Enterprise-grade security.
Governance by design.
Security has been our core focus from day one: protecting your data, framing every agent and keeping a record of everything that happens in your workspace.
AI expands the attack surface.
Every agent that reads, writes and acts on your systems is a new surface to govern. Without a frame, adoption outpaces control.
of organisations have exposed sensitive data to AI.
year-over-year increase in AI-enabled adversaries.
AI agents expected across Fortune 500 companies by 2028.
Govern every interaction between your data and AI, on every surface.
Detect sensitive content across all connected sources, surface it for review and keep over-shared documents from ever reaching an agent.
Choose exactly which folders, channels and objects each source exposes. Nothing else ever enters Scalt.
GDPR, secrets, over-shared documents: switch on the built-in policies or describe your own in plain language.
Every agent, skill and memory is reviewed before publishing: sources, permissions, allowed actions.
Defend against AI-borne threats.
Every prompt, document and answer goes through specialised detection models before it reaches your teams or your systems.
Detection of instruction-hijacking attempts, in prompts as well as in ingested documents and emails.
Filtering of toxic content and off-policy answers, with thresholds adjustable per team.
Every claim is tied to its source. An answer without a verifiable source is flagged, not served.
Personal data never leaves in the clear.
GLiNER models, specialised in zero-shot entity recognition, detect and anonymise personal and sensitive data before any model call, then watch the outputs.
Names, emails, IBANs, social security numbers, addresses, internal IDs: detected with no prior training, including your own entity types.
Entities are replaced by tokens before the model call, then re-hydrated in the answer. The provider never sees the original.
Every agent output is scanned: sensitive data trying to leave its scope is blocked and surfaced in the Inbox.
Guardrails for every agent.
Governance profiles apply different rules per agent, user or team. Write actions are checked before execution to keep every agent within its intended scope.
Allowed sources, permitted actions, thresholds, counterparts: one profile per agent or team, versioned and inherited.
Every impactful action (send, pay, ERP change) goes through the Inbox for human approval before it runs.
Every action, human or agent, is logged with its inputs, sources and model, and exportable to your SIEM.
The basics, without compromise.
AES-256 at rest, TLS 1.3 in transit, per-tenant keys with automatic rotation.
SAML 2.0 and OIDC with Entra ID, Okta, Google. Automatic provisioning, enforceable MFA.
User, builder, admin. Every agent inherits the permissions of the sources it reads.
Dedicated encrypted storage per workspace. No cross-tenant leakage.
Your data trains no model. Systematic ZDR agreements with model providers.
Removed documents purged within 24 h, retention periods configurable per source.
EU AI Act compliant by design.
The regulation demands human oversight, traceability and transparency of AI systems. At Scalt these aren’t options: they are the architecture of Inbox, Cases and governance profiles.
Inbox and Cases enforce human validation on every impactful decision. Art. 14.
Every agent run is logged: inputs, sources, model, output. Art. 12.
Answers cite their sources; agents identify as agents. Art. 13 & 50.
Every agent carries a risk level and its guardrails from creation.
Everything is documented. Just ask.
DPA, sub-processors, processing register, security policy, pentest report: available under NDA for your security and compliance teams.
See Scalt on your data.
Tell us your context in two lines, we’ll build the demo around it.
No SDR, no script.
Bring a real process to automate.
And beta access if it’s a match.