Secure AI before it becomes your next incident.

AI red teaming is authorized, scoped adversarial testing of AI-enabled systems. We evaluate how an LLM application, RAG pipeline, or agentic workflow can be manipulated, abused, or escalated — across prompts, retrieval, tools, identity, and data boundaries — and deliver risk-ranked findings with remediation guidance. Every engagement runs under written authorization and agreed rules of engagement.

Traditional penetration testing targets networks, hosts, and applications with known vulnerability classes. AI-enabled systems add new attack surfaces — prompt and context manipulation, retrieval poisoning, tool and function-call abuse, agent delegation, model supply chain risk — that standard test plans were never designed to cover. We test both layers, because attackers will not respect the org chart between your AppSec and AI teams.

When it is appropriate and authorized, yes. Scope, environment, and safety constraints are agreed in writing before any testing begins. Many engagements combine staging-environment adversarial testing with production-side architecture and control review to avoid operational impact.

Yes. We design AI governance operating models, AI risk management processes, and control frameworks aligned to NIST AI RMF, ISO/IEC 42001, and the OWASP GenAI Security Project — built to run inside your existing risk and compliance structure rather than beside it.

Yes. RedCell Build designs and develops production-grade AI applications — secure RAG systems, internal copilots, agentic workflows, and SOC and compliance automation — with security engineering, evaluation, and abuse testing integrated from the start.

Yes. RedCell Academy delivers private enterprise training, executive and board workshops, practitioner bootcamps, custom cyber ranges, and tabletop exercises. Courses include certificates of completion and can be tailored to your environment and threat model.

Regulated and mission-critical environments are our focus: government and public sector, healthcare, financial services, critical infrastructure, and energy. Our team has deep experience advising complex enterprise and public-sector environments.

Yes. All RedCell Academy courses include certificates of completion suitable for internal training records and continuing education documentation.

No. Engagements are scoped to your environment, objectives, and risk profile. Email info@cyai.io to discuss scope and receive a proposal.

We serve organizations across the United States, with delivery both remote and on-site. We are based in the Dallas–Fort Worth area, which is convenient for Texas organizations but not a constraint on where we work.

Yes. We run ISO/IEC 42001 readiness assessments, NIST AI RMF alignment work, and combined roadmaps that map your AI controls once and reuse the evidence across frameworks.

Yes — that is the core of our AI red team practice. We test RAG pipelines and vector databases, agentic workflows, MCP servers and tool integrations, A2A communication paths, and the identity and data boundaries that connect them to your enterprise.