AI Security & Red Team Testing
Find the vulnerabilities before your users do. We red team your AI systems for prompt injection, data leakage, jailbreaks, and compliance violations — then show you exactly how to fix them.
You wouldn't deploy a web app without a penetration test. Your AI deserves the same rigor.
Your AI Is Live.
Has Anyone Tried to Break It?
Most companies deploy AI applications with guardrails they wrote themselves and tested with friendly inputs. In production, users are creative, adversarial, and relentless. Prompt injection can bypass 90% of naive guardrails in under five minutes. A single data leakage incident can expose CUI, PII, or proprietary data to users who should never see it.
We test your AI systems the way attackers will — with automated adversarial scanning across 1,000+ attack vectors and manual expert probing for domain-specific vulnerabilities. You get a scored report, reproduction steps for every finding, and a prioritized remediation plan.
What We Test
Prompt Injection
Direct and indirect injection attacks that manipulate your AI into ignoring system instructions, revealing internal prompts, or executing unauthorized actions.
Jailbreaks
Techniques that bypass safety guardrails — persona switching, encoding tricks, multi-turn escalation, and model-specific exploits that evolve with every model update.
Data Leakage
Probing for PII exposure, CUI spillage, proprietary data extraction, and training data memorization. Critical for ITAR, CMMC, and SOC 2 environments.
Harmful & Off-Topic Output
Testing whether your AI can be manipulated into generating inappropriate, dangerous, or off-brand content that creates liability or reputational risk.
Compliance Violations
Verifying that your AI respects regulatory boundaries — export control classifications, professional liability disclaimers, financial advice restrictions, and industry-specific requirements.
Authorization & Access Control
Testing whether users can access data beyond their clearance level through conversational manipulation — a critical concern for multi-tenant and defense applications.
How It Works
Discovery & Configuration
Inventory AI applications in scope. Document system prompts, integrations, and data flows. Configure test harnesses. Define success criteria and risk thresholds with your team.
Red Team Execution
Automated adversarial testing across 1,000+ attack vectors plus manual expert probing for domain-specific vulnerabilities. Every finding documented with severity rating and reproduction steps.
Reporting & Remediation
Executive summary with risk scorecard. Detailed technical report with prioritized remediation recommendations. Working session to review findings with your engineering and security teams.
Validation
Re-test after your team implements fixes. Confirm vulnerabilities resolved. Issue security attestation documenting tested scope and results.
What You Get
Executive Risk Scorecard
One-page pass/fail assessment across all tested categories — prompt injection, data leakage, jailbreaks, compliance, access control, and harmful output. Board-ready summary your leadership team can act on.
Detailed Vulnerability Report
Every finding documented with description, severity rating (Critical/High/Medium/Low), evidence screenshots, reproduction steps, and specific remediation guidance. No ambiguity about what's broken or how to fix it.
Remediation Roadmap
Prioritized fix list scored by effort and impact. Critical vulnerabilities with quick fixes first. Architectural recommendations for systemic issues. Timeline estimates for each remediation item.
Validation & Attestation
After your team implements fixes, we re-test to confirm vulnerabilities are resolved. You receive a security attestation documenting the tested scope, methodology, and results — useful for compliance audits and customer trust.
Mapped to the Frameworks That Matter
Our testing methodology maps directly to established security and AI governance frameworks. Every finding references the relevant standard so your compliance team knows exactly where it fits.
OWASP LLM Top 10
The industry standard for LLM security risks — prompt injection, insecure output, training data poisoning, and more.
NIST AI RMF
The NIST AI Risk Management Framework for governing, mapping, measuring, and managing AI risk.
ISO 42001
The international standard for AI management systems — governance, risk, and responsible AI deployment.
CMMC / SOC 2
Industry-specific compliance mapping for defense contractors (CMMC Level 2) and SaaS providers (SOC 2 Type II).
Clear Scope. Defined Deliverables.
- One AI application in scope
- 1,000+ automated attack vectors
- Manual expert red teaming
- Vulnerability report with remediation plan
- 2-week timeline
- Up to 5 AI applications in scope
- Cross-application attack surface analysis
- Manual expert red teaming per application
- Consolidated enterprise risk scorecard
- Executive presentation of findings
- 3-week timeline
- Monthly automated security scans
- Quarterly detailed reports
- Incident alerting for critical findings
- Coverage for new attack techniques
- Model update regression testing
Don't Wait for the Incident Report.
CMMC 2.0 is here. Your users are creative. Your AI needs a red team before production — not after the first breach.