Sailpoint announced the launch of SailPoint Shadow AI Remediation, the next major component of its real-time AI governance and security framework. This innovative solution empowers organizations to discover, monitor, and secure the use of unauthorized AI tools, known as “Shadow AI,” helping to mitigate significant security and compliance risks associated with the explosive growth of artificial intelligence.
The use of AI platforms by employees like ChatGPT, Claude, Gemini and other productivity enhancements are often outside of approved IT channels. These Shadow AI platforms are critical challenge for enterprises: creating a significant blind spot and loss of control for security leaders on how their employees interact with these platforms. SailPoint Shadow AI Remediation addresses this by providing real-time visibility into how employees use these tools, including monitoring document uploads and interaction frequency. This capability is crucial in an environment where, according to a report that they recently published, 80% of organizations report their AI agents have performed unintended actions, such as accessing or sharing inappropriate data.
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How SailPoint Shadow AI Remediation helps Organizations
- Gain real-time visibility into Shadow AI usage: Organizations gain immediate visibility into how employees are utilizing unmonitored AI tools. This visibility tackles the critical risk of sensitive data exposure from employees unknowingly uploading confidential files into unapproved AI models.
- Enable proactive remediation and centralized oversight: Security teams are empowered to actively prevent misuse by blocking unauthorized uploads, redirecting users to sanctioned AI tools, or prompting them for business justification. This centralized oversight helps reduce security gaps and promotes compliance in an increasingly AI-driven world.
- Facilitate easy deployment with minimal user impact: Designed for an effortless rollout, the solution can be deployed via a simple browser extension using standard device management tools like Intune or JAMF, requiring no networking or infrastructure updates. This allows for implementation of applicable security measures without disrupting the end-user experience.
“Many vendors are trying to solve the Shadow AI problem with isolated browser or endpoint tools, but that misses the bigger picture. This is fundamentally an identity challenge,” said Chandra Gnanasambadam, EVP of Product and Chief Technology Officer at SailPoint. “We believe controlling AI usage is best achieved through a platform-centric approach that unifies identity, data, and security intelligence in real-time. Our real-time AI governance and security framework is built on this principle.”
The release of Shadow AI Remediation is an important milestone for SailPoint’s comprehensive real-time AI governance and security framework. This framework unifies Agent Identity Security, Machine Identity Security, Data Access Security, and now Shadow AI Remediation to provide a holistic approach to securing AI. By integrating AI tool usage activity into SailPoint’s Identity Security Cloud, organizations can enrich their identity graph, adding important context that enables more intelligent decisions about access and risk.
