ADVERSARIAL SIMULATION

AI Red Teaming

Autonomous multi-turn red teaming campaigns engineered for high-assurance AI.

Manual red teaming is expensive, slow, and impossible to scale across daily software releases. SecureMID deploys background worker fleets that simulate realistic, multi-stage adversary tactics against your AI systems.

Empirical Pass Rate100%

52 automated enterprise tests passing in release suite.

Worker Parallelism1-10+ Jobs

Configurable concurrency slots per organization tier.

Report GenerationInstant

Dynamic PDF and JSON scorecards generated immediately.

THE THREAT LANDSCAPE

Manual security assessments cannot keep pace with continuous AI deployment.

Manual Penetration Testing Doesn't Scale

Traditional manual assessments take weeks and cost tens of thousands of dollars, leaving systems unmonitored between annual reviews.

Exploits Evolve Across Multi-Turn Dialogues

Single-prompt scanners miss adaptive exploits where adversaries test boundaries, probe defenses, and pivot across conversational turns.

Lack of Repeatable Regression Suites

Once an engineer applies a prompt fix, they lack automated tooling to prove the fix didn't introduce regressions on adjacent attack surfaces.

TECHNICAL COVERAGE

Verified Invariant Testing Suites

CELERY / REDIS

Autonomous Multi-Turn Scenarios

Workers adapt follow-up prompts based on the target agent's response, probing for logic inconsistencies.

SHA-256 AUDIT

Cryptographic Evidence Ledgers

Tamper-evident logs record exact input payloads, model completions, and tool outputs for auditability.

REGRESSION GATING

Live Re-Test & Regression Tracking

Execute targeted re-evaluations against previously confirmed findings to verify engineering patches.

securemid-cli

CI/CD CLI Pipeline Gating

Block pull requests in GitHub Actions or GitLab CI if critical vulnerabilities exceed risk thresholds.

EXECUTION PROCESS

From automated campaign configuration to verified remediation.

PHASE 01

Campaign Configuration

Choose attack intensity: Standard fast scan, comprehensive multi-turn campaign, or custom invariant probes.

PHASE 02

Celery Worker Fleet Execution

Asynchronous task workers launch multi-stage dialogue simulations concurrently against registered agents.

PHASE 03

Evidence Capture & Fingerprinting

Every failed invariant is captured with complete conversational traces and SHA-256 deduplication hashes.

PHASE 04

1-Click Regression Verification

After developer remediation, run automated re-tests to verify closure and track historical safety trends.

COMPLIANCE & GOVERNANCE MAPPING

Direct crosswalk to industry frameworks

OWASP Top 10 for LLMsFull Spectrum (LLM01-LLM10)
MITRE ATLASAdversarial Threat Matrix
ISO / IEC 42001AI Risk Assessment Controls

Frequently Asked Questions

A standard assessment of core vectors completes in 2 to 5 minutes. Comprehensive multi-turn suites across multiple agents typically run in 10 to 15 minutes.
Start Your Security Assessment

Make AI security part of your workflow.

Start exploring how SecureMID can help your team autonomously assess, red-team, and evaluate AI systems before they reach production.

Free Community Tier Available•Zero Cloud Token Egress•Turnkey Docker & CLI Gating