RTCS AI RedGuard™
AI Security & AI Red Teaming Done Right
RTCS secures AI systems, models, applications, and agents by uncovering critical risks before attackers weaponize them.
- AI Security Experts
- Adversary Focused
- Real-World AI Attacks
- Actionable Insights
Platforms We Test
We test AI platforms, agents, and the apps built on them
We evaluate authorized AI applications and workflows using frontier models, cloud AI platforms, agent frameworks, and LLM integrations, including direct prompt-injection and red-team testing in approved environments.
xAI
AWS
nova
cohere
Azure
DeepSeekTesting is performed only under authorized scope, approved tenants, customer-owned applications, or permitted sandbox environments.
AI Risks Are Real
New technology. New threats.
Prompt Injection
Manipulate model behavior, override instructions, and bypass safeguards.
Data Leakage
Expose sensitive context, prompts, training artifacts, or confidential information.
Model Manipulation
Test jailbreaks, poisoning paths, behavioral drift, and adversarial response patterns.
Tool & Agent Abuse
Assess agent workflows, plugins, function calls, and tool-use boundaries.
Policy Bypass
Validate guardrails, content filters, safety logic, and business-policy enforcement.
Our AI Red Teaming Solutions
Secure every layer of your AI ecosystem
AI RedGuard™
Essentials
Continuous AI security validation for modern AI applications.- AI Security Testing
- Prompt Injection Testing
- Baseline Risk Assessment
- Actionable Reporting
AI RedGuard™
Advanced
In-depth AI red teaming with adversarial emulation.- Advanced Red Teaming
- Adversarial Prompt Testing
- Model Behavior Analysis
- Code & Plugin Exploitation
- Custom Attack Scenarios
AI RedGuard™
Enterprise
Comprehensive AI security for complex enterprise environments.- Full-Scope Red Teaming
- Multi-Model & Agent Testing
- Data & Model Exfiltration Review
- Supply Chain Analysis
- Security Advisory Report
Our Methodology
Built like attackers. Think like defenders.
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01
Scope & Discovery
Map your AI ecosystem, models, data flows, agents, and exposed attack surfaces.
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02
Threat Modeling
Identify realistic adversaries, abuse paths, high-impact workflows, and business impact.
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03
Red Team Engagement
Execute authorized adversarial testing against AI apps, models, agents, and controls.
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04
Analyze & Validate
Validate findings, assess impact, reduce noise, and prioritize exploitable risks.
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05
Report & Remediate
Deliver clear reporting, remediation guidance, and executive-ready risk narratives.
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06
Retest & Strengthen
Verify fixes and harden your AI systems against future threats.
Why RTCS
The world's go-to AI security partner
Offensive AI Experts
Elite hackers with deep AI and ML security experience.
Real-World Methods
We use adversary tradecraft, not generic checklists.
Cutting-Edge Research
We continuously research emerging AI threats and attack paths.
Actionable Outcomes
Clear prioritized fixes that reduce real business risk.
Global Delivery
Remote-first AI security assessments for teams worldwide.
Watch the Research
Watch AI Red Teaming in Action
See how RTCS approaches AI red teaming, prompt-injection testing, model behavior analysis, and guardrail validation in practical environments.
AI Security FAQ
AI Red Teaming Questions Buyers Ask
Clear answers for teams evaluating AI security testing, LLM red teaming, prompt injection testing, AI agent security, and model risk validation.
AI red teaming is a structured security assessment where authorized testers simulate adversarial attacks against AI systems, LLM applications, AI agents, prompts, retrieval pipelines, guardrails, and model-connected workflows to identify exploitable risks before attackers do.
RTCS AI RedGuard is Red Threat Cyber Security's AI security and AI red teaming service for LLM applications, AI agents, model integrations, RAG systems, plugins, workflows, and AI-enabled products.
Yes. RTCS tests direct prompt injection, indirect prompt injection, system prompt leakage, instruction override attempts, jailbreak behavior, policy bypass, context manipulation, and prompt-based business logic abuse in approved environments.
Yes. RTCS tests AI agents, tool calls, plugins, function calling, workflow automation, retrieval actions, permissions, escalation paths, and agent misuse scenarios that could lead to unauthorized actions or data exposure.
Yes. RTCS can assess customer-owned AI applications, agents, workflows, integrations, and approved sandbox environments built on major AI platforms and model providers, including OpenAI, Claude, Gemini, Mistral, Grok, AWS Bedrock, Amazon Nova, Cohere, Meta Llama, Azure OpenAI, DeepSeek, and Hugging Face.
Yes. RTCS evaluates whether AI systems can expose sensitive prompts, private context, retrieval data, internal documents, customer data, hidden instructions, API responses, or unintended model outputs through adversarial testing.
Yes. Traditional penetration testing focuses on application, infrastructure, API, and access-control weaknesses. AI red teaming focuses on AI-specific attack paths such as prompt injection, jailbreaks, guardrail bypass, model behavior manipulation, agent abuse, RAG leakage, and tool misuse.
Yes. RTCS AI RedGuard reports can support AI risk management, vendor due diligence, internal governance, compliance readiness, executive decision-making, remediation planning, and ongoing AI security program improvement.
Protect today. Prepare for tomorrow.
Ready To
Secure
What
Matters?
Talk to our experts and build a security program that protects your people, data, applications, AI systems, and future.