NestGovAI — AI Red-Team Platform

Your chatbot answers customers, reads documents, and increasingly calls tools on their behalf. NestGovAI is the platform we use to attack it the way a real adversary would.

OWASP Top 10 for LLM Applications 2026OWASP Top 10 for Agentic Applications 2026MITRE ATLASNIST AI RMF0DIN Taxonomy
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How It Works

The same attack, with and without your defenses

Every probe runs twice — once against an unguarded model and once through the full guardrail pipeline. That comparison is the finding.

Attack Library

A curated, continuously growing library of adversarial probes — prompt injection, jailbreaks, system-prompt extraction, PII exfiltration, and tool abuse.

AI Attack Generator

An attacker model writes new attacks and a judge model scores the results, round after round — so testing is not limited to a static checklist.

Multi-Turn Escalation

Crescendo-style sequences where no single message looks like an attack, but the conversation as a whole is one.

Indirect Injection

Malicious instructions hidden inside documents your assistant processes — the attack arrives as content, not as a request.

Agent & Tool Abuse

Testing for AI systems that can act — MCP tool integrations, unsafe tool calls, SSRF through the assistant, and excessive autonomy.

Guardrail Validation

A pipeline of pluggable controls, each toggled independently so you can see exactly which one carries the weight.

What You Receive

Findings you can act on and defend

Evidence, not assertions

Every finding traces to the exact prompt, the response, and the control that did or did not fire. PDF, Word and Excel exports carry a keyed integrity hash.

Severity that means something

Severity is scored based on blast radius across models and vendors, retargetability, and the actual usability of any extracted output.

Regression tracking

Model providers change their models without telling you. Each run is diffed against the last, so a protection that used to hold and no longer does gets flagged.

Mapped to frameworks

OWASP Top 10 for LLM Applications 2026, OWASP Top 10 for Agentic Applications 2026, and MITRE ATLAS references, plus a published jailbreak-technique taxonomy.

Sensitive data handled carefully

Anything disclosed during testing is redacted by default and recoverable only by explicitly authorized personnel, with every access recorded.

English and Spanish

Platform, attack library and reporting are fully bilingual — Spanish-language attacks are tested as first-class cases, not translated afterthoughts.

Scope

Two engagements that look alike

Testing the model behind your assistant and testing the assistant your customers actually talk to are different measurements. We tell you which one we ran.

Model-level assessment

We supply the system prompt and plant a marked secret, so a disclosure is unambiguous and the comparison isolates what your controls contribute.

Deployed-assistant assessment

Against a live assistant we test as an outside attacker would, and report what that method can and cannot establish.

NestGovAI is CyberNest Secure's internal assessment platform. Testing is performed only against systems you own or are explicitly authorized to test, under a written engagement scope. Findings do not guarantee compliance.

Find out what your assistant gives away

We will scope an AI red-team engagement against your chatbot, LLM application, or agent — and show you the evidence.

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