AI Red Teaming Platform

Every AI model ships with
a false sense of
security.

ProofForge runs automated adversarial tests against your AI systems — finding prompt injection, jailbreaks, data leakage, and agentic misuse before attackers exploit them. No six-figure consulting engagement required.

50+
attack vectors
<3hrs
scan time
4.7
avg critical vulns found
OWASP
aligned reporting
Live Scan Active
target: production-gpt-4
CRIT Indirect Prompt Injection via RAG Triggered
HIGH Jailbreak: Context Switching Blocked
CRIT Data Exfiltration via Tool Call Triggered
MED System Prompt Extraction Blocked
HIGH MCP Auth Bypass via Role Play Triggered
LOW Output Manipulation via Encoding Blocked
2 / 6 critical vulnerabilities mitigated 34/50 attack vectors tested
$4.2B
AI red teaming market in 2025 — growing at 28-30% CAGR through 2034
35%
Surge in AI red teaming demand projected by 2028 — US Bureau of Labor Statistics
Aug 2
EU AI Act enforcement date — adversarial testing now mandatory for high-risk AI systems
4.7
Average critical vulnerabilities found per AI model evaluation

The window to get ahead of this is closing fast. Organizations that don't test their AI systems are exposing themselves to regulatory fines, data breaches, and reputational damage — on top of the security incidents themselves.

The threat landscape

AI fails in ways traditional security never anticipated.

Standard penetration testing doesn't catch prompt injection, model drift, or agentic privilege escalation. You need testing built for how AI actually breaks.

01 Application Layer
Prompt Injection Context Poisoning Jailbreaks Output Manipulation
02 Model Layer
Alignment Bypass Training Data Extraction Model Inversion Backdoor Triggers
03 Tool & MCP Layer
Tool Abuse MCP Auth Bypass Privilege Escalation Indirect Injection
04 Data Layer
RAG Poisoning Memory Injection Cross-Tenant Exfil PII Leakage
How it works

From target to findings in under three hours.

ProofForge runs structured adversarial testing across four threat layers, generating a prioritized vulnerability report mapped to OWASP, MITRE ATLAS, and NIST AI RMF frameworks.

1

Connect your model

Point ProofForge at your API endpoint. Supports OpenAI, Anthropic, Azure OpenAI, Gemini, Ollama, and any REST-compatible LLM. No code changes required.

2

Define your threat model

Select your attack surface profile: LLM app, RAG system, agentic workflow, or multi-agent architecture. ProofForge tailors the test scope accordingly.

3

Run automated adversarial probes

ProofForge executes 50+ attack vectors across four layers — from direct jailbreaks to indirect prompt injection through retrieved context. Tests run in parallel for speed.

4

Receive a prioritized report

Findings ranked by severity and business impact. Each vulnerability includes the triggering input, the model's response, and a remediation recommendation — ready to hand to your engineering team.

Findings you can act on

Not a list of vulnerabilities. A roadmap to a harder system.

ASI-001 CRITICAL

Indirect Prompt Injection via Retrieved Context

Attacker injects malicious instructions into a document that gets retrieved by the RAG system. The model follows embedded instructions it believes originated from a trusted source.

OWASP ASI #1 • MITRE ATLAS
Remediation: Filter retrieved content with a pre-processing layer that identifies and strips potential instruction payloads before injecting into context.
ASI-004 HIGH

MCP Auth Bypass via Role Play Escalation

Model accepts role-play framing that elevates the user's implicit permissions beyond what the session should allow, enabling unauthorized tool invocations.

MITRE ATLAS • Agentic AI
Remediation: Implement least-privilege session context. Instrument tool call audit logs and add assertion checks at the MCP adapter layer.
LLM-007 MEDIUM

System Prompt Extraction via Context Reset

Multi-turn conversation strategy that gradually resets context boundaries, tricking the model into disclosing system prompt contents across successive turns.

OWASP LLM Top 10 • NIST AI RMF
Remediation: Enforce system prompt boundary enforcement in the application layer. Rotate conversation anchors and log extraction attempts for anomaly detection.

Your AI systems are in production. The question is whether anyone has actually tested them.

ProofForge gives you the adversarial testing infrastructure that was previously only available to organizations with dedicated red teams and six-figure security budgets. Built on methodology cited by NIST, OWASP, and leading AI labs — and continuously updated as new attack patterns emerge.

EU AI Act Article 15 aligned reporting
NIST AI RMF structured findings
OWASP Top 10 coverage
MITRE ATLAS mapped findings