Adversarial evaluation as a service

Your AI agent is talking to strangers every second.

We secure the chatbots and LLM agents inside your enterprise systems — prompt injection, jailbreaks, PII extraction, agent hijacking — before someone with worse intentions does. [Whitepaper]

Request assessment See sample results
0+adversarial prompts executed per engagement — jailbreak, injection, extraction and hijack scenarios, each one logged and scored against your guard layers
0attack classes mapped to the OWASP LLM Top 10 and MITRE ATLAS frameworks — from prompt injection and DAN to agent tool abuse and RAG poisoning
0hfrom signed NDA to a complete security posture report — attack success rates, guard effectiveness matrix, and a severity-ranked remediation plan
How we test

Assessment pipeline

A defense-in-depth probe: our evaluator fires an adversarial corpus at your live middleware, and every guard-layer decision is logged and scored.

Evaluator CLI

Promptfoo harness orchestrates the adversarial corpus and scores every probe.

FastAPI middleware · :8000
  • 01 · input guard — slang norm, Presidio PII, injection regex
  • 02 · llm call — OpenAI / Gemini / Anthropic
  • 03 · output guard — NIK masking, prompt-leak check
Posture report
  • · attack success rate per class
  • · guard effectiveness matrix
  • · severity-ranked remediation
redteam@cybersafe — live probe
What we cover

Services

One-time audits to continuous monitoring — scoped to the AI surface your business actually runs.

S/01

LLM red teaming

Jailbreak, DAN, multilingual and encoded injection against production chatbots.

S/02

Agent AI audit

Tool-calling scope, permission boundaries and sandbox isolation testing.

S/03

RAG & knowledge base audit

Internal document leakage and knowledge-poisoning vector analysis.

S/04

AI supply chain scan

Models, plugins and third-party APIs assessed for inherited risk.

S/05

Compliance readiness

ISO/IEC 42001, NIST AI RMF and EU AI Act gap analysis.

S/06

Continuous monitoring

Monthly retest cadence with a live security posture dashboard.

Proof, not promises

Sample engagement results

Attack success rate per class, before and after our recommended hardening.

BASELINE ASRHARDENED ASR
-0%overall ASR reduction
0%input guard recall
0%false rejection rate
Engagement flow

From scoping to retest in five steps

NDA-first, production-safe testing that never touches real customer data.

01

Scoping

Define targets, attack surface and rules of engagement.

02

NDA & access

Signed NDA, sandboxed credentials, staged environment.

03

Red team run

Full adversarial corpus executed, every probe logged.

04

Report

ASR per class, guard matrix, ranked remediation plan.

05

Retest

Verify fixes, then continuous monitoring if retained.

Get started

Your AI is already live.
Is it already breached?

Book a 30-minute scoping call — we map your AI attack surface and quote a fixed-price assessment.

hi@cybersafe.id