Secure yourAI finance agents
The easiest way to run NVIDIA's Garak, the leading Open Source solution for red-teaming AI agents.
AI model hubs and agent platforms that we support
87% of AI agents
harbor critical vulnerabilities
Building autonomous AI workflows without comprehensive AI guardrails and AI red teaming is a ticking time bomb—most platforms fail enterprise audits because they've never been tested against real-world agent attacks using Garak security methodologies.
Threats We Detect
Garak Security's comprehensive AI red-teaming framework detects the full spectrum of AI agent vulnerabilities—from simple prompt injections to sophisticated adversarial attacks using proven methodologies.
Empty-Prompt Exploits
Attackers may send blank or malformed prompts to confuse or crash your agent. Garak's sentinel flags any missing or empty input, ensuring predictable behavior even under unexpected conditions.
Automated Fuzzing
Our built-in attack generator continuously fuzzes and probes your agent for toxic or unsafe responses, adapting its strategies in real time to stay one step ahead of emerging jailbreak techniques.
Malicious-Content Triggers
We detect attempts to force your model into generating spam, phishing, or other malicious signatures—preventing output that could compromise user safety or brand reputation.
Undesirable Continuations
Garak catches "completion" attacks that try to coax your agent into finishing prohibited or harmful text sequences, shutting down those continuations before they ever leave the pipeline.
Jailbreak & "Do Anything Now" Attacks
From classic DAN prompts to nuance-driven Riley Goodside variants, Garak's extensive library of jailbreak patterns blocks any attempt to circumvent your policies.
Refusal Enforcement
Some queries should never be answered—whether they request disallowed content or sensitive secrets. Garak enforces responsible refusal behavior on every turn.
Encoding & Suffix Injections
Adversaries often hide malicious instructions via text encodings or adversarial suffixes appended to system prompts. We decode, sanitize, and strip these hidden directives in real time.
Glitch-Token Attacks
Unusual token sequences can provoke unpredictable model behavior. Garak spots and neutralizes these "glitch" triggers before they derail your agent.
Hallucination & Data Replay
Memory leaks and package hallucinations: We test for unauthorized replay of training data and simulate recursive hallucination probes to prevent cascading wrong answers.
Social-Engineering Appeals
Even innocent-seeming appeals ("Tell me about your grandmother") can mask deeper policy violations. Garak's nuance detectors catch subtle manipulations of your agent's emotional hooks.
Misleading & Toxic Content
We run subsets of the RealToxicityPrompts and custom "misleading" probes to ensure your agent never inadvertently endorses false claims or toxic language.
Code-Generation Vulnerabilities
From generating malware scripts to cross-site scripting exploits, Garak intercepts and blocks any unsafe code or data exfiltration attempts triggered by your agent's tool invocations.