AI security, identity & control

Control access, protect AI interactions and keep people accountable as agents take on more work.

The challenge.

An assistant that answers questions and an agent that acts in business systems present different risks. Unmanaged access, exposed credentials and malicious instructions can turn a useful workflow into an operational vulnerability.

Technology in practice

Explore the products behind the approach.

Each platform has a different role. We help you assess the fit, connections and commercial options around your environment.

Prisma AIRS

Prisma AIRS AI Runtime Security inspects AI interactions for threats including prompt injection, sensitive data leakage and malicious content. Enforcement can be integrated at the application code layer or network layer, according to the architecture.

Read the Prisma AIRS overview (vendor resource)

In practice

Where this could fit

A customer-facing assistant reads uploaded documents. A document could contain instructions intended to redirect the assistant. Runtime inspection adds a protective layer around those interactions; application permissions and human escalation remain part of the design.

Talk to us about Palo Alto Networks

Okta for AI Agents

Okta extends identity management to AI agents, with capabilities for registration, ownership, access and governance. Its approach helps establish which agents exist and which applications they can use. Capabilities depend on the selected subscription and integrations.

Explore Okta for AI Agents (vendor resource)

In practice

Where this could fit

An employee uses an agent to work across approved business applications. The identity layer can link access to the user and agreed policies, making permission changes and revocation part of a managed lifecycle rather than leaving persistent credentials scattered across tools.

Talk to us about Okta

IBM watsonx.governance

IBM watsonx.governance supports evaluation, monitoring and governance evidence for enterprise AI. It addresses oversight of AI behaviour and risk, complementing identity controls and runtime protection rather than replacing them.

Read IBM’s agent governance guidance (vendor resource)

In practice

Where this could fit

A business introduces several AI assistants across departments. A governance programme can define evaluation criteria, track behaviour and assign ownership, so expansion is accompanied by evidence and review instead of relying on confidence alone.

Talk to us about IBM

How Tech Twenty One helps.

We help compare suitable security and identity platforms, supply the agreed software and coordinate technical input around your existing environment. Access controls, integrations, licensing and deployment scope are established before a proposal is finalised.

Start a focused conversation.

Tell us which AI tools or agents are in use and what they connect to. You can also request a quotation for a named product or subscription. We will help identify the relevant next conversation.

Discuss this solution

Product capabilities, integrations and licensing depend on the selected configuration. Technical scope and delivery services are confirmed in the proposal. Vendor resources reviewed October 2026.