Guardium AI

Company overview

Financial institutions deploying AI agents face a control gap that existing security frameworks were not designed to close. Agents operating with valid credentials can act as persistent insider threats, execute multi-step attacks at machine speed, and spawn delegation chains that no firewall rule or RBAC policy anticipated — all before a human analyst receives an alert. The average AI incident in financial services now costs $4.4M, and only 7% of banks have successfully scaled AI governance to match the pace of agent deployment. GuardiumOne closes this gap as an inline enforcement plane — not a monitoring overlay — that every agent call traverses before execution. A CISO-signed scope manifest defines each agent's explicit permission boundary across tools, MCP servers, data stores, and downstream agents. A live Memgraph-backed agent graph continuously diffs observed behaviour against the approved topology & policies, firing automated BLOCK, QUARANTINE, and SCOPE-REVOKE responses in seconds — containing a coordinated swarm attack in under four seconds, well before any SOC team could respond. The 16-pillar governance assessment embedded in every agent manifest satisfies SR 11-7 model validation, PCI-DSS Requirement 7.2 least-privilege controls, and EU AI Act conformity documentation simultaneously, turning each new agent deployment from a 6–12 week security review into a 1.5-hour templated workflow at fleet scale.