🔥 $2 Trillion Gone. Zero Verifiable Audit Trails.
On March 24, 2026, AWS reported plans to replace its own technical specialists with AI agents. Anthropic announced Claude could directly control Mac desktops. Within hours:
- HubSpot: -9.2%
- UiPath: -8.7%
- Atlassian: -8.4% (touching -9.5% intraday)
- Salesforce: -5.8% to -6.5%
- IGV ETF: -4.4%, closing at ~$81 (~23% YTD)
This was Phase 3 of the "SaaSpocalypse" — a rolling sell-off that has erased roughly $2 trillion in software market cap since January 2026. JPMorgan called it "the largest non-recessionary 12-month drawdown in over 30 years."
The Phase 2 trigger on February 3 was even more dramatic: Anthropic's Claude Cowork Legal Triage plugin wiped $285 billion in a single 48-hour session. Thomson Reuters lost 16–18% in one day.
Here's the question nobody can answer: which algorithm fired first, what features drove the decision, and can you prove it?
The answer is no. Not with current infrastructure. Because algorithmic trading audit trails are proprietary, mutable, and unverifiable by third parties.
VCP v1.1 — the VeritasChain Protocol — is an open standard designed to fix this. Think of it as a flight recorder for algorithmic trading systems.
This article walks through the architecture, the code, and why it matters now.
📐 VCP v1.1 Architecture: Three Layers of Cryptographic Proof
VCP v1.1 (released December 30, 2025) introduces a clear three-layer integrity architecture. Each layer solves a distinct problem:
┌─────────────────────────────────────────────────────┐
│ │
│ LAYER 3: External Verifiability │
│ ───────────────────────────────── │
│ Purpose: Third-party verification without trust │
│ │
│ Components: │
│ ├─ Digital Signature (Ed25519): REQUIRED │
│ ├─ Timestamp (ISO + int64 ns): REQUIRED │
│ └─ External Anchor (TSA/Blockchain): REQUIRED │
│ │
│ Frequency: 10min (Platinum) / 1hr (Gold) / │
│ 24hr (Silver) │
│ │
├─────────────────────────────────────────────────────┤
│ │
│ LAYER 2: Collection Integrity │
│ ───────────────────────────── │
│ Purpose: Prove completeness of event batches │
│ │
│ Components: │
│ ├─ Merkle Tree (RFC 6962): REQUIRED │
│ ├─ Merkle Root: REQUIRED │
│ └─ Audit Path (verification): REQUIRED │
│ │
├─────────────────────────────────────────────────────┤
│ │
│ LAYER 1: Event Integrity │
│ ──────────────────────── │
│ Purpose: Individual event tamper-evidence │
│ │
│ Components: │
│ ├─ EventHash (SHA-256 of canonical JSON): REQUIRED │
│ └─ PrevHash (chain to prior event): OPTIONAL │
│ │
└─────────────────────────────────────────────────────┘
What Changed from v1.0 → v1.1
Five key changes. The rationale is simple: v1.0 made external anchoring optional for Silver tier, which meant log producers could theoretically modify Merkle Roots before anchoring. v1.1 closes this gap.
# v1.0 → v1.1 Changes
changes:
1_three_layer_architecture:
impact: "Section 6 restructured"
migration: "Documentation only"
2_prevhash_now_optional:
v1_0: "REQUIRED for all tiers"
v1_1: "OPTIONAL for all tiers"
rationale: "Local integrity mechanism; complements but doesn't replace external verifiability"
migration: "None (relaxation)"
3_external_anchor_mandatory:
v1_0: "OPTIONAL (Silver) / RECOMMENDED (Gold) / REQUIRED (Platinum)"
v1_1: "REQUIRED for ALL tiers"
rationale: "'Verify, Don't Trust' requires external proof"
migration: "Silver tier must add daily anchoring"
4_policy_identification:
status: "NEW — REQUIRED for all tiers"
purpose: "Every event declares its conformance tier and registration policy"
5_vcp_xref_dual_logging:
status: "NEW — OPTIONAL extension"
purpose: "Cross-party verification for dispute resolution"
Breaking change note: v1.1 is protocol-compatible / certification-stricter. Existing v1.0 implementations interoperate with v1.1 systems, but may need additional components for v1.1 VC-Certified status.
