Simulate adversarial inputs, jailbreak attempts, and manipulation scenarios to expose vulnerabilities—fortifying LLMs and other AI models against real-world threats.
Get a demo
Request a Demo
The Challenge
Key risks and roadblocks this solution is built to address.
Hidden Risks and Misuse
LLMs are vulnerable to prompt injection, jailbreaks, and adversarial inputs that bypass safety filters and content policies.
Undetected Failure Modes
Standard evaluations often miss emergent behaviors, hallucinations, and edge-case exploits seen in real-world deployments.
Lack of Robustness Evidence
Most teams lack audit-ready reports, attack logs, and documented remediation steps to prove systems were tested against misuse scenarios.
How It Works
Core features that make this solution effective.
Multi-Faceted Stress Testing
Runs diverse adversarial attacks, prompt injection, and jailbreak attempts across edge cases and high-risk scenarios for ML models and LLMs.
Automated Attack Generation
Produces targeted manipulation scenarios and failure mode simulations tailored to your AI models.
Actionable Reporting and Remediation
Delivers structured, audit-ready reports with resilience findings, risk insights, and recommended mitigation steps.
Get a demo
Request a Demo
Business Impact
Results you can expect from this solution.
Reduces Risk
Surfaces and addresses adversarial vulnerabilities before they cause harm or violate governance standards.
Strengthens Security
Improves model resilience through continuous robustness testing and stress simulation.
Enables Trust
Builds stakeholder confidence with documented evidence of AI system safety and preparedness.
Platform Integration
How this connects to Holistic AI’s full governance platform.
Protect
AI Red Teaming works with System Testing and Risk Management to build stronger defenses, improve model robustness, and protect against adversarial attacks.
By clicking “Accept”, you agree to the storing of cookies on your device to enhance site navigation, analyze site usage, and assist in our marketing efforts. View our Privacy Policy for more information.
