TaubyteSecurity that's caught before it ships, not after a breach.
Most security incidents trace back to a permission that was too wide, set once, and never revisited. On Taubyte, access is enforced by the compiler. Not a policy document someone has to remember to follow.
Access Checks
compile-time
Enforced on every build
Sandboxed Workloads
100%
No exceptions
Signed Deploys
100%
Every push verified
Access Denials
1,204
Last 7 days -32%
Access Denials Over Time
This month
1,204
Compared
1,780
Audit Events Logged
14,653
Last 7 days +18%
Governance that survives an audit
Compile-time access declarations
Every piece of code declares exactly what it's allowed to touch, checked at compile time.
Sandboxed workloads
No filesystem or raw network access by default, and a hard memory ceiling. One workload's bug or breach can't reach into another's.
Credentials rotate without redeploy
A secret's current value is read fresh on every call.
Signed, verified deploys
Every deploy is triggered by a signed, verified request, and the build runs inside a network-restricted container.
Declared vs. attempted
access:
- target: database
label: orders
verbs: [get, query]
orders.exec(query)
✕ denied. Verb not granted
caught at compile time
Your deployment pipeline is already your audit trail. A deployment is a push. A rollback is a revert.
+ access.allow: [get, put]
- access.allow: [*]
author: a.zaoui · 2m ago
AI agents your infrastructure team can actually govern
An agent is a typed resource, not a side project.
Every organization is under pressure to 'do something with AI agents' right now. Most of that pressure produces unaudited side projects: untracked API keys, no clear owner.
Typed & access-controlled: What an agent can call, touch and do is declared and enforced.
Same audit trail: As a database or a function gets, with no separate shadow-AI risk to track.
MCP Tools
Turn what you've already built into an AI toolset.
Existing functions can be exposed as tools any MCP-speaking AI client can call, turning APIs you already built into an AI toolset instead of rebuilding them.
MCP over Streamable HTTP: Any MCP-speaking client or agent can use your infrastructure as a toolset.
No rebuilding: Group your existing functions and expose them as tools.
Built to survive failure, automatically
Every board asks some version of: what happens when a server dies.
Automatic
Caches, databases, secrets and the deployment record replicate across every node.
Scheduled
Persistent volumes are checkpointed on a schedule you control.
Configurable
A configurable staleness ceiling before it's flagged.
No fire drill
One node going down doesn't take your data with it.
Business processes that retry themselves
Declared once
Multi-step business processes, like a checkout or an onboarding flow, are declared once.
Automatic retry with backoff
Each step retried automatically on failure using configurable backoff.
Dead-letter queue
A step still failing after retries moves to a dedicated queue so a human can pick it up.