🏗️ Layer 1: Event Integrity (SHA-256 + RFC 8785)
Every VCP event gets a hash. The hash covers canonicalized JSON (RFC 8785 — JSON Canonicalization Scheme), so identical logical content always produces the same hash regardless of serialization order.
Event Structure
interface VCPEvent {
// Identifiers
event_id: string; // UUIDv7 (time-ordered)
trace_id: string; // UUIDv7 (groups related events)
// Timestamps (dual format)
timestamp_int: string; // Nanoseconds since epoch (STRING — avoids JS 2^53 limit)
timestamp_iso: string; // ISO 8601
// Event Classification
event_type: string; // SIG | ORD | ACK | REJ | EXE | CXL | CLS | MOD | PRT
event_type_code: number; // 1-10
// Context
symbol: string; // e.g., "XAUUSD"
venue_id: string;
account_id: string; // Pseudonymized for GDPR
// Payload (module-specific)
payload: {
trade_data?: VcpTradePayload;
vcp_risk?: VcpRiskPayload;
vcp_gov?: VcpGovPayload;
};
// Security (computed)
event_hash: string; // SHA-256 of canonical JSON
prev_hash?: string; // OPTIONAL in v1.1
}
Computing EventHash (Python)
import hashlib
import json
import uuid
def compute_event_hash(event: dict) -> str:
"""
Compute VCP EventHash using RFC 8785 JSON Canonicalization.
The canonical form ensures identical logical content
always produces the same hash, regardless of key ordering
or whitespace in the original JSON.
"""
# Remove computed fields before hashing
hashable = {k: v for k, v in event.items()
if k not in ('event_hash', 'prev_hash', 'signature')}
# RFC 8785: sorted keys, no whitespace, deterministic floats
canonical = json.dumps(
hashable,
sort_keys=True,
separators=(',', ':'),
ensure_ascii=False
)
return hashlib.sha256(canonical.encode('utf-8')).hexdigest()
# Example: A SIG (Signal Generated) event from the SaaSpocalypse
event = {
"event_id": "01936a2b-8c4d-7f00-9123-456789abcdef",
"trace_id": "01936a2b-8c4d-7f00-8000-aabbccddeeff",
"timestamp_int": "1742860800123000000", # 2026-03-24T16:00:00.123Z in ns
"timestamp_iso": "2026-03-24T16:00:00.123Z",
"event_type": "SIG",
"event_type_code": 1,
"symbol": "CRM", # Salesforce
"venue_id": "NYSE",
"account_id": "ACCT-PSEUDO-42",
"payload": {
"vcp_gov": {
"algo_id": "ALG-SENT-2026-001",
"algo_version": "3.2.1",
"algo_type": "AI_MODEL",
"model_hash": "sha256:a1b2c3d4e5f6...",
"decision_factors": {
"features": [
{"name": "headline_sentiment", "value": "-0.87",
"weight": "0.35", "contribution": "0.42"},
{"name": "options_flow_delta", "value": "-0.62",
"weight": "0.25", "contribution": "0.28"},
{"name": "sector_momentum", "value": "-0.45",
"weight": "0.20", "contribution": "0.18"}
],
"confidence_score": "0.78",
"explainability_method": "SHAP"
},
"risk_classification": "MEDIUM"
}
}
}
event_hash = compute_event_hash(event)
print(f"EventHash: {event_hash}")
# EventHash: 8f2a7b9d1b0c3e4f... (deterministic, reproducible)
Why timestamp_int Is a String
⚠️ This trips people up. JavaScript's Number.MAX_SAFE_INTEGER is 2^53 - 1 = 9007199254740991. A nanosecond timestamp for 2026 is ~1.74 × 10^18 — well beyond safe integer range. Storing as string preserves precision across all languages:
{
"timestamp_int": "1742860800123000000",
"price": "193.42",
"quantity": "10000.00"
}
All financial numeric values are strings in VCP. This avoids IEEE 754 floating-point precision loss in canonical hashing.
🌳 Layer 2: Collection Integrity (RFC 6962 Merkle Trees)
Individual event hashes prove each event wasn't tampered with. But they can't prove completeness — that no events were deleted or omitted. Merkle trees solve this.
VCP uses RFC 6962 (Certificate Transparency) Merkle tree construction:
import hashlib
from typing import List
def merkle_root(leaves: List[bytes]) -> bytes:
"""
Build RFC 6962-compliant Merkle tree and return root.
