> ## Documentation Index > Fetch the complete documentation index at: https://docs.beyondguard.ai/llms.txt > Use this file to discover all available pages before exploring further. # AI Red Teaming Assessment with BeyondGuard Security > Use BeyondGuard's Red Teaming Assessment to quantify your AI security exposure and get a scored findings report before deploying runtime guards. A Red Teaming Assessment is an adversarial evaluation of your AI system — deliberately testing it against real attack patterns to identify vulnerabilities before they can be exploited in production. Rather than waiting for threats to appear in runtime logs, red teaming lets you discover and measure your exposure proactively, giving you the evidence you need to prioritize guard deployment and tune policies with confidence. ## What Is AI Red Teaming? In traditional security, red teaming means putting a skilled adversarial team against your defenses to find weaknesses before real attackers do. AI red teaming applies the same principle to large language model systems: security experts, automated attack frameworks, or a combination of both attempt to break your AI application using known attack techniques. AI systems present a uniquely broad attack surface. A single model endpoint may be vulnerable to prompt injection, jailbreaks, system prompt extraction, RAG poisoning, excessive agency in agentic workflows, and more — often simultaneously. Standard penetration testing methodologies were not designed to evaluate this threat landscape. AI red teaming requires techniques purpose-built for the behaviors and failure modes specific to LLM-based systems. The goal of red teaming is not to show that your system is broken — it is to discover exactly where the gaps are, how severe they are, and what it would take for an attacker to exploit them. That information directly drives the configuration of your BeyondGuard deployment. ## BeyondGuard Red Teaming Assessment BeyondGuard's Red Teaming Assessment is a structured adversarial evaluation service with several characteristics that distinguish it from generic security assessments. **No runtime deployment required.** The assessment can be conducted before you have deployed any BeyondGuard guards or made any changes to your existing infrastructure. You do not need to integrate an SDK or modify your application to receive a Red Teaming Assessment. This makes it the natural first step for organizations that want to understand their exposure before committing to a deployment plan. **Full threat model coverage.** The assessment tests your AI stack against the complete range of known attack techniques, including: * Direct and indirect prompt injection * Jailbreak and alignment bypass attempts * System prompt extraction * RAG corpus poisoning and retrieval manipulation * Agentic plan deviation and tool abuse * MCP schema exploitation * PII and credential exfiltration via output * Supply chain integrity issues **Scored vulnerability report.** Every finding is scored by severity — critical, high, medium, or low — so you can prioritize remediation and guard configuration based on actual risk rather than theoretical threat models. **OWASP and maturity mapping.** Findings are mapped to the OWASP LLM Top 10 categories and to BeyondGuard's maturity model (L0 through L5), giving you a clear picture of where your organization sits today and what controls are needed to advance to the next level. ## What You Get A completed BeyondGuard Red Teaming Assessment delivers the following artifacts: * **Executive summary** — a high-level overview of your AI security posture, including an overall risk score and your current maturity level on the L0–L5 scale. This document is designed for security leadership and executive stakeholders. * **Detailed findings by threat category** — a full technical breakdown of every vulnerability discovered during the assessment, organized by OWASP LLM Top 10 category. Each finding includes the attack technique used, the system behavior observed, and a severity rating. * **Recommended Guard configuration** — a prioritized deployment plan specifying which BeyondGuard guards to enable first, which policies to configure, and which sensitivity thresholds are appropriate for your specific threat profile. * **Improvement baseline** — a quantified starting point against which you can measure the impact of deploying BeyondGuard guards. After deployment, you can request a follow-up assessment or use Threat Event dashboards to track improvement over time. ## How to Request an Assessment Requesting a Red Teaming Assessment is straightforward. 1. **Contact BeyondGuard** — reach out to your account team or submit an assessment request through the BeyondGuard Control Plane under **Assessments → Request Red Team**. 2. **Scope the assessment** — work with the BeyondGuard team to define the scope: which AI applications or pipelines to evaluate, the depth of testing, and any constraints on the assessment environment (for example, whether production traffic can be used or whether testing must be conducted in a staging environment). 3. **Receive your findings report** — BeyondGuard delivers the full findings report at the conclusion of the assessment engagement, along with a briefing session to walk through the results and recommended next steps. A Red Teaming Assessment is strongly recommended before switching any guard to Enforcement Mode. The assessment gives you scored, evidence-based data to tune your policies confidently — so that when enforcement activates, it is calibrated to your actual threat environment rather than generic defaults. Once you have your assessment results in hand, use the recommended Guard configuration to guide your deployment sequence. See [Deploy BeyondGuard Guards Across Your AI Application Stack](/guides/deploying-guards) for the step-by-step deployment process.