Security Architecture

Raphael Sentinel is designed as a high-integrity, fault-tolerant intelligence system operating on real-time Solana blockchain data. Because the platform processes sensitive signals, wallet identities, subscription logic, and complex analytics pipelines, security is a foundational part of the architecture — not an afterthought.

The system follows four primary security goals:

Protect user identity and account state
Ensure data accuracy and tamper-resistance
Provide high availability under load
Prevent abuse of the intelligence engine and API

The entire platform infrastructure is built using industry standards for authentication, encryption, isolation, and monitoring.

1. Web3-Native Authentication Security

Sentinel uses non-custodial wallet authentication, which eliminates passwords entirely.

Security guarantees:

No sensitive user credentials stored on the server
Authentication relies on cryptographic signatures (Solana Secp256k1 or Ed25519)
Replay-protection via nonce-based challenge-response
Short-lived JWT ensures limited blast radius if intercepted

Attack resistance:

Prevents credential stuffing
Prevents phishing of passwords
Prevents session fixation
Prevents impersonation without private key
Nonces expire automatically to avoid replay

This makes Sentinel significantly more secure than traditional username/password systems.

2. API Security & Abuse Prevention

Sentinel’s public API is protected with layered security:

Tier-aware rate limiting

Different per-user quotas
Hard request ceilings
Burst control
Delayed responses for abusive behavior
IP + wallet + key-based tracking

Request Validation

Every request is validated for:

proper schema
Solana address format
acceptable frequency
necessary credentials

Isolation from Internal Systems

External API endpoints cannot:

access internal analysis nodes
manipulate risk models
affect stored intelligence
query private infrastructure

Only sanitized, controlled entry points are exposed.

3. Infrastructure & Deployment Security

Containerization

Each service runs in an isolated container
No shared execution context
Minimal privilege container profiles

Network Isolation

Internal analysis services run on private networks
API gateway is the only public ingress
No direct RPC node exposure
Strict firewall policies

Secrets Management

Environment secrets stored in encrypted vaults
No secrets baked into images
Auto-rotation for sensitive keys

Encrypted Transport

All communication over HTTPS/WSS
TLS 1.3 enforced by default

4. Data Security & Integrity Protection

Hashing & Serialization

All analysis outputs are hashed before storing to ensure:

consistency
tamper detection
caching integrity

Immutable Logs

Analysis logs are write-only:

no mutation
no retroactive modification
audit trail preserved indefinitely

Database Security

Principle of least privilege
Row-level access control
Redundant backups
PITR (Point-in-Time Recovery)

Distributed Caching

Redis is isolated and protected with:

authentication
firewall
no public exposure

5. Real-Time Fault Tolerance & High Availability

The system is engineered to stay online even under degraded conditions.

Redundant RPC Providers

Sentinel rotates through:

primary RPC
fallback RPCs
Helius pipelines
backup Solana nodes

This ensures zero downtime during RPC outages.

Automatic Job Retry

If an analysis step fails due to:

RPC error
network timeout
third-party API failure

…Sentinel retries with exponential backoff.

Health Checks & Self-Healing

Kubernetes probes
instance auto-restart on failure
autoscaling based on load

6. Threat Model & Attack Mitigation

A. DDOS & API Flooding

Mitigated by:

rate limiting
IP throttling
strict quotas
WAF (Web Application Firewall)

B. Data Poisoning Attempts

Sentinel never trusts user inputs:

all user-provided addresses validated
no user-side influence over models
attempts to inject malformed data are rejected

C. False Score Manipulation

Impossible due to:

deterministic scoring
isolated scoring engine
hashed results
immutable logs

D. On-chain manipulation

Sentinel detects:

bot-driven attacks
dev-cluster behavior
fake volume
liquidity spoofing

The platform surfaces these threats rather than being misled by them.

7. Privacy & User Data Minimization

Sentinel does not store:

private keys
seed phrases
user credentials
transactional details unrelated to analysis

What is stored:

minimal wallet signatures (public keys only)
subscription metadata
analysis results chosen by the user

Compliance with privacy standards is straightforward because no sensitive personal data is ever collected.

8. Security of the Tokenomics System

Secure Payment Verification

When a user pays with SOL or the native token:

Sentinel monitors the transaction on-chain
verifies the receiver address
verifies the amount
validates the token program
confirms finality before applying subscription

Burn Mechanism Security

Burn operations are:

executed only on-chain
verifiable
provably irreversible

No central authority can mint or unburn tokens.