Leaf hash: SHA256(0x00 || leaf_data)
Branch hash: SHA256(0x01 || left || right)
This prefix scheme prevents second-preimage attacks —
you can't forge a leaf that looks like a branch or vice versa.
"""
if not leaves:
return hashlib.sha256(b'').digest()
# Leaf hashing with 0x00 prefix (RFC 6962 §2.1)
nodes = [hashlib.sha256(b'\x00' + leaf).digest() for leaf in leaves]
# Pad to power of 2 (duplicate last leaf)
while len(nodes) & (len(nodes) - 1):
nodes.append(nodes[-1])
# Build tree bottom-up with 0x01 prefix for branches
while len(nodes) > 1:
nodes = [
hashlib.sha256(b'\x01' + nodes[i] + nodes[i + 1]).digest()
for i in range(0, len(nodes), 2)
]
return nodes[0]
def generate_audit_path(leaves: List[bytes], index: int) -> List[bytes]:
"""
Generate Merkle audit path (inclusion proof) for a specific leaf.
This path allows anyone to verify that a specific event exists
in the batch WITHOUT seeing the other events — critical for
proving completeness to regulators while protecting proprietary
trading strategies.
"""
nodes = [hashlib.sha256(b'\x00' + leaf).digest() for leaf in leaves]
while len(nodes) & (len(nodes) - 1):
nodes.append(nodes[-1])
path = []
while len(nodes) > 1:
if index % 2 == 0:
path.append(nodes[index + 1] if index + 1 < len(nodes) else nodes[index])
else:
path.append(nodes[index - 1])
index //= 2
nodes = [
hashlib.sha256(b'\x01' + nodes[i] + nodes[i + 1]).digest()
for i in range(0, len(nodes), 2)
]
return path
# Example: Batch of 4 trading events from the SaaSpocalypse cascade
event_hashes = [
b"8f2a7b9d...", # SIG: Sell signal generated (CRM)
b"3c4d5e6f...", # ORD: Order submitted to NYSE
b"a1b2c3d4...", # ACK: Order acknowledged
b"7e8f9a0b...", # EXE: Execution at $193.42
]
root = merkle_root(event_hashes)
print(f"Merkle Root: {root.hex()}")
# Generate proof for the SIG event (index 0)
proof = generate_audit_path(event_hashes, 0)
print(f"Audit path length: {len(proof)} nodes")
Verification Without Trust
Here's the key insight: anyone with the Merkle root, the audit path, and a single event hash can verify that event was part of the batch — without seeing any other events:
def verify_inclusion(event_hash: bytes, proof: List[bytes],
root: bytes, index: int) -> bool:
"""
Verify Merkle inclusion proof.
A regulator can verify this event was logged in the batch
without the firm revealing any other events in the batch.
"""
current = hashlib.sha256(b'\x00' + event_hash).digest()
for sibling in proof:
if index % 2 == 0:
current = hashlib.sha256(b'\x01' + current + sibling).digest()
else:
current = hashlib.sha256(b'\x01' + sibling + current).digest()
index //= 2
return current == root
⚓ Layer 3: External Verifiability (Mandatory Anchoring)
This is the biggest change in VCP v1.1: external anchoring is now REQUIRED for all tiers.
In v1.0, Silver tier could skip anchoring. This meant the log producer controlled the entire evidence chain — they could modify Merkle Roots before anyone else saw them. v1.1 closes this by mandating that every tier commits roots to an external, immutable timestamping service.
Anchoring Frequencies by Tier
# VCP v1.1 Conformance Tiers
tiers:
platinum:
target: "HFT / Exchange systems"
clock_sync: PTP_LOCKED # <1µs divergence from UTC
timestamp_precision: NANOSECOND
anchor_interval: "≤10 minutes"
anchor_type: "Blockchain or RFC 3161 TSA"
gold:
target: "Institutional algorithmic trading"
clock_sync: NTP_SYNCED # <1ms divergence from UTC
timestamp_precision: MICROSECOND
anchor_interval: "≤1 hour"
anchor_type: "Blockchain or RFC 3161 TSA"
silver:
target: "Development, testing, retail, backtesting"
clock_sync: BEST_EFFORT # System clock
timestamp_precision: MILLISECOND
anchor_interval: "≤24 hours"
anchor_type: "Any supported method"
⚠️ MiFID II Warning: Silver tier's
BEST_EFFORTclock sync does NOT meet MiFID II RTS 25 requirements for algorithmic trading. If you're subject to EU algo trading regulations, you need Gold (NTP <1ms) at minimum. Silver is for dev/test/backtesting only.
