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SecURITY

AI Security

AI is no longer a future consideration for enterprise security teams. It is an operational reality, with many risks.

Traditional security controls were designed for a world of human users, known applications, and static threat patterns. AI operates differently: it reads data, makes decisions, takes actions, and executes workflows autonomously. Governing AI requires a different approach, one that addresses how people use AI, how its systems behave, and how it could be used against your organization. 

Our AI security services provide a coordinated set of controls that address all three dimensions, delivered under the broader secure networking architecture.

Benefits

Enable AI across your organization without putting your data at risk.

Deploy AI systems and agents with confidence.

Stop threats that are designed to evade.

Turn AI governance into a current capability.

One coordinated AI security layer across access, runtime, and detection.

Features

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AI Access Security

Globalgig offers visibility and policy enforcement over how employees interact with generative AI applications. It is delivered through the network and browser security layer, without requiring application integration or architectural changes. 

Capabilities include:

  • Real-time monitoring of prompts, uploads, and data exchanges with AI tools, including ChatGPT, Microsoft Copilot, and Google Gemini
  • Policy controls over which AI applications can be accessed, and how sensitive data can be used within them
  • Data loss prevention on the AI access layer, preventing confidential information from being sent to external models
  • Browser-level controls that enforce AI usage policy on managed and unmanaged devices
  • Audit trail for AI usage across the organization for compliance and incident investigation
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AI Runtime Security

We offer protection for AI models, applications, and agents across their full lifecycle, delivered through Globalgig’s AI security platform, with extensive detection and response capabilities. 

Capabilities include:

  • Security posture assessment for AI models and applications, before and after deployment
  • Runtime monitoring for anomalous AI behavior, including prompt injection attempts, unexpected data access, and unauthorized actions
  • Enforcement of guardrails that prevent AI agents from operating outside their intended scope
  • Continuous device health checks that monitor security status and behavior in real time, not just at the point of login
  • Protection for AI systems that plan, act, and execute workflows autonomously
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AI Security Posture Management (AI-SPM)

This involves the discovery, assessment, and ongoing governance of AI systems and configurations across your environment. 

Capabilities include:

  • The discovery and inventory of AI systems, models, and configurations in use across your organization
  • Assessment of AI system posture against security best practices, and policy requirements
  • Network visibility into AI-related traffic flows, and connectivity context through Orchestra Insight
  • Structured improvement recommendations 

Why Globalgig

AI Security Reveals the Risks Hiding in Plain Sight

Most enterprise security environments were not designed for AI risk. Globalgig uses AI security services to help businesses identify exposure they may not be measuring, from unmanaged AI use to access and data risks. That gives security teams a practical starting point for action, not just another future-state discussion.

Built for AI Security, Not Adapted Around It

Our AI Security services are delivered on platforms designed from the ground up to address AI-specific threats, not on legacy tools with an AI label added. They cover how users access AI tools, how these workloads behave at runtime, and how threats are detected across the environment. These are not legacy security tools with an AI label added. They were built for this.

Visibility Before Architecture

Most providers lead with a security stack. Globalgig looks at what you are not seeing, shifting the conversation from ’Buy this solution’ to ‘Here are the risks, now let us address them.’ Every recommendation is grounded in your organization’s exposure, not a generic framework. It is a practical approach that ensures security investment is directed at real, measurable gaps.

Resources

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Frequently
Asked
Questions

How does AI access security work without affecting productivity?

AI access security applies policy at the network layer, governing which applications can be accessed, and how they can be used, without blocking access to AI tools. Instead of a binary allow or block, it can enforce controls on what data can be sent to specific AI tools, issues an alert when sensitive data is being shared, and provides coaching to users on appropriate AI usage. This allows organizations to enable AI productivity, and manage data risks.

How does Palo Alto Networks’ Prisma Access handle identity-based access control?

Prisma Access enforces identity-first security by verifying users and devices before granting access to the internet, SaaS, and private applications. Instead of granting network-level access that a user can then move laterally within, it applies Zero Trust Network Access principles, so every session is verified, based on identity, device posture, location, and risk signals, and access is granted only to the specific application requested. AI Access Security, a feature of Prisma Access, extends this control to users’ interactions with generative AI applications, governing in real time what data can be shared with which tools.

Why do I need AI-specific security controls if I already have SSE and endpoint security?

SSE and endpoint security were designed for human users who access known applications. AI introduces new threat patterns that these tools were not built to address, such as employees leaking data through AI tool inputs,  agents taking autonomous actions with too many permissions, and attackers using AI to accelerate and adapt attacks faster than signature-based detection services can respond. Globalgig’s AI security services adds a control layer specifically designed for these patterns.

Our employees already use AI tools. Where do we start?

AI access security tends to be the first conversation, as it addresses the risk that already exists for most organizations. Most employees using generative AI tools have no policy governing what data they can share. Deploying AI access security services provides immediate visibility into that usage and allows companies to enforce policies, without affecting productivity. From there, organizations with AI applications in development or deployment usually add AI runtime security.

What is prompt injection, and why is it a security risk?

Prompt injection is an attack where malicious instructions are embedded in content that an AI system processes, causing it to take actions outside its intended scope. For example, a hacker might embed instructions in a document that an AI agent reads, causing it to exfiltrate data or take actions on their behalf.
As AI agents are given increasing autonomy and access to more systems, prompt injection becomes an increasingly material attack vector. AI runtime security services monitors for, and enforces, guardrails against prompt injection attempts.

How does Globalgig AI Security handle data sovereignty requirements for AI-related data?

AI access security monitoring and policy enforcement operates through the network security layer, with telemetry handled in accordance with data sovereignty requirements established for broader security architecture. AI runtime security operates within your organization’s environment. Data generated by AI security monitoring is not sent to, or retained by, external parties without explicit configuration.

Is AI Security available as a standalone service, or as part of a broader security engagement?

AI access security is available under the SSE and SASE architecture. AI runtime security and AI-powered threat detection services are available as standalone additions to existing security architectures. Globalgig’s Professional Services team can advise on the right approach based on your existing environment and specific AI risks you need to address.

Get an AI Security View Beyond the Product Layer

AI security is not just a tool decision. It depends on how users work, how data moves, how applications connect, how identities are governed, and who owns the controls day to day.

Our experts help you build a practical view that connects the technology decision to the reality of your environment.