AI Red Teaming

We break your
AI before
they do.

Boutique adversarial testing for early-stage AI products. We find the vulnerabilities in your LLMs, agents, and pipelines before they become your incident report.

rednexus — threat-scan.sh
// target: client-llm-v2 / scope: full

$ run scan --mode adversarial

Prompt injection surface mapped
System prompt extraction — tested
Jailbreak via roleplay — VULNERABLE
Tool misuse / privilege escalation — CRITICAL
Data exfiltration via output — blocked
Indirect injection via             HIGH

── Report generating ──

findings: 3 critical / 2 high / 1 medium
status: action required

$ report ready → rednexus-findings.pdf_
Prompt Injection Jailbreak Testing Agent Red Teaming Tool Misuse System Prompt Extraction Indirect Injection OWASP LLM Top 10 Privilege Escalation Data Exfiltration Goal Hijacking Prompt Injection Jailbreak Testing Agent Red Teaming Tool Misuse System Prompt Extraction Indirect Injection OWASP LLM Top 10 Privilege Escalation Data Exfiltration Goal Hijacking

Your AI ships fast.
Attackers move faster.


AI products are getting pushed to production before anyone has seriously tried to break them. Most early-stage teams don't have the capacity or expertise to run real adversarial testing.

That gap between "it works in demos" and "it's safe under attack" is where incidents happen. Jailbreaks, prompt injections, data leaks, goal hijacking — these aren't theoretical.

RedNexus exists to close that gap. We're a boutique red team that thinks like attackers so your team can focus on building.

97%
of LLM apps are vulnerable to at least one injection attack
4 hrs
median time for a skilled attacker to find a critical LLM flaw
1 in 3
AI startups ship without any adversarial testing

Every surface.
Every attack vector.

01

LLM Red Teaming

Full adversarial testing of your language model integrations. Prompt injection, jailbreaks, system prompt extraction, roleplay exploitation, and refusal bypass across your entire prompt surface.

Most Popular
02

Agentic AI Testing

We stress-test autonomous agents with real-world attack scenarios. Tool misuse, goal hijacking, privilege escalation, and multi-step indirect injection in agent workflows and MCP pipelines.

For AI Agents
03

RAG & Pipeline Audit

Security review of your retrieval-augmented generation setup. Poisoning vectors, exfiltration via context window, data boundary violations, and trust boundary analysis across your pipeline.

Data Security
04

Pre-Launch Assessment

Rapid 5-day adversarial review before you ship. We deliver a prioritized findings report mapped to OWASP LLM Top 10 so your team knows exactly what to fix before going live.

Fast Track
05

Investor Due Diligence

A third-party AI security assessment for founders raising capital or enterprise customers requesting security review. Clean, readable report structured for non-technical stakeholders.

Fundraising Ready
06

Ongoing Retainer

Continuous red teaming as your product evolves. Monthly adversarial testing sprints, threat model updates, and access to our team whenever you ship new AI features.

Continuous

From kickoff to
findings in days.

01

Scoping Call

We map your AI stack, define the threat model, and agree on attack scenarios. 60 minutes.

02

Adversarial Testing

Our red team goes hands-on with your product. Manual testing plus automated attack tooling across all agreed vectors.

03

Findings Report

Prioritized vulnerabilities, reproduction steps, severity ratings, and concrete remediation guidance.

04

Debrief & Fix

We walk your engineering team through every finding. Optional re-test after fixes to verify.

Built for teams
moving fast.

Pre-launch AI startups

You're about to ship. You need to know what's broken before your users find out.

Founders raising Series A

Institutional investors are asking about AI safety. We give you a credible answer.

Teams adding AI to existing products

You've built in LLMs or agents. You're not sure what new attack surface you've opened.

Solo founders and small teams

No internal security function. You need external expertise without enterprise pricing.

"Most AI teams don't get hacked because attackers are sophisticated. They get hacked because nobody bothered to try."

We're a small, focused team with backgrounds in AI safety, offensive security, and LLM research. We don't sell software. We sell expertise, applied directly to your product, delivered fast enough to actually matter before your launch.


Bay Area based. Remote-first. Available within two weeks.

Ready to find out what's broken?

Schedule a free 30-minute scoping call. We'll tell you exactly what we'd test and what it costs. No obligation.

Book a Free Scoping Call