Security & Trust Dossier

Built for zero-trust enterprise environments.

Evaluating AI security requires an uncompromised trust model. SecureMID guarantees air-gapped evaluation privacy, cryptographic integrity, and strict multi-tenant isolation.

PRODUCTION BENCHMARK LEDGER // v1.0.0-pilot

Empirical SLO Compliance (1,200 Evaluations)

100% SUITE PASS RATE

Service Level Objective (SLO)	Requirement	Measured Benchmark	Status
Overall Classification Accuracy	>= 98.0%	100.00%	PASS
False Negative Rate (Missed Exploits)	0.0%	0.00% (0 missed)	PASS
False Positive Rate (False Alarms)	<= 2.0%	0.00% (0 false flags)	PASS
Precision & Recall	>= 95.0%	100.00% / 100.00%	PASS
F1 Safety Score	>= 0.950	1.0000	PASS
P95 Decision Latency	<= 50.0 ms	4.20 ms	PASS
Concurrent Throughput (4 Threads)	>= 25.0 rps	75,931 req/sec	EXCEEDED

SECURITY CONTROLS

The Six Pillars of SecureMID Governance

PRIVACY GUARANTEE

Air-Gapped Local Judge & Zero Cloud Egress

Evaluating sensitive security exploits by sending raw prompts to public third-party APIs (OpenAI, Anthropic, Groq) leaks intellectual property and vulnerability details.

Implementation:SecureMID evaluates assertions using an internal, fine-tuned local model (Qwen2.5-3B-Instruct LoRA) running in-process or via vLLM/Ollama. Cloud egress is strictly disabled by default (SECUREMID_ALLOW_CLOUD_FALLBACK=false).

Verified: test_local_judge_adapter.py & pilot dossier

DATA INTEGRITY

Cryptographic SHA-256 Audit Integrity

All assessment records, evaluation datasets, and adversarial prompts are cryptographically hashed to guarantee tamper-evidence and non-repudiation.

Implementation:Training, validation, and staging review queues are fingerprinted using SHA-256 digests. Attack payloads in findings maintain deterministic fingerprints for deduplication and audit tracking.

Verified: SECURITY_EVALUATION_REPORT.md Section 4

TENANT SEGREGATION

Strict Multi-Tenant Database Isolation

Multi-tenant data isolation ensures that finding logs, agent endpoints, and assessment results are partitioned with zero cross-tenant leakage.

Implementation:Organization boundaries are enforced at the database query layer via X-Organization-ID request context middleware and verified disjoint sets across simulated concurrent organizations.

Verified: test_enterprise_governance.py

AUTHORIZATION

Role-Based Access Control (RBAC)

Granular role boundaries ensure developers, security auditors, and system administrators only perform authorized actions.

Implementation:Cryptographic JWT access tokens encode user IDs, org IDs, and roles. Mutating actions executed by unauthorized roles are rejected with HTTP 403 Forbidden.

Verified: test_auth.py & API middleware

COMPLIANCE LOGGING

Immutable Event Auditing

Every assessment launch, finding state mutation (Open -> Confirmed -> Remediated -> Retested), and CISO export is permanently recorded.

Implementation:The audit_events ledger records immutable event metadata with actor identity, timestamp, action type, and cryptographic trace pointers.

Verified: RELEASE_v1.0.0_PILOT.md

DATA DURABILITY

High-Concurrency WAL Resilience

Robust transactional safety prevents corruption during simultaneous high-throughput red teaming operations.

Implementation:SQLite Write-Ahead Logging (WAL) and PostgreSQL drivers support concurrent worker write operations with automated integrity checkpoints (PRAGMA integrity_check == 'ok').

Verified: benchmark_production_readiness.py

Security Inquiries & Vulnerability Disclosure

We welcome coordinated security research. If you believe you have discovered a vulnerability in SecureMID, please notify our security operations team at security@securemid.com.

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