Facial recognition security deployed on premise, so biometric matching happens on your own infrastructure and identity data never has to leave the site.
The differentiator is where the data lives and how the capability is used. Facial recognition is optional, switched on only where a site needs it, and built into the same agent workflow as every other capability rather than sold as a standalone biometric silo. Deployment is on premise, so biometric matching happens on infrastructure the customer controls, configured to local privacy and access law. Confirming identity at a controlled entrance is one piece of a broader homeland security surveillance posture.
Facial recognition security here is optional, an enhancement inside Argu's agentic workflow rather than a separate system a team has to manage on its own. It supports 1:1 verification, confirming that an employee at a gate is who they claim to be, and 1:many identification, locating a specific person across live or archived footage. Every deployment runs on premise, and configuration must follow the privacy and access control law that applies to that site.
1:1 Identity Verification at Entry Points
Confirms that the person at a gate or door matches the identity on file, built for access points where a quick, accurate check matters more than a badge alone.
1:Many Identification Across Footage
Locates a specific, authorized person across live or archived camera feeds, useful when a security team needs to find someone rather than simply confirm one identity.
Face Recognition Access Control at the Gate
Pairs with existing gate and door hardware so facial recognition becomes one more layer in an access control setup instead of a separate system to manage.
On Premise Biometric Processing
Matching runs on infrastructure the customer controls, so biometric data is never sent to an outside server as part of normal operation.
These are the core principles that define how Argu approaches every deployment. Our solutions are built to work on your existing infrastructure, require no engineering overhead, and deliver measurable results from day one. Every feature is designed with one goal: giving your team the intelligence to act faster, with more confidence, and without adding complexity.
Facial recognition security stays on premise
Biometric matching runs on infrastructure the customer controls, so identity data does not have to leave the facility as part of normal operation.
1:1 and 1:many in one capability
The same agent verifies a known identity at a gate and searches for a specific person across footage, instead of requiring two separate biometric tools.
Optional, not a default
Facial recognition is switched on only where a site needs it, and it sits inside the same agent workflow as every other capability Argu offers.
Deployment follows local law
Every rollout is configured to the privacy and access control law that applies to that site, and the capability is only activated within that framework.
Biometric data stays where you control it
On premise deployment means facial recognition security does not send identity data to an outside server as part of standard operation.
One capability, two use cases
1:1 verification at a gate and 1:many identification across footage run on the same underlying agent, instead of two separate biometric products.
Built into the workflow, not bolted on
Facial recognition sits inside the same agentic platform as every other capability, so a security team is not managing a standalone biometric silo.
Configured to local law before it goes live
Every deployment is set up to match the privacy and access control requirements of its jurisdiction, and activation follows that framework, not around it.
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