Automated shadow IT discovery, vendor risk assessment, and GDPR governance - from first observation to signed-off Art. 30 register, without sending data anywhere.
Most organisations have two problems: they don't know what SaaS their people are using, and the ones they do know about haven't been properly reviewed. These aren't separate problems - they're the same gap at different stages.
New SaaS tools land on the fleet every week. By the time a new app makes it onto a review list, it already has months of user data.
A vendor that cleared your GDPR review last year may now be owned by an entity in a different country - with different data laws and different CLOUD Act exposure.
Manual records go stale the moment they're filed. DPAs reference subprocessors that have changed. Retention periods don't match what the vendor's privacy policy actually says.
Vendors update their ToS, privacy policy, or subprocessor list unilaterally. You agreed to version 1. You're now bound by version 8. Nobody told your DPO.
DAM closes the loop between what your people are using and what your compliance team has reviewed.
SWG observes every SaaS app across the fleet. New apps are pushed to DAM's triage queue - no manual import, no CSV upload.
DAM probes each vendor automatically - TLS config, hosting geography, SPF, MX, privacy policy, and DPA - and stores the results.
A local LLM reads the fetched privacy policy and DPA to extract retention periods, subprocessors, transfer mechanisms, and breach commitments.
Structured review workflows across the vendor lifecycle - onboarding approval, renewal triggers, DPA re-assessment, offboarding. Art. 30 register built in. Owner assignment with automatic handoff notifications via SCIM when someone leaves.
Manual vendor reviews rely on someone remembering to run them and on the information being current when they do. DAM replaces that with continuous, automated data collection and structured review workflows that surface conclusions, not raw documents.
Nothing leaves your infrastructure. The Ollama LLM runs locally. Probe data is stored in your own database. Allod Solutions has no access to your vendor records.
TLS configuration, hosting geography, SPF and MX records, privacy policy, and DPA - probed and parsed for every vendor on a configurable schedule. A local LLM extracts the data your reviewers actually need: retention periods, subprocessor lists, breach notification timelines, and data transfer mechanisms.
Every vendor is matched against the Global LEI Index - verified legal entity, full ownership chain to ultimate parent, country of ultimate control. When an acquisition moves a vendor's ultimate parent to a new jurisdiction, DAM detects the change and raises a notification before your next review cycle.
DAM fetches the EU consolidated sanctions list daily and checks every vendor and its ultimate parent. A match triggers an immediate notification - you find out before your legal team has to ask.
Configurable review cycles - annual, contract renewal, DPIA - with structured fields and owner assignments. The Art. 30 Records of Processing Activities register is built in. When a system owner leaves the organisation, DAM raises a notification automatically via SCIM integration.
DAM re-fetches privacy policies, DPAs, and ToS on a configurable schedule and compares each version. When content changes - new subprocessors, revised retention periods, altered transfer mechanisms - a notification is raised with a diff so your DPO can decide whether a re-assessment is needed.
ALLOD SWG observes every SaaS application on the fleet. ALLOD DAM ingests those observations and queues unreviewed vendors for triage - automatically, without spreadsheets or manual imports.
Usage-aware scheduling means DAM tracks when each vendor was last seen generating traffic. Apps that go quiet for a configurable window are flagged for offboarding review before contracts renew.
Book a 30-minute demo with our engineering team. We'll walk through shadow IT discovery, vendor assessment, and GDPR workflows end to end.