Sovereign Security Substrate for Agentic AI

Make AI Agents Deterministic.
Make Them Safe.

Eichen-AI monitors semantic drift, enforces invariants on model-tool interactions, and provides adversarial safety proofs -- so your agentic systems behave exactly as intended.

99.85%Safety Coverage
<2msGuard Latency
ZeroUndetected Drifts
2,048+Fuzz Vectors / Run
eichen.guard.ts
import { defineGuard } from '@eichen/core'

export const transferGuard = defineGuard({
  name: 'no-negative-transfers',
  invariant: (ctx) => ctx.amount > 0,
  on_violation: 'halt',
  audit: true
})
Critical Problem

Semantic Drift & The Hallucination Wall

In agentic AI, documentation is executable logic. When code changes create ambiguities, agents misinterpret intent -- producing undetected failures that compound across every interaction.

{ }

Code

Deterministic

if (amount < 0) throw Error

Your code has clear, unambiguous intent. It enforces rules deterministically at the application layer.

#

Schema

Syntactic Only

amount: number

But schemas only define types -- not semantic boundaries. There is no constraint against negative values at the schema level.

Outcome

Silent Failure

Agent infers -$150 = "reversal"

Agents fill the gap with probabilistic reasoning, inferring that a negative transfer is a "reversal." Failures go undetected and compound.

Eichen-AI monitors the semantic layer -- bridging probabilistic models to reproducible, verifiable actions.

Core Capabilities

Three Layers of Defense

Eichen-AI is a sovereign security substrate starting with MCP but protocol-agnostic. It enforces deterministic invariants on model-tool and agent-agent interactions.

Flight Recorder

Golden Traces for Intent Preservation

CLI and proxy record every model-tool interaction as a Golden Trace. Replay, diff, and share via Git to ensure agent intent is preserved across deployments and model updates.

  • Automatic interaction capture
  • Intent graph generation
  • Git-native trace sharing
  • Deployment-safe replays
terminal
$ eichen record --trace golden

  Capturing session s_29xk4...
  ✓ 47 interactions recorded
  ✓ Intent graph generated
  ✓ Trace: ei_tr_8f3k2a9...
  
  Ready to commit.
Invariant Guard

Zero-Entropy Policy Enforcement

A Policy Enforcement Point (PEP) evaluates every agent action against your deterministic invariants in real time. Violations are halted before they reach execution -- no exceptions.

  • Sub-2ms evaluation latency
  • Composable guard policies
  • Automatic halt & rollback
  • Full audit trail per action
terminal
guard: transferGuard
  
  evaluating ctx.amount = -150
  ✗ invariant: amount > 0  FAILED
  → action: HALT
  → rollback: initiated
  → audit: ei_aud_k2m8...
Adversarial Scanner

Red Team Fuzzing with Safety Proofs

Automatically fuzz your tool surfaces with RLATP-generated hostile inputs. The scanner produces formal safety proofs and coverage reports for every tool in your agent stack.

  • RLATP-driven hostile payloads
  • Formal safety proof generation
  • Coverage reports per tool surface
  • CI/CD integration ready
terminal
$ eichen scan --mode adversarial

  Generating hostile inputs...
  ✓ 2,048 vectors dispatched
  ✗ 3 invariant violations found
  ✓ Proof: 99.85% surface coverage
  
  Report: ei_rpt_m4n7...
MCP Improvement Engine

Smarter Resources, Safer Agents

Beyond monitoring, Eichen-AI proactively suggests improvements to your MCP resources and AI documentation. Better descriptions lead to better agent grounding -- reducing hallucination at its source.

73%

reduction in agent misinterpretation after applying Eichen suggestions

4.2x

faster onboarding for new MCP tool integrations

Documentation Analysis

Eichen-AI scans your MCP resource descriptions, tool schemas, and prompt templates to identify ambiguities that could cause agent misinterpretation. It surfaces concrete suggestions for clearer, more deterministic documentation.

Schema Strengthening

Automatically detect weak type definitions, missing constraints, and ambiguous parameter descriptions in your MCP tool schemas. Receive actionable recommendations that eliminate semantic gaps before agents encounter them.

Prompt & Resource Refinement

Analyze prompt templates and resource descriptions for patterns that trigger hallucination or drift. Get suggestions to tighten language, add boundary conditions, and improve agent grounding across your entire MCP configuration.

eichen suggest
$ eichen suggest --scope mcp

  Analyzing 12 MCP resources...
  
  [tool:transfer] description lacks boundary
  → Suggestion: Add "amount must be > 0"
  
  [resource:account] missing enum constraint
  → Suggestion: Restrict status to enum

  [prompt:summary] ambiguous grounding
  → Suggestion: Add output format spec

  ✓ 3 suggestions generated
  ✓ Report: ei_sug_n8p2...

Why Eichen-AI?

Built for every layer of your organization -- from the engineers building agent systems to the executives accountable for their behavior.

For Engineers

Debug with confidence

  • Detect tool poisoning in model-tool interfaces
  • Shift from runtime guesswork to formal verification
  • Replay and diff Golden Traces to pinpoint agent failures
  • Integrate guards into existing CI/CD pipelines

For Teams

Collaborate securely

  • Share traces via Git for collaborative debugging
  • Secure multi-protocol workflows across agent boundaries
  • Unified observability for distributed agent systems
  • Role-based access to audit trails and kill switches

For CISOs

Govern with proof

  • Verifiable audit trails for every agent action
  • Kill switches for immediate threat containment
  • Compliance-ready for EU AI Act and emerging regulations
  • Formal safety proofs for board-level reporting
Security Principles

Built on Trust, Proven by Proof

Eichen-AI is not another observability layer. It is a security substrate that treats every agent interaction as a potential threat surface.

Zero Trust by Default

Every agent action is evaluated against invariants before execution. Nothing is implicitly trusted -- every interaction must pass through the Eichen policy layer.

Full Transparency

Every decision, every guard evaluation, every trace is recorded and auditable. No black boxes -- your security posture is always inspectable and verifiable.

Protocol Agnostic

Starting with MCP, but built for any protocol. Eichen-AI adapts to your agent architecture without locking you into a single framework or communication standard.

Sovereign Deployment

Deploy on your infrastructure, under your control. Eichen-AI runs where your agents run -- no data leaves your perimeter unless you explicitly allow it.

Stop guessing.
Start verifying.

Get started with Eichen-AI in minutes. Record your first Golden Trace, define invariants, and ship agentic systems you can trust.

Free during early access. No credit card required.