Polymer DSPM for AI is a cutting-edge data security platform designed to protect sensitive information across cloud environments. It operates on three core pillars: data observability, human risk management, and data loss prevention. This platform empowers organizations to automate workflows, ensuring compliance and reducing human error, making it ideal for industries requiring stringent data security measures.
Major Highlights
- Offers real-time data visibility and adaptive controls to prevent breaches.
- Automates remediation processes to stop risks before they escalate.
- Empowers employees to manage data security through real-time nudges and risk scoring.
- Integrates with popular tools like Slack, GitHub, and Google Drive.
- Provides flexible DLP for SaaS and AI workflows.
- Uses AI to contextualize risk and trigger security workflows.
- Offers detailed analytics and reports to address vulnerabilities proactively.
- Enhances data governance without disrupting operations.
- Supports centralized management of DLP policies.
- Reduces alert fatigue by focusing on actionable insights.
Use Cases
- Autonomous data discovery and classification: Continuously identifies and categorizes sensitive data across cloud platforms.
- Uncovering hidden risks: Detects potential threats that might be overlooked in complex cloud environments.
- Automated threat remediation: Quickly addresses data security violations to prevent breaches.
- Securing AI environments: Prevents sensitive data from being exposed in AI models like LLMs.
- Compliance management: Helps organizations meet data privacy guidelines efficiently.
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