AI and LLM models are only as secure as their inputs, data pipelines, and context layers. Redbot Security’s human-led AI red teaming identifies how real attackers exploit prompt logic, retrieval pipelines, and guardrail weaknesses… before they do.
AI systems are fast becoming part of critical business operations, but they’re also becoming prime targets. Redbot Security’s AI & LLM Security Testing Services deliver human-led adversarial testing that exposes weaknesses automation can’t see. We simulate real-world prompt injection, RAG poisoning, and AI exploitation techniques to harden your defenses before attackers strike.
Our U.S.-based Red Team engineers combine advanced adversarial simulation with real-world testing methodology to uncover risks that automation and scanners can’t see. From prompt injection to RAG poisoning, tool abuse, and context leakage, we test the logic and trust boundaries that define how your AI behaves.
We begin by mapping your AI ecosystem, models, data stores, vector databases, APIs, and agentic components. This helps identify where trust boundaries, inputs, or contextual dependencies may be exploited.
Our team executes controlled, realistic attacks including prompt injection, retrieval poisoning, function-chain manipulation, data exfiltration, and context corruption. Each exploit is validated for impact and repeatability.
We collaborate with your technical team to strengthen defenses, implement content filtering, and validate mitigations through adversarial re-testing.
We deliver a complete risk package, technical findings, exploit transcripts, compliance crosswalks, and executive summaries mapped to NIST, OWASP, and MITRE frameworks.
Common AI Vulnerabilities We Test For:
Prompt Injection Attacks: Hidden or indirect commands overriding security rules.
RAG Poisoning: Malicious data injections corrupting retrieval layers.
Tool & API Abuse: Function calls and connectors manipulated for privilege escalation.
Context Leakage: Sensitive data or logic revealed through conversation.
Data Exfiltration: Unauthorized extraction of internal system data.
Model Misalignment: Behavioral drift or loss of ethical boundaries over time.
Our adversarial methodology validates actual exploitability, not theoretical risk, so your team knows exactly what needs to be fixed.
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Redbot Security stands apart because every engagement is executed by U.S.-based senior engineers, never outsourced overseas, never crowdsourced. Our team delivers manual adversarial testing, not automated scans, ensuring that every finding represents a real-world threat, not a false positive.
With cross-disciplinary expertise spanning Red Team operations, AI security, and penetration testing, we bring a holistic understanding of how modern systems are attacked and how they truly fail. Each engagement produces actionable, validated results, ranked and mapped to measurable business impact.
At Redbot Security, we don’t test to check boxes, we test to reveal how your AI actually fails, and then we help you fix it.
Each engagement delivers a clear roadmap for improvement:
Executive Summary: Business impact, key risks, and recommendations.
Exploit Proofs: Full attack transcripts and chain-of-events detail.
Compliance Mapping: Crosswalks for NIST AI RMF, OWASP LLM Top 10, and MITRE ATLAS.
Hardening Playbook: Actionable technical steps with validation retesting.
Optional Attestation Report: For audit and governance assurance.
Experience Premier Penetration Testing that moves the security needle, without breaking the bank! Expert-led, impact-focused, and built to keep costs under control.
1. Submit Your Info
Complete our quick form to tell us about your environment, asset scope, or compliance needs.
2. Expert Review
A senior Redbot engineer, not a junior technician, will review your submission and begin crafting a tailored approach.
3. Scoping Call (Optional)
If needed, we’ll schedule a brief call to clarify priorities, timelines, and technical requirements.
4. Transparent Quote Delivered
You’ll receive a clear, fixed-cost proposal, no hidden fees, no bloated bundles.
5. Service Kickoff
Once approved, we move fast. Most projects start within 5-7 business days with full project support.
