drift before the trial sign-up email lands.
Five minutes to first signal
Run uproot init. No card. No sales call.
Read-only, scoped credentials
Short-lived role per provider, rotated automatically.
Self-host the agent
In your VPC if regulatory boundaries require it. Same product.
Migrate from Vanta or Drata overnight
Existing controls and evidence import cryptographically intact.
