Fronesis Labs
FRONESIS LABS · AI SECURITY INFRASTRUCTURE
DCL EVALUATOR v1.1.0 · WEBHOOK API LIVE
FRONESIS LABS PRESENTS

Make AI decisions auditable

Cryptographic proof of every LLM output — tamper-evident, policy-verified, regulator-ready. Integrates with any pipeline in 3 lines of code.

Tested on 1000+ runs 0 false positives in EU AI Act checks 100% deterministic
⚡ TRY IN 30 SECONDS ↓ DOWNLOAD FREE ⭐ VIEW ON GITHUB
DCL EVALUATOR · AUDIT LOG
// evaluating agent output against EU AI Act policy
policy EU AI Act High-Risk Transparency v1.0.0
input 0x4f2a9c1d...
 
// running deterministic checks...
forbidden no matches
required all present
confidence 94%
 
DECISION ✓ COMMIT
tx_hash 0x38bdf8a2c94e1f07
drift NORMAL · Z=0.42

No install required.
Paste your LLM output. Get proof.

DCL Webhook API is live. Any pipeline can get tamper-evident audit proof in 3 lines of code — no desktop required.

3-LINE INTEGRATION
import httpx
 
result = httpx.post("https://successful-energy-production-c2ee.up.railway.app/evaluate", json={
"response": llm_output,
"policy": "eu_ai_act"
}).json()
 
if result["verdict"] == "NO_COMMIT":
raise PolicyViolationError(result)
RESPONSE · INSTANT
{
"verdict": "COMMIT",
"confidence": 0.94,
"tx_hash": "0x38bdf8a2c94e1f07...",
"chain_index": 142,
"drift_mode": "NORMAL"
}
OPEN API DOCS → CHECK STATUS
BUILT-IN POLICIES: default eu_ai_act gdpr finance anti_jailbreak + custom YAML
⚠ PROBLEM

LLM outputs are nondeterministic and hard to audit.

You can't prove what your AI said, when it said it, or whether the record was tampered with. Regulators are starting to ask.

✓ SOLUTION

DCL verifies outputs against deterministic policies.

Every decision gets a cryptographic hash, chained to the previous one. Tamper with any record — the entire chain invalidates.

⬡ ARCHITECTURE
LLM output
DCL policy engine
verification
audit log (hash chain)
export: JSON / PDF / CEF
Built-in policy templates for major frameworks
DEFAULT EU AI ACT GDPR FINANCE MEDICAL RED TEAM
CORE CAPABILITIES

Every decision.
Cryptographically sealed.

DCL Evaluator brings deterministic, bit-for-bit reproducible verification to AI agent outputs — something probabilistic LLM filters simply cannot provide.

🔗

HASH CHAIN INTEGRITY

Every evaluation is chained with SHA-256. Modify any past record and the entire chain invalidates — tamper-evident by design.

DETERMINISTIC ENGINE

Identical input + policy = identical decision. 100% reproducible on 1000+ runs. Unlike LLM-based guardrails, DCL never surprises you.

📊

DRIFT MONITOR

Statistical Z-test detects behavioral drift before it becomes a compliance failure. Four escalation modes: NORMAL → WARNING → ESCALATION → BLOCK.

🤖

MULTI-AGENT SUPPORT

Connect Ollama (local, private), Claude, GPT-4, Grok, DeepSeek, or Gemini. Evaluate any LLM output against your policies.

📄

COMPLIANCE REPORTS

Export tamper-evident PDF reports with integrity hashes, executive summary, and full audit trail. Ready for regulators.

🔒

100% LOCAL OPTION

Run fully offline with Ollama. Zero data leaves your machine. Critical for regulated industries where privacy is non-negotiable.

SUPPORTED MODELS & PROVIDERS
OpenAI
Anthropic
Google Gemini
xAI Grok
Ollama (local)
DeepSeek
+ any OpenAI-compatible API

Four-stage commitment cycle

Inspired by DCL architecture: every AI action passes through Intent → Commit → Execute → Verify.

01

DEFINE YOUR POLICY

Write a YAML policy with forbidden patterns, required patterns, and confidence thresholds. Or load one of 6 built-in templates: Anti-Jailbreak, EU AI Act, GDPR, Finance, Medical, Red Team.

02

CONNECT YOUR AGENT

Point DCL Evaluator at any OpenAI-compatible API endpoint — Ollama locally, or Claude / GPT / Grok / DeepSeek / Gemini in the cloud. Your keys, your control.

03

EVALUATE & COMMIT

Every output is evaluated deterministically. COMMIT or NO_COMMIT decision is produced with confidence score, reason, and cryptographic transaction hash.

04

AUDIT & EXPORT

Full audit trail with tamper-evident hash chain. Export CSV, JSON, or tamper-evident PDF report with integrity hash for regulators and stakeholders.

Real-world audit scenarios

FINTECH · AML COMPLIANCE

Caught drift before audit

AML screening agent started lowering confidence scores over 40 iterations. DriftMonitor triggered ESCALATION on run 38 — before the quarterly compliance audit. Tamper-evident PDF exported for regulators.

Policy: finance · Verdict: ESCALATION caught · Export: PDF
HEALTHCARE · HIPAA TRAIL

Tamper-evident trail for medical review

Medical records review agent evaluated against HIPAA policy. Every decision cryptographically chained — any post-hoc modification instantly detectable. Full audit trail exported for compliance officer review.

Policy: medical · Verdict: COMMIT · Chain: intact
PRICING

Start free.
Scale when ready.

One-time annual license. No subscriptions, no seat fees, no usage limits. Yours to use offline.

FREE
$0
forever
  • 6 built-in policy templates
  • Local mode (Ollama only)
  • 20 audit records
  • CSV / JSON export
  • Basic DriftMonitor
  • Cloud agents
  • PDF reports
  • Unlimited audit trail
DOWNLOAD FREE
ENTERPRISE
$499+
per year · custom quote
  • Everything in Pro
  • Team audit logs
  • White-label / branding
  • Priority support
  • Custom policy templates
  • CI/CD integration
  • On-prem deployment
  • Consulting hours
CONTACT US →
PAYMENT
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Get DCL Evaluator

Free to download. No account required. Works offline.

v1.1.0 · Fronesis Labs

Get in touch

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enterprise@fronesislabs.com
Custom plans, on-prem, consulting
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SUPPORT
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From the Lab

HABR · ARTICLE
How we built cryptographic audit trails for AI agents
habr.com · DariRinch · 10 bookmarks
ALL PUBLICATIONS ON HABR →