Prompt injection and jailbreaks
Configure and validate detectors for attempts to manipulate model behavior, bypass instructions, or elicit unsafe responses.
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Zscaler AI Guard · Forward Deployed Engineering
Move AI from possibility to protected production.
Build guardrails into the AI your business is ready to use. SecureDynamics brings Zscaler expertise and embedded software engineering together to design, integrate, test, and operationalize AI Guard for your applications and agent workflows.
What AI Guard helps protect
Make policy part of every supported AI interaction.
Zscaler AI Guard evaluates prompts and responses against configured security, data-protection, and content policies. We help translate your requirements into controls your team can test and operate.
Data protection in prompts and responses
Apply supported detectors and DLP controls to personal, confidential, and proprietary information, with policies tuned to your use case.
Responses aligned to the task
Evaluate toxicity, off-topic content, malicious URLs, and other supported guardrails against the behavior your organization expects.
Available controls depend on the deployment mode, supported providers, licensing, and your environment. We validate coverage and limitations during design.
Fit the control to the application
The integration path matters as much as the policy.
Start with how prompts, responses, identities, and data actually move. We help choose and implement the supported AI Guard architecture for those flows.
Proxy integration
Place AI Guard between your AI application and supported LLM providers. Configure providers, credentials, applications, routing, and policy to inspect the intended interactions.
Detection as a Service
Integrate AI Guard detection APIs into your application. Your code calls the service for prompts and responses and handles the verdict before the next step proceeds.
ZIA and hybrid requirements
Assess supported ZIA-integrated or hybrid deployment patterns when user traffic, identity, network paths, or hosting requirements call for them.
Forward Deployed Engineering
Engineers who work inside the workflow.
SecureDynamics Forward Deployed Engineers combine Zscaler expertise with software development to build, secure, and operationalize AI systems alongside your team.
Bring us your use case- Integrate the real applicationConnect supported APIs, providers, and agent workflows. Define how policy verdicts, errors, timeouts, and exceptions are handled.
- Secure the surrounding systemReview agent identities, tool and MCP access, secrets, data paths, and approval boundaries. Pair AI Guard with the other controls each workflow needs.
- Validate before productionTest representative business tasks and adversarial inputs, inspect latency and false positives, and document the paths covered by the integration.
- Prepare the operating teamEstablish telemetry, policy ownership, incident handling, and a repeatable tuning process.
From scope to operations
A practical path to production readiness.
Engagement scope follows your application, risk, and readiness requirements. Each phase produces something your team can review.
Map the use case
Identify applications, models, data, users, owners, licensing, and integration constraints.
Outcome: agreed scope and architecture.Implement the controls
Configure AI Guard and connect the supported interaction paths, policies, credentials, and logging.
Outcome: working pilot integration.Prove the behavior
Exercise permitted and prohibited use cases, failure handling, operational impact, and rollout criteria.
Outcome: test evidence and rollout plan.Make ownership clear
Prepare runbooks, log exports, incident workflows, policy review, and knowledge transfer.
Outcome: an operational handoff.Start with your AI initiative
What are you ready to build or secure?
Tell us whether you are evaluating AI Guard, protecting an AI application, or moving an agent workflow toward production. We work with organizations directly and alongside Zscaler partners.
- AI Guard architecture, deployment, and policy tuning
- Application and detection API integration
- Forward Deployed Engineering for AI agents
- Testing, telemetry, and operational readiness
Your request goes to our sales team for the right technical follow-up.
Prefer email? sales@securedynamics.net
Discuss your AI initiative
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Common questions
Start with the right expectations.
Do we need to know our integration approach before talking?
No. Bring your business objective and the application or agent workflow you are evaluating. We can help assess readiness and choose the supported deployment approach.
Does AI Guard secure every agent action on its own?
AI Guard provides guardrails for the AI interactions covered by its integration. Agent identity, tool authorization, least-privileged access, approval steps, and application security also need deliberate design. Our engineers help connect those controls.
Can you work with our existing Zscaler partner?
Yes. We support direct customer engagements and partner-led delivery. Tell us which teams and partners are involved so we can establish the right delivery and commercial path.
Explore related data and AI security services or Zscaler AI Guard product information.