Generative AI has transformed from a curiosity into a core part of modern business operations. What began with employees casually experimenting with public tools like ChatGPT has now evolved into enterprise-wide adoption, with AI capabilities integrated directly into customer service platforms, HR applications, CRM systems, and collaboration tools.
In parallel, organizations are deploying their own AI infrastructure, powered by open-access models like DeepSeek, LLaMA, and supported by community-driven ecosystems such as Hugging Face. In just one year, the number of enterprises running local genAI models has increased from under 1% to more than 50% — a massive shift toward AI-driven productivity and innovation.
But with this momentum comes a new—and rapidly expanding—security challenge.
In parallel, organizations are deploying their own AI infrastructure, powered by open-access models like DeepSeek, LLaMA, and supported by community-driven ecosystems such as Hugging Face. In just one year, the number of enterprises running local genAI models has increased from under 1% to more than 50% — a massive shift toward AI-driven productivity and innovation.
But with this momentum comes a new—and rapidly expanding—security challenge.
The Growing Risk Behind Enterprise AI Adoption
Innovation brings efficiency, but it also introduces risk. Across industries, organizations are now facing three major challenges:
1. Shadow AI and Uncontrolled App Usage
Netskope Threat Labs reveals that 72% of genAI usage occurs through shadow IT — tools not sanctioned by IT teams.
Employees frequently upload:
2. Embedded AI in Everyday Tools
Although only 5% of users interact directly with standalone genAI apps, over 75% use business tools with integrated AI features — often without realizing it.
This hidden adoption makes it harder for security teams to track data movement and enforce policies.
3. Rise of Local GenAI Models
With more organizations running on-premise AI, new risks emerge around:
A New Security Mandate for AI-Driven Businesses
The question businesses must ask is no longer “Should we embrace AI?”
It is now: “How do we secure AI across every environment?”
To safeguard users, data, and systems, organizations must gain full visibility into AI usage and apply granular controls across all AI interactions — whether in SaaS tools, public apps, internal models, or custom-built AI workloads.
That’s where Netskope One changes the game.
Netskope One – End-to-End AI Security for Modern Enterprises
Netskope One brings together Netskope’s industry-leading SSE (Security Service Edge) capabilities to secure every part of your AI landscape.
Key Capabilities Include:
✔ AI Usage Visibility
Identify all AI applications in use — approved, unapproved, embedded, and local.
Map how data flows between users, devices, and AI engines.
✔ Shadow AI Governance
Block risky AI apps, restrict uploads, and prevent sensitive data exposure — without slowing productivity.
✔ Data Protection Everywhere
Advanced DLP and policy enforcement across SaaS, web, cloud, private access, and local AI deployments.
✔ Model & App Access Control
Define who can interact with internal or external AI tools, what they can submit, and what outputs they can receive.
✔ Unified Policy Framework
One set of policies that follow users across devices, networks, and AI ecosystems.
With Netskope One, enterprises gain a single, AI-aware security platform designed to protect data, enforce governance, and support innovation without compromise.
Why This Matters Now
AI is no longer a future technology — it’s here, embedded everywhere, and rapidly reshaping how organizations work.
But without proper controls, it becomes a major vector for:
Distributed by AlJammaz Technologies
AlJammaz Technologies is proud to distribute Netskope solutions across Saudi Arabia and the Gulf, helping organizations secure their AI, cloud, and data protection strategies with industry-leading security frameworks.
Through this partnership, enterprises gain access to world-class SSE technology, local expertise, and trusted regional support — enabling safe and scalable AI adoption across all environments.
To learn more about Netskope One, fill in the form below or contact AlJammaz Technologies to speak to our experts.
Innovation brings efficiency, but it also introduces risk. Across industries, organizations are now facing three major challenges:
1. Shadow AI and Uncontrolled App Usage
Netskope Threat Labs reveals that 72% of genAI usage occurs through shadow IT — tools not sanctioned by IT teams.
Employees frequently upload:
- Source code
- Regulated data
- Confidential documents
- Intellectual property
2. Embedded AI in Everyday Tools
Although only 5% of users interact directly with standalone genAI apps, over 75% use business tools with integrated AI features — often without realizing it.
This hidden adoption makes it harder for security teams to track data movement and enforce policies.
3. Rise of Local GenAI Models
With more organizations running on-premise AI, new risks emerge around:
- Model governance
- Data access
- Operational oversight
- Internal misuse
A New Security Mandate for AI-Driven Businesses
The question businesses must ask is no longer “Should we embrace AI?”
It is now: “How do we secure AI across every environment?”
To safeguard users, data, and systems, organizations must gain full visibility into AI usage and apply granular controls across all AI interactions — whether in SaaS tools, public apps, internal models, or custom-built AI workloads.
That’s where Netskope One changes the game.
Netskope One – End-to-End AI Security for Modern Enterprises
Netskope One brings together Netskope’s industry-leading SSE (Security Service Edge) capabilities to secure every part of your AI landscape.
Key Capabilities Include:
✔ AI Usage Visibility
Identify all AI applications in use — approved, unapproved, embedded, and local.
Map how data flows between users, devices, and AI engines.
✔ Shadow AI Governance
Block risky AI apps, restrict uploads, and prevent sensitive data exposure — without slowing productivity.
✔ Data Protection Everywhere
Advanced DLP and policy enforcement across SaaS, web, cloud, private access, and local AI deployments.
✔ Model & App Access Control
Define who can interact with internal or external AI tools, what they can submit, and what outputs they can receive.
✔ Unified Policy Framework
One set of policies that follow users across devices, networks, and AI ecosystems.
With Netskope One, enterprises gain a single, AI-aware security platform designed to protect data, enforce governance, and support innovation without compromise.
Why This Matters Now
AI is no longer a future technology — it’s here, embedded everywhere, and rapidly reshaping how organizations work.
But without proper controls, it becomes a major vector for:
- Data leakage
- Shadow IT sprawl
- Compliance violations
- Model misuse
- Internal risk
Distributed by AlJammaz Technologies
AlJammaz Technologies is proud to distribute Netskope solutions across Saudi Arabia and the Gulf, helping organizations secure their AI, cloud, and data protection strategies with industry-leading security frameworks.
Through this partnership, enterprises gain access to world-class SSE technology, local expertise, and trusted regional support — enabling safe and scalable AI adoption across all environments.
To learn more about Netskope One, fill in the form below or contact AlJammaz Technologies to speak to our experts.
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