HackerSavanna
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AI Security

Red teaming for the AI features already shipping inside your product.

AI powered features introduce a new class of risk that traditional security testing was not built for, prompt injection, unsafe tool calling, and models that leak training or context data. HackerSavanna researchers specialize in probing LLM powered applications for exactly these failure modes.

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What's Included

Every capability HackerSavanna brings to this program.

Prompt Injection Testing
Researchers probe both direct and indirect prompt injection paths, including injected content from documents, web pages, and tool outputs.
Unsafe Tool and Function Calling
Test whether an LLM agent can be manipulated into calling tools or functions outside its intended scope, from data exfiltration to unauthorized actions.
Data and Context Leakage
Check whether a model can be coaxed into revealing system prompts, other users' context, or sensitive training data.
Jailbreak Resistance
Researchers attempt to bypass safety guardrails and content policies using the same techniques circulating in the wild.
Agentic Workflow Review
Multi step agents and autonomous workflows are tested for cascading failures where one manipulated step compromises the rest of the chain.
Traditional Security Still Applies
The infrastructure around your AI features, APIs, authentication, and data storage, is tested with the same rigor as any other part of your stack.

Why It Matters

Most AI security incidents so far have not come from the model itself being broken. They come from applications trusting model output the same way they would trust validated user input, or giving an agent more tool access than the application actually needs to defend.

HackerSavanna researchers test the whole system around your AI features, not just the prompt, because that is where most real world exploitation actually happens.

How HackerSavanna Helps

  • Access to a vetted community of researchers already active on the platform, ready to start as soon as your program opens.
  • Every submission passes through HackerSavanna's triage team, so you only review validated, deduplicated reports.
  • Flexible program structure, private or public, reward based or recognition based, scoped to exactly what you need tested.
  • Safe harbor protections and clear disclosure guidelines that keep researchers and your team on the same page.
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Red Team Your AI Features

Get your LLM powered features tested by researchers who specialize in prompt injection, tool calling abuse, and agentic workflow risk.

200+
Researchers
3 days
Avg. triage time
100+
Vulnerabilities
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