USE CASE #1

Validate Internal AI Agents

You’re deploying a customer service AI agent behind your company firewall.
It’s connected to:

  • CRM Systems
  • Financial databases
  • Email servers
  • Third party APIs

You’ve deployed a real-time protection product to safeguard it.

But how do you know it’s really working?

Use ZioSec to run a pentest and validate that your real-time protection is truly securing sensitive data.

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USE CASE #2

Verify Third-Party AI Agents

You’ve purchased a third-party AI agent that claims to be secure.
But can you trust that claim?

Run ZioSec to independently verify its security posture before deployment—because trusting isn’t enough.

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USE CASE #3

Secure AI-Powered Decision-Making Systems

Your company has deployed AI agents that assist with automated decision-making in areas like loan approvals, insurance claims, or hiring processes. These systems are regulated and directly impact your compliance obligations.

ZioSec runs targeted pentests to identify:

  • Bias exploitation risks
  • Unauthorized data access
  • Insecure integrations with decision-making APIs

Ensure your AI decision systems are secure and compliant before regulators or attackers discover otherwise.

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USE CASE #4

Test AI-Powered DevOps or Automation Agents Systems

You’ve integrated AI agents into your DevOps pipeline or automation workflows—agents that interact with your CI/CD systems, infrastructure, or deployment tools.

These agents:

  • Access code repositories
  • Manage infrastructure-as-code
  • Trigger production deployments

But are they secure?
ZioSec pentests these AI workflows to ensure:

  • No privilege escalation vulnerabilities
  • No misconfigurations that could expose your infrastructure
  • Agents aren't enabling slop squatting, introducing backdoors, or exploitable dependencies

Trust but verify. Keep your automation pipelines as secure as your code.

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