Adversarial AI Security Testing
Test your LLM-powered applications against real-world attack scenarios. Our red team agents simulate sophisticated adversaries to find prompt injection, jailbreaks, data exfiltration, and all OWASP LLM Top 10 vulnerabilities before attackers do.
AI systems face unique attack vectors that traditional security testing doesn't cover. Prompt injection is now the #1 vulnerability in enterprise AI deployments.
Red teaming finds vulnerabilities before attackers do. Our automated agents simulate real-world adversaries at scale, testing thousands of attack variations.
Complete testing coverage for all OWASP LLM Top 10 (2025) vulnerability categories
Manipulating LLM behavior through crafted inputs
Unsafe use of LLM outputs in downstream systems
Manipulation of training data to compromise model behavior
Resource exhaustion attacks against LLM systems
Compromised dependencies and third-party models
Leaking confidential data through model outputs
Unsafe tool and plugin implementations
LLM taking actions beyond intended scope
Blind trust in LLM outputs without validation
Extraction of proprietary model weights and behaviors
Automated red team agents execute thousands of attack variations against your AI systems
Define your AI system endpoints, authentication, and scope
Choose structured, adversarial, or hybrid testing approach
Our red team agents execute attacks at scale
Get prioritized findings with remediation guidance
Customer-facing chatbots and conversational AI
LLM-powered APIs and backend services
Autonomous AI with tool access and actions
Retrieval-augmented generation systems
Choose the approach that fits your security requirements
Systematic coverage of all OWASP LLM Top 10 categories with documented test cases and reproducible findings.
Simulated attacker behavior using creative, evolving attack chains that mirror real-world threat actors.
Combines structured coverage with adversarial creativity for comprehensive security validation.
From point-in-time assessments to continuous security testing
Point-in-time assessment for pre-launch validation
Regular assessments aligned with release cycles
Rapid iteration testing for agile development
Ongoing testing integrated into CI/CD pipelines
Test your AI system before launch to find and fix vulnerabilities before attackers do.
Continuous testing for deployed AI systems to catch vulnerabilities introduced by updates.
Generate evidence for security controls required by ISO 42001, SOC 2, and other frameworks.
Assess third-party AI systems before integration to understand security risks.
Red team findings automatically map to trust assessment controls, providing evidence for your security posture without manual data entry.
Start red teaming your AI systems today. Our agents test thousands of attack variations so you don't have to.