Obiguard gives security teams the controls, visibility, and evidence they need to govern AI the same way they govern every other critical system in their stack.
A live dashboard shows threats blocked, violations by severity, token usage, and cost — per agent, per project, across your entire org.
Policy decisions happen synchronously. A blocked prompt never reaches the model. A redacted response never reaches the user. No async lag.
Out-of-the-box coverage for prompt injection and jailbreaks, PII exfiltration, NSFW and toxic content, profanity, ban lists, and competitor mentions — plus keyword, regex, and LLM-judge criteria you write yourself.
Stream every event — prompt, response, tool-call, decision — to Splunk, Sumo Logic, Datadog, or any SIEM via webhook or S3.
Run Project Moonshot benchmarks and attack modules against a registered agent — jailbreak resistance, privacy leakage, safety and bias — and get a graded result per recipe before the agent ships.
A nightly job samples yesterday’s traces and scores them for toxicity, bias, misinformation, and privacy leakage — catching the drift a static policy cannot describe in advance. Fully asynchronous, never on the request path.
A 20-minute scoping call is enough to design your policy model and estimate deployment time. Most security teams are enforcing policy in production within two weeks.