From blocking a jailbreak mid-request to handing an auditor an evidence export, these are the jobs Governance AI and SOC do for teams every day.
Detect and block adversarial prompts, jailbreak attempts, and injected instructions at the gateway — before they reach your model or corrupt an agent’s behaviour.
Automatically detect and mask personal, health, and payment data flowing through chat and API traffic, so sensitive information never reaches a model provider it shouldn’t.
Most organizations underestimate their AI footprint. Obiguard surfaces unsanctioned tools and model calls so security can bring them under policy instead of banning them outright.
Register every AI agent in a living inventory, assign a Policy Set, and route policy violations to the Review Queue before they become incidents.
Coverage against NIST AI RMF, ISO/IEC 42001, OWASP LLM Top 10, AISCF, and MGF for GenAI is computed from your activity, and every decision is written to the Audit Log — so audits are an export, not a fire drill.
CVE Radar streams your dependency graph against live vulnerability feeds and scores upgrade impact, so your team patches what matters instead of chasing every advisory.
SOC correlates logs, metrics, and dependency signals into a single alert view, and drafts a remediation plan in plain language, so responders start from an answer, not a blank page.
Injection, jailbreaks, PII and sensitive-data exfiltration, toxicity, ban lists, and more — 8 model-backed, 5 rule-based.
NIST AI RMF, ISO/IEC 42001, OWASP LLM Top 10, Malaysia’s AISCF, and Singapore’s MGF for GenAI.
CVE Radar and tiered remediation plans, running continuously.
Point your SDK at the gateway; enforce policy when you are ready.
A 20-minute scoping call is enough to map your use case to the right policy, product, and framework — most teams are enforcing it in production within two weeks.