Anchoring Implementation (RFC 3161 TSA)
import hashlib
import requests
from datetime import datetime, timezone
def anchor_to_tsa(merkle_root: bytes,
tsa_url: str = "https://freetsa.org/tsr") -> dict:
"""
Anchor a Merkle root to an RFC 3161 Timestamp Authority.
This proves the Merkle root (and therefore all events in the batch)
existed at the timestamp issued by the TSA. The TSA is an independent
third party — the log producer cannot backdate or modify the anchor.
"""
# Create timestamp request (simplified — production code uses pyasn1)
ts_request = create_timestamp_request(merkle_root)
response = requests.post(
tsa_url,
data=ts_request,
headers={"Content-Type": "application/timestamp-query"}
)
if response.status_code == 200:
return {
"anchor_type": "RFC3161_TSA",
"tsa_url": tsa_url,
"merkle_root": merkle_root.hex(),
"response": response.content.hex(),
"anchored_at": datetime.now(timezone.utc).isoformat()
}
raise Exception(f"TSA anchoring failed: {response.status_code}")
def anchor_to_blockchain(merkle_root: bytes,
network: str = "ethereum-mainnet") -> dict:
"""
Alternative: Anchor to a blockchain via OP_RETURN or similar mechanism.
For production Platinum-tier deployments, blockchain anchoring provides
the strongest guarantee — the entire network would need to be compromised
to alter the anchor.
"""
# Implementation depends on chain (Ethereum, Bitcoin OP_RETURN, etc.)
tx_hash = submit_anchor_transaction(merkle_root, network)
return {
"anchor_type": "BLOCKCHAIN",
"network": network,
"tx_hash": tx_hash,
"merkle_root": merkle_root.hex(),
"anchored_at": datetime.now(timezone.utc).isoformat()
}
🔬 VCP-GOV: Why the SaaSpocalypse Is Unauditable Without This
The extension module that matters most for the SaaSpocalypse analysis is VCP-GOV (Algorithm Governance). It captures the AI decision metadata that regulators increasingly demand but no current standard operationalizes.
{
"VCP-GOV": {
"AlgorithmIdentification": {
"AlgoID": "ALG-SENT-2026-001",
"AlgoVersion": "3.2.1",
"AlgoType": "AI_MODEL",
"ModelType": "FinBERT-v4",
"ModelHash": "sha256:a1b2c3d4e5f67890abcdef..."
},
"Governance": {
"RiskClassification": "MEDIUM",
"LastApprovalBy": "RISK-MGR-042",
"ApprovalTimestamp": "1742774400000000000",
"TestingRecordLink": "https://internal.firm.com/tests/ALG-SENT-2026-001-v3.2.1"
},
"DecisionFactors": {
"Features": [
{"Name": "headline_sentiment", "Value": "-0.87",
"Weight": "0.35", "Contribution": "0.42"},
{"Name": "options_flow_delta", "Value": "-0.62",
"Weight": "0.25", "Contribution": "0.28"},
{"Name": "sector_momentum", "Value": "-0.45",
"Weight": "0.20", "Contribution": "0.18"},
{"Name": "volume_anomaly", "Value": "2.34",
"Weight": "0.20", "Contribution": "0.12"}
],
"ConfidenceScore": "0.78",
"ExplainabilityMethod": "SHAP"
}
}
}
What This Means for Post-Incident Analysis
With VCP-GOV active across trading firms on March 24, investigators could:
-
Identify the first mover: Which
AlgoIDgenerated the earliestSIGevent with negative sentiment for SaaS stocks? -
Trace the interpretation: Was
headline_sentiment: -0.87derived from the AWS AI agent headline or the Anthropic Mac control headline? -
Quantify the confidence gap: A
ConfidenceScoreof0.78on a sector-wide sell signal is arguably low — was the algorithm certain or just following a herd? -
Verify model identity:
ModelHashproves which exact model version generated each decision. No post-hoc model swaps. -
Audit the explanation: SHAP values show that
headline_sentimentcontributed 42% of the decision weight. Was this feature properly calibrated for product launches vs. workforce displacement news?
None of this is possible today because there is no standard format for logging AI trading decisions, and existing logs are unverifiable.
🛡️ VCP-RISK: Did Circuit Breakers Actually Fire?
