AI Security · Agentic Red-Teaming

Red-team your AI system, end to end.

We're building the agentic pipeline that attacks an AI the way a human red-team would — at machine scale. Run as hands-on security audits today, mapped to the OWASP LLM Top 10.

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red-prompt / attack pipeline
AGENT · RUNNING
LLM interactionLIVE
RAG / retrievalQUEUED
Agentic / tool-chainQUEUED
Model supply-chainQUEUED
LLM01 · SYSTEM PROMPT LEAKOWASP-mapped · reproducible
What we break
0
Attack layers, one pipeline
0
OWASP LLM Top 10 mapped
0+
Probes + autonomous agents
Audit-ready
Reproducible, replayable reports
Watch

red-prompt in thirty seconds.

The whole story in half a minute — the agentic pipeline, from autonomous attack to audit-ready report.

31-second overview · silent · loopsJoin the waitlist
Why now

Two hot markets are colliding — AI security and agentic systems

red-prompt lives at the intersection. We're not a scanner with an AI feature bolted on — the agents are the methodology.

AI ships faster than it's secured

Every company is bolting an LLM, a RAG stack, or an agentic tool-chain onto their product. Almost none of them have tested what happens when that system is attacked.

The attack surface is brand new

Prompt injection, jailbreaks, multi-turn escalation, RAG poisoning, tool-chain hijacking, model supply-chain risk — none of it is covered by the SAST, DAST, or pentest tooling security teams already own.

AI is now good enough to attack AI

The same capability that makes AI systems risky makes AI the right tool to red-team them. An autonomous attacker probes, adapts, and escalates across a target's full surface far faster than a human team.

The pipeline

One pipeline. Every attack surface.

Every AI system has more than one way in. Red-teaming it end to end means covering all of them — not just the chat box. The LLM layer is live; the rest is what the waitlist opens up.

LIVE
LLM LAYER

LLM interaction layer

Single-turn probes, scripted multi-turn escalation, and a fully autonomous adaptive attacker that reads the conversation, picks its own tactic, and escalates every turn — plus custom-authored attacks.

Probes · Crescendo · Autonomous agent · Custom attacks
ROADMAP
RAG LAYER

RAG / retrieval layer

Indirect prompt injection through poisoned retrieved documents, vector-store data leakage, and embedding or ranking manipulation — the surface a chat-only test can never reach.

Indirect injection · Store leakage · Ranking attacks
ROADMAP
AGENTIC LAYER

Agentic / tool-chain layer

Chaining a target's own tools toward a privileged action, tool hijacking, and privilege escalation against agentic targets — mapped to the OWASP Agentic Top 10.

Tool hijacking · Privilege escalation · OWASP Agentic
ROADMAP
SUPPLY CHAIN

Model supply-chain layer

Unsafe model serialization, embedded executables, and the broader model and dependency provenance surface — because the risk starts before the first prompt is ever sent.

Unsafe pickles · Embedded exec · Provenance
THE BRAIN

Analysis + Selection agents

Every engagement starts by profiling the target — its system prompt, tools, and RAG config — then freezing a concrete attack plan before a single request goes out. Adaptive while deciding; fixed during execution.

THE PROOF

Audit-ready reporting

Findings synthesize into one report — executive summary, technical detail, prioritized remediation — every finding mapped to a recognized framework. Reproducible, replayable, defensible.

The approach

Hands-on audits today. A product tomorrow.

We deliver AI security audits as a service right now — and every engagement runs on, and sharpens, the agent pipeline that becomes the platform. The waitlist is your seat as we open it up.

01

Scoped access

Access is a ladder, not a gate — from a cold demo on a sample app, to a shared system prompt, to time-boxed, revocable, read-only access. Trust scales with the engagement.

Cold pitch · Warm pilot · Signed engagement
02

Analyze the target

We profile your system — LLM client, system prompt, tools, and RAG config — and turn it into a structured threat model. What we can't see, we can't safely test.

System prompt · Tools · Retrieval · App category
03

Attack every layer

Autonomous agents attack in parallel across the LLM, RAG, agentic-tool, and supply-chain surfaces — the plan frozen before the first request so the whole run replays exactly.

Frozen plan · Rate-limited · Fully logged
04

Deliver the report

Findings synthesize into one audit-ready report — executive summary, technical detail, prioritized remediation — every finding mapped to a recognized framework.

OWASP LLM Top 10 · Regional compliance packs
Compliance

International core. Regional depth.

OWASP is our universal spine — it works for any buyer, any regulator, anywhere. Regional and sector frameworks layer on top as swappable packs, never the ceiling on who we can serve.

OWASP LLM Top 10
The universal spine — every finding, everywhere
CORE

The canonical LLM application security checklist. Every finding maps to it — LLM01 Prompt Injection, LLM02 Sensitive Info Disclosure, LLM05 Insecure Output, LLM07 System Prompt Leakage, and the rest. This framing travels to any market, any regulator, anywhere.

LLM01 Prompt InjectionLLM02 PII DisclosureLLM05 Output HandlingLLM07 System Prompt
OWASP Agentic Top 10
The spine for the agentic layer
CORE

As we open the agentic / tool-chain layer, findings map to the OWASP Agentic Top 10 — tool misuse, excessive agency, and privilege escalation. The same universal, framework-grounded approach, extended to autonomous systems.

Tool misuseExcessive agencyPrivilege escalation
Compliance packs
India DPDP
Digital Personal Data Protection Act
Singapore MAS FEAT
Fairness · Ethics · Accountability · Transparency
Thailand PDPA
Personal Data Protection Act
EU AI Act
Coming as we expand
NIST AI RMF
Coming as we expand

Compliance mapping is interpretive — every output is built to be reviewed alongside qualified counsel, not to replace them.

Join the waitlist

Find out where your AI breaks — before someone else does.

Get early access as we open each layer of the pipeline. Tell us which surface you most need tested — it shapes what we build next.

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