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Organizations adopting AI tools like Microsoft CoPilot face risks of sensitive data exposure, leading to compliance violations and security breaches. Without proper controls, AI interactions can inadvertently share confidential information, posing significant threats to data integrity and regulatory adherence.
Sensitive information shared with AI can be accessed by unauthorized parties, leading to data leaks
Failure to protect data can result in hefty fines and damage to organization's reputation
Security breaches can halt business operations, causing financial losses and eroding stakeholder trust
of organizations report data exposure concerns with AI tools
of companies have faced compliance issues due to AI data handling
increase in security incidents linked to AI interactions in the past year
The iboss AI Monitoring & DLP Capability provides robust protection for AI interactions. Monitor and record conversations with Microsoft CoPilot and other AI tools while preventing sensitive data exposure.
Captures entire dialogues between users and AI tools for audit and analysis, providing complete visibility into AI interactions.
Prevents prompts and file uploads containing sensitive information from reaching AI models, protecting organizational data.
Automatically creates incidents for high-risk interactions and alerts administrators for immediate action.
Allows review of past AI conversations for forensic investigations and policy improvement.
Extends monitoring and protection to other AI chat tools like ChatGPT for comprehensive coverage.
Forwards log events to external SIEM systems for centralized security management and monitoring.
Six-step process to secure AI interactions and prevent data exposure
Turn on AI Monitoring & DLP in our platform
Define sensitive data types like PII or financial info
Record all Microsoft CoPilot interactions fully
Stop sensitive data from reaching AI models instantly
Create incidents for policy breaches automatically
Notify admins of risks in real time for quick action
Prevents sensitive data from being exposed during AI interactions, safeguarding organizational assets.
Ensures adherence to data protection regulations, reducing the risk of fines and reputational damage.
Minimizes disruptions by proactively managing security risks associated with AI usage.
Enables tracking of AI usage patterns and identification of potential misuse across the organization.
Allows quick action to mitigate potential security threats from AI usage with real-time alerting.
Provides detailed logs for understanding and improving AI interaction policies through historical analysis.
Comprehensive AI monitoring and data loss prevention integrated into the iboss Zero Trust SASE Platform for complete organizational protection.
All AI monitoring and DLP features managed through iboss's single, intuitive platform with unified policy enforcement.
Seamlessly extends iboss's comprehensive security capabilities to cover AI interactions across all applications and platforms.
Centralized logging and reporting for all AI-related activities with detailed forensic capabilities and compliance tracking.
Simple deployment with automatic configuration and comprehensive incident management for proactive AI security governance.
Quick activation within the iboss platform with automatic policy configuration and immediate AI conversation monitoring.
Instant incident creation and administrator alerts enable rapid response to AI security threats and policy violations.