Invarra
We build Phalanx: deterministic instruction control for LLM applications.
Invarra turns instruction-control research into one deployable product for English written-text boundaries. Phalanx governs direct jailbreaks, contains typed indirect prompt injection, and enforces authorization at protected outputs and actions.
Phalanx runtime
Deterministic decision path
01
Written turn
02
Evidence
03
Action gate
04
Receipt
Decision
Pass, hold, or block
Company thesis
Capability is not authority.
LLMs are designed to follow instructions, including instructions that arrive through the wrong channel. A secure application needs an explicit control boundary around what may direct the model and what may cause an external effect.
Phalanx combines specialist learned evidence with deterministic state, provenance, permits, protected sinks, and final Wall enforcement. The product is self-hostable and does not itself send customer text outside the customer environment.
Today we support tightly scoped founding deployment pilots. We do not claim universal model safety, general moderation, multimodal protection, or coverage for applications that flatten every source into one trusted text blob.
Operating standard
One product, one evidence discipline.
- 01Bounded claimsEvery claim names the tested surface, artifact, protocol, and limitation.
- 02Deterministic actionThe control layer does not ask a generative model to improvise the runtime security decision.
- 03Protected authorityTrusted hosts assign provenance; untrusted content cannot promote itself.
- 04Inspectable releasesSigned artifacts, redacted evidence, health checks, and rollback keep the deployed identity visible.
Founder
Sergio Valencia
Sergio works across applied research and deterministic AI control, with a focus on security products that can be tested, operated, challenged, and rolled back.