Synack's Security Testing Bundle for AI/LLM Chatbots

Synack secures the AI systems you deploy, and uses AI to do it. As organizations ship LLM-powered chatbots and agents, new risks emerge: prompt injection, sensitive-data leakage, insecure output handling, and the rest of the OWASP LLM Top 10. Synack pairs Sara, the Synack Autonomous Red Agent, with the specialized skills of the Synack Red Team (SRT) to continuously test your AI/LLM applications for exploitable weaknesses, validating what's real and delivering prioritized, actionable findings. It's the same AI- and human-powered platform trusted across your web, API, network, and cloud attack surface, now applied to your AI.

Synack AI/LLM Content and Bias Audit

Synack’s AI Content and Bias Assessment goes beyond cybersecurity vulnerabilities to assess generative AI applications for content violations and evidence of bias that can affect these domains.

Content auditing checks for:

Content accuracy, i.e. can the AI be made to state falsehoods

Content violations, i.e. suggestions of violence or overly sexual content

Relevance, i.e. off-topic information or commentary in unrelated domains

Privacy/secrecy violations, i.e. disclosing classified information

Bias is checked across a spectrum of categories such as:

Gender/Sex

Politics

Race

Age

Religion

Methodology:

The SRT has performed millions of hours of cybersecurity testing and delivered 70K+ exploitable vulnerabilities throughout their tenure. When you initiate an AI/LLM content and bias audit, they probe the target to see if the AI/LLM exhibits bias or gives concerning responses.

These results will be made available in the Synack Platform in real-time, just like vulnerabilities.