Results

AIGuardium in practice.

Three security scenarios showing how one control plane governs autonomous agents, workforce AI, and LLM application traffic.

Use case 01

Runtime control for autonomous AI agents

Anonymized buyer: AI engineering team at a regulated financial institution

Security need

Agents can call terminals, browsers, files, APIs, and internal systems. Security policy must act before a risky tool call executes.

Control

AIGuardium evaluates the agent, requested tool, policy, prompt and result signals, and recent behavior. Teams can freeze tools, require review, restore approved access, and preserve decision evidence.

Outcome

Engineering teams keep agentic automation moving without granting unrestricted tool access, while reviewers retain operational control and a clear record of every decision.

Use case 02

Workforce AI DLP and Shadow AI visibility

Anonymized buyer: Canadian public-sector organization or Crown corporation

Security need

Employees use AI to summarize, draft, analyze, and research, creating exposure when sensitive records or internal content reach unmanaged services.

Control

AIGuardium applies cross-browser policy controls, inspects prompts and documents before submission, and can block, warn, redact, or monitor while building an AI usage inventory.

Outcome

Employees retain useful AI access while security teams gain practical enforcement, visibility, and evidence for governed adoption.

Use case 03

LLM application and API traffic inspection

Anonymized buyer: Platform engineering team building AI-enabled applications

Security need

Application teams need consistent controls for prompt injection, jailbreaks, sensitive disclosure, abuse, and cost exposure without building a separate safety layer in every product.

Control

AIGuardium provides a policy-aware inspection point for prompts, responses, documents, and tool outputs, with organization-level policies and shared evidence.

Outcome

Engineering teams add consistent AI security controls without fragmenting enforcement across products, agents, and workforce workflows.

See the controls against your environment.

We will map AIGuardium to the AI systems, users, data, and workflows that matter to your organization.

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