REDUCE SHADOW AI RISKS​

Eliminate the shadow of uncertainty about AI use and risks.​

Know who is using shadow AI tools, how they integrate within your organization and the risks they pose, so you can put guardrails in place.​

91%

of AI tools are unmanaged.​

Employees increasingly rely on AI tools, and blocking usage isn’t a viable solution; they’ll find workarounds. Grip enables you to support innovation without compromising your security.​

Stay ahead of AI risks with complete visibility and control.​

Manage AI risks, detect unauthorized AI apps and flag existing, approved SaaS with AI features. By proactively monitoring AI risks, you can safeguard your organization against data breaches and compliance issues before they escalate.​

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Discover shadow AI apps.​

See all your apps.​

Get full visibility into all AI apps used across your organization. Automatically track account creation and assess each app’s risk level, ensuring no shadow AI activity slips through.​

Monitor activity and get alerts proactively.​

Monitor shadow AI usage in real-time and alert IT, security, and compliance teams to potential risks, keeping your AI ecosystem secure and under control.​

Assess shadow AI identity risks.​

Conduct identity risk analysis by app.​

Assess each app’s risk based on authentication methods, usage patterns, and other identity risk factors to understand the risks AI apps pose. ​

Focus on high-risk apps.​

Use Grip’s risk scoring to prioritize the highest threats and receive recommended actions to mitigate them effectively.​

Minimize shadow AI risks.​

Apply risk-appropriate controls.​

Apply controls like SSO, MFA, or revoke risky access using automated password rotation, securing sensitive data and reducing compliance risks.​

Automate risk mitigation.​

Automate risk reduction with built-in workflows or integrate with your security tools for full flexibility and control.​

See how Believer tackled AI risks without stifling innovation.

​Shadow AI risks can be daunting, but Believer found a solution that balanced security and innovation. Discover how they leveraged Grip to gain full control over their SaaS environment, ensuring safety while empowering their teams to keep innovating.
Read Success Story​

The complete SaaS identity risk management solution.​

Uncover and secure shadow SaaS and rogue cloud accounts. ​
Prioritize SaaS risks for SSO integration.
Address SaaS identity risks promptly with 
policy-driven automation.
Leverage your existing tools to include shadow SaaS.​

See Grip, the leading SaaS security platform, live:​

What is shadow AI, and why should I be concerned?

Shadow AI refers to unauthorized or unmonitored AI applications used by employees within an organization. These tools bypass security controls, may access sensitive information, and can operate without the necessary compliance measures, making them a significant risk to data security and regulatory adherence.

How can AI risks affect my organization?

AI risks include data exposure, compliance violations, and inadvertently sharing sensitive information inadvertently. These risks are heightened when employees use AI tools without proper oversight.

How can I manage shadow AI risks effectively?

Managing shadow AI risks starts with visibility—knowing which AI tools are being used and how they interact with sensitive data. Solutions like Grip can identify these tools, track their usage, and help enforce appropriate access controls and policies to secure your environment.

What’s the best approach to balance innovation and AI risk management?​

Blocking AI tools isn’t practical, as employees will find ways to use them. Instead, implementing a solution that allows you to monitor AI usage and apply risk-based controls ensures you can support innovation while maintaining security and compliance.​

FAQs about shadow AI risks​