The second critical extension for the SaaSpocalypse is VCP-RISK, which captures risk management state at event time:
{
"VCP-RISK": {
"snapshot": {
"max_position_size": "500000",
"current_position": "-387000",
"exposure_utilization": "0.774",
"max_daily_drawdown": "-250000",
"current_drawdown": "-183000",
"var_95": "0.034",
"net_exposure": "-0.62"
},
"triggered_controls": [
{
"control_name": "SECTOR_CONCENTRATION_LIMIT",
"trigger_value": "0.774",
"action": "WARN",
"timestamp_int": "1742860800456000000"
}
]
}
}
When a firm tells regulators "our risk controls functioned properly during the sell-off," VCP-RISK provides cryptographic proof — or contradiction. The triggered_controls array shows exactly which safeguards activated, when, and what action was taken. If the array is empty during a period when positions were growing into a cascade, that's verifiable evidence of a risk management gap.
🔗 VCP-XREF: Cross-Party Verification
VCP v1.1 introduces VCP-XREF for dual-party logging. Each counterparty independently logs events and references the other via a shared CrossReferenceID:
{
"VCP-XREF": {
"CrossReferenceID": "019f3a2b-1234-4567-89ab-cdef01234567",
"CounterpartyLogServer": "audit.counterparty-firm.com",
"SharedEventKey": {
"OrderID": "ORD-NYSE-2026-03-24-18472",
"Timestamp": "1742860800789000000",
"ToleranceMs": 100
},
"VerificationStatus": "PENDING",
"DiscrepancyDetails": null
}
}
The Guarantee
If Party A claims event E occurred and Party B denies it, the VCP-XREF records from both parties provide non-repudiable evidence. Manipulation requires:
- Collusion between both parties, AND
- Compromise of external anchors
With VCP-XREF + external anchoring, unilateral log manipulation is cryptographically detectable.
📋 Policy Identification: New in v1.1
Every VCP event now must declare its conformance tier and registration policy. This enables verifiers to apply the right validation rules:
{
"PolicyIdentification": {
"Version": "1.1",
"PolicyID": "org.veritaschain.prod:firm-alpha-001",
"ConformanceTier": "GOLD",
"RegistrationPolicy": {
"Issuer": "VeritasChain Standards Organization",
"PolicyURI": "https://veritaschain.org/policies/gold-v1.1",
"EffectiveDate": "1735689600000000000"
},
"VerificationDepth": {
"HashChainValidation": true,
"MerkleProofRequired": true,
"ExternalAnchorRequired": true
}
}
}
✅ Conformance Test Matrix (v1.1)
If you're implementing VCP v1.1, here's what you need to pass:
Test Category Silver Gold Platinum
───────────────────────── ──────── ──────── ────────
Schema Validation REQUIRED REQUIRED REQUIRED
UUID v7 Format REQUIRED REQUIRED REQUIRED
Timestamp (MILLISECOND) REQUIRED REQUIRED REQUIRED
Timestamp (MICROSECOND) optional REQUIRED REQUIRED
Timestamp (NANOSECOND) optional optional REQUIRED
EventHash Calculation REQUIRED REQUIRED REQUIRED
Hash Chain (PrevHash) optional optional optional ← Changed in v1.1
Digital Signature REQUIRED REQUIRED REQUIRED
Merkle Tree Construction REQUIRED REQUIRED REQUIRED
Merkle Proof Verification REQUIRED REQUIRED REQUIRED
External Anchor REQUIRED REQUIRED REQUIRED ← Changed in v1.1
Policy Identification REQUIRED REQUIRED REQUIRED ← New in v1.1
Clock Sync (BEST_EFFORT) REQUIRED REQUIRED REQUIRED
Clock Sync (NTP_SYNCED) optional REQUIRED REQUIRED
Clock Sync (PTP_LOCKED) optional optional REQUIRED
Critical tests (automatic certification failure):
-
SCH-001: Event structure validation -
UID-001: UUID v7 format -
HCH-003: Hash calculation algorithm (EventHash) -
SIG-001: Signature algorithm compliance -
MKL-001: Merkle tree construction (new) -
MKL-002: Merkle proof verification (new) -
ANC-001: External anchor presence (new) -
POL-001: Policy Identification (new)
🏃 Quick Start: Minimal VCP v1.1 Event in Python
import hashlib
import json
import time
import uuid
from datetime import datetime, timezone
def create_vcp_event(event_type: str, event_type_code: int,
symbol: str, venue_id: str,
payload: dict) -> dict:
"""Create a minimal VCP v1.1 compliant event."""
