TrojAI | Detect - AI red teaming that uncovers model risk.

Comprehensive red teaming and protection.

TrojAI delivers more than 150 built-in security and safety tests and lets you create custom tests to find defects in your AI models. Customizable and content-specific policies allow you to fine-tune your testing and ensure the transparency and security of your AI models, applications, and agents.

Prompt injection

Protect against attackers manipulating input data with the intent of altering a model's behavior or output to achieve malicious goals.

Jailbreaking

Prevent attackers from bypassing AI model restrictions to gain unauthorized access, manipulate behavior, or extract sensitive information.

Unbounded model consumption

Block attackers from overwhelming an AI system with excessive requests or data, protecting against model denial of service, service degradation, or high operational costs.

Sensitive information disclosure

Guard against data extraction or data loss that inadvertently exposes, destroys, or corrupts confidential data like PII, IP, source code, or other sensitive data.

Toxic, harmful, and inappropriate content

Stop AI models from generating inappropriate content by implementing robust safeguards and monitoring outputs to ensure they are safe, responsible, and ethical.

Improper output handling

Prevent AI models from generating outputs that could expose backend systems, leading to severe consequences like cross-site scripting, privilege escalation, and remote code execution.

Data and model poisoning

Prevent pre-training, fine-tuning, or embedding data from being manipulated to introduce vulnerabilities, backdoors, or biases compromising security or model behavior.

System prompt leakage

Reduce the risk that the system prompts or instructions used to steer the behavior of the model may contain sensitive information or secrets.

Vector and embedding weaknesses

Stop weaknesses in how vectors and embeddings are generated, stored, or retrieved from being exploited to inject harmful content, manipulate models, or access sensitive data.

Model robustness

Ensure AI models are resilient and perform consistently well under a variety of conditions, including changes in data, input noise, or adversarial attacks.

Explainability and bias

Test AI models for trust, accountability, and bias to understand how the model functions to prevent errors in the errors in the decision-making process.

Model drift

Identify the gradual degradation in an AI model’s performance over time due to changes in the underlying data, environment, or external factors.

Model performance

Evaluate AI model performance to ensure it delivers accurate, fair, and reliable results while also meeting both business and regulatory requirements.

Misinformation

Stop AI models from producing false or misleading information that appears to be credible.

Auto red teaming using advanced methodologies.

TrojAI Detect supports a wide range of advanced red teaming methodologies so that you can be sure your models are secure.

Static

Established benchmark datasets are used to test the behavior of the model.

Manipulated

Manipulated inputs created by an algorithm are used to evaluate model behavior.

Dynamic

An LLM is used to attack the model, while another LLM judges the success of the attack.

Dashboard showing attack success rate in red and check success rate in green for three test runs, with percentages 6%, 24%, 59% for attacks and 96%, 78%, 56% for checks, and a button labeled New Pentest Run.

Prioritize and mitigate risk.

Beyond detection, TrojAI prioritizes flaws based on severity, enabling you to disarm potential threats, reduce your risk, and protect against financial and reputational damage.

Complete coverage for all models.

TrojAI Detect supports AI red teaming for tabular, NLP, and LLMs in commercial, open source, or custom models.

Commercial models

Open source models

Custom models

Comprehensive reporting with actionable insights.

Take visibility to the next level. Automatically create reports segmented by policy or test that easily map to AI security standards like OWASP, MITRE, and NIST.