RedBolt is winding down operations and closing the company.
We cannot fully express our deep gratitude for your business and support.
Our last effective day of operations will be July 10th, 2026.
Please get in touch with us at hello@redbolt.ai with any questions or comments.
Sincerely,
RedBolt Team
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.
Redbolt AI pairs AI red-teaming with cutting edge guardrails to detect and stop vulnerabilities—from prompt injection to advanced adversarial attacks.
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.
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.
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.
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.
From classic DAN prompts to nuance-driven Riley Goodside variants, Garak's extensive library of jailbreak patterns blocks any attempt to circumvent your policies.
Some queries should never be answered—whether they request disallowed content or sensitive secrets. Garak enforces responsible refusal behavior on every turn.
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.
Unusual token sequences can provoke unpredictable model behavior. Garak spots and neutralizes these "glitch" triggers before they derail your agent.
Memory leaks and package hallucinations: We test for unauthorized replay of training data and simulate recursive hallucination probes to prevent cascading wrong answers.
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.
We run subsets of the RealToxicityPrompts and custom "misleading" probes to ensure your agent never inadvertently endorses false claims or toxic language.
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.