now = datetime.now(timezone.utc)
ns = int(now.timestamp() * 1_000_000_000)
event = {
"event_id": str(uuid.uuid7()), # Time-ordered
"trace_id": str(uuid.uuid7()),
"timestamp_int": str(ns),
"timestamp_iso": now.isoformat(),
"event_type": event_type,
"event_type_code": event_type_code,
"symbol": symbol,
"venue_id": venue_id,
"account_id": "ACCT-PSEUDO-001",
"payload": payload,
"policy_identification": {
"version": "1.1",
"policy_id": "org.veritaschain.dev:quickstart",
"conformance_tier": "SILVER",
"verification_depth": {
"hash_chain_validation": False,
"merkle_proof_required": True,
"external_anchor_required": True
}
}
}
# Compute EventHash (Layer 1)
hashable = {k: v for k, v in event.items()
if k not in ('event_hash',)}
canonical = json.dumps(hashable, sort_keys=True, separators=(',', ':'))
event["event_hash"] = hashlib.sha256(canonical.encode()).hexdigest()
return event
# Create a signal event
sig_event = create_vcp_event(
event_type="SIG",
event_type_code=1,
symbol="CRM",
venue_id="NYSE",
payload={
"vcp_gov": {
"algo_id": "ALG-DEMO-001",
"algo_version": "1.0.0",
"algo_type": "RULE_BASED",
"decision_factors": {
"features": [
{"name": "rsi_14", "value": "28.5", "weight": "0.5"}
],
"confidence_score": "0.82",
"explainability_method": "RULE_TRACE"
}
}
}
)
print(json.dumps(sig_event, indent=2))
📊 The Regulatory Clock Is Ticking
Why is VCP v1.1 relevant right now? Because multiple deadlines converge in the next 6 months:
EU AI Act Article 12 (August 2, 2026): Mandatory automatic event logging for high-risk AI systems. Note: algorithmic trading isn't currently classified as high-risk under Annex III, but ESMA's February 2026 Supervisory Briefing already requires that trading systems meeting the AI Act's definition of an AI system must comply with both MiFID II and the AI Act.
Colorado AI Act (June 30, 2026): Risk management programs and documentation for high-risk AI deployers.
ESMA Supervisory Briefing (February 26, 2026): First explicit regulatory guidance on AI + algorithmic trading. Firms must explain how AI impacts their algorithms' decision-making. Incremental AI model changes may constitute material system modifications requiring full retesting.
MiFID II RTS 6: Annual self-assessments, algorithm inventories, kill-switch capability, real-time monitoring within 5 seconds of events. Already in force, but the AI dimension is now explicitly on ESMA's radar.
The common gap across all of these: they prescribe what must be logged, but not how to independently verify log integrity. VCP v1.1 fills that gap.
🔗 Resources
- Spec (v1.1): github.com/veritaschain/vcp-spec/tree/main/spec/v1.1
- IETF Draft: draft-kamimura-scitt-vcp
- Website: veritaschain.org
- License: CC BY 4.0 (spec), Apache 2.0 (code)
- Contact: technical@veritaschain.org
TL;DR
The SaaSpocalypse proved that AI product announcements now move markets at the scale of macro events — $285 billion in 48 hours, $2 trillion over two months. Over 70% of trades are algorithmic. NLP sentiment models at multiple firms parse the same headlines through similar architectures and execute correlated sell signals within milliseconds.
Nobody can prove what happened. The audit trails are proprietary, mutable, and unverifiable.
VCP v1.1 provides a three-layer cryptographic solution:
- Layer 1 — SHA-256 event hashing proves individual events weren't tampered with
- Layer 2 — RFC 6962 Merkle trees prove batch completeness (no events deleted)
- Layer 3 — Mandatory external anchoring proves when logs existed (no backdating)
Plus extension modules for AI transparency (VCP-GOV with SHAP/LIME decision factors), risk management state (VCP-RISK), and cross-party verification (VCP-XREF).
The principle: Don't trust. Verify.
If you're building algo trading systems and thinking about audit trail integrity, I'd love to hear what challenges you're facing. Drop a comment below. 👇
Found an issue with the spec? Open a GitHub issue. Technical critique makes protocols stronger.
Top comments (0)