[ 01 ] — Solution — AI Security
Ship AI features with evidence they are safe.
Combine AI red teaming, bug bounty scope for AI assets and continuous model testing into one AI assurance program.
How do you secure an AI application?
Securing an AI application means testing the model, its prompts, the data it can reach and the tools it can call. Combine adversarial AI red teaming before launch with ongoing bug bounty coverage and clear limits on what the AI is allowed to do.
[ 02 ] — Capabilities
Model & agent testing
Jailbreaks, injection and tool abuse.
Data leakage
Training data and PII extraction attempts.
Governance evidence
Artifacts for AI risk committees and regulators.
Continuous coverage
Retest every model update.
[ 04 ] — Questions people ask
Why use an AI-native platform for AI security?+
AI products change quickly. AutoVAPT AI tests the surrounding apps continuously while specialists handle prompt injection and model abuse.
[ 05 ] — Related
AI Red Teaming
Specialist researchers probe LLMs, agents and AI features for jailbreaks, prompt injection, data leakage and harmful output.
Bug Bounty
Invite thousands of skilled researchers to attack your scope continuously. You only pay when a valid, unique vulnerability is reported.
AutoVAPT AI
AutoVAPT AI, from our sister company AutoVAPT.ai, uses AI agents to discover, exploit and validate vulnerabilities continuously. On BugsBounty.com it works alongside vetted human researchers, who hunt what automation misses.
[ ∞ ] — Next step