AI systems introduce vulnerabilities that traditional security testing doesn't cover. We red team your models, chatbots, agents, and tool integrations to find exploitable weaknesses before they become incidents.
Schedule an AI Security TestWe craft inputs designed to override system instructions, inject new directives, or alter your AI's behavior. This includes both direct injection (user-supplied prompts) and indirect injection (malicious content embedded in data the AI processes).
We attempt to bypass your AI's safety guardrails, content filters, and usage policies through adversarial techniques — role-play exploits, encoding tricks, multi-turn manipulation, and context window attacks.
We probe for ways an attacker could extract system prompts, training data, PII, proprietary context, or RAG source content. This includes conversation history leakage, cross-session bleed, and embedding inversion techniques.
If your AI can call APIs, query databases, execute code, browse the web, or trigger workflows, we test whether those capabilities can be weaponized — unauthorized data access, privilege escalation through tool chains, or unintended side effects.
Whether you're using a foundation model API, fine-tuning your own, or deploying autonomous agents — we scope the test to match your architecture.
Support bots, sales assistants, and any AI your customers interact with directly.
Developer copilots, document Q&A systems, HR bots, and AI-powered internal workflows.
Autonomous agents that take actions, chain tool calls, or operate with delegated authority.
Models you've fine-tuned on proprietary data — we test for memorization, leakage, and behavioral drift.
Systems that pull from document stores, knowledge bases, or databases to ground AI responses.
Applications built on OpenAI, Anthropic, Google, or other model APIs — we test the integration layer.
We review your AI system architecture — model provider, prompts, tools, data sources, access controls, and deployment context — to define the test surface.
We identify the most relevant attack vectors based on your architecture. A RAG chatbot faces different threats than an autonomous agent with database access.
We execute manual and semi-automated attacks against your AI — prompt injection, jailbreaking, data extraction, tool abuse, and logic manipulation.
You receive a detailed findings report with severity ratings, reproduction steps, and specific remediation guidance. We walk your team through every finding.
After you implement fixes — prompt hardening, guardrail updates, tool permission changes — we retest to validate the mitigations hold.
Every vulnerability documented with severity rating, attack transcript, and screenshots.
Non-technical overview for leadership — what was tested, what was found, and the business impact.
Specific fixes — prompt hardening, guardrail configurations, tool permission changes, architectural recommendations.
After remediation, we retest to confirm your fixes hold against the same attack vectors.
Live walkthrough of findings with your engineering, product, and security teams.
A jailbroken chatbot doesn't just produce bad output — it can leak customer data, damage your brand, trigger regulatory action, or give attackers a foothold into your systems through tool integrations.
AI systems with access to customer data, documents, or databases can be manipulated into revealing information they were never meant to share. This is a compliance and liability issue — not just a technical one.
A customer-facing AI that can be jailbroken into producing harmful, offensive, or misleading content is a PR incident waiting to happen. Social media amplifies these failures instantly.
The EU AI Act, NIST AI RMF, and emerging state-level AI regulations increasingly require testing and documentation of AI system risks. Proactive red teaming demonstrates due diligence.
An AI with tool access is an attack surface. If an attacker can manipulate the AI into calling APIs, writing to databases, or triggering workflows, the blast radius extends far beyond the conversation.
Whether you're about to launch a new AI product, need to validate an existing deployment, or want to understand your exposure before a compliance audit — we'd like to hear from you.