Enable enterprise AI adoption—without exposing strategic data
Enterprise teams are already using AI to summarize reports, draft communications, and accelerate strategic work. GPT-Shield adds a local, real-time protection layer that detects and redacts sensitive data before it reaches AI tools—across browsers and supported desktop applications.
"Q4 revenue $47M, customer churn 8.2%, Project Phoenix acquisition..."
Detects sensitive data • Redacts identifiers • Enforces corporate policies
"Q4 revenue [REDACTED], customer churn [REDACTED], [REDACTED] acquisition..."
Enterprise AI risk is happening at scale
Enterprise organizations didn't adopt AI through a centralized IT rollout. It arrived organically—first as a productivity experiment, then as an essential tool across every department.
Under pressure to deliver results, teams use AI to:
None of these activities are inherently risky. The exposure occurs in a single moment: when confidential business context is pasted into a prompt.
This is the practical reality of Shadow AI in enterprise: well-intended productivity, outside formal governance, where one prompt can expose strategic information.
If your organization relies on policy alone, you're betting on perfect judgment during imperfect days.
This is happening now:
Summarize lengthy strategy documents and board materials
Strategic acceleration
Draft executive communications and announcements
Leadership updates
Analyze competitive intelligence and market data
Business intelligence
Generate presentations and stakeholder updates
Cross-functional collaboration
Why traditional controls fail for enterprise AI
Most data protection programs were built for structured systems: email, file shares, CRM, and collaboration tools. AI introduces a different exposure surface: the prompt itself.
Legacy Controls
Policies don't scale
Assumes perfect judgment across thousands of employees
Blocking creates Shadow AI
Users move to personal accounts and mobile devices
Network DLP misses prompts
Cannot reliably intercept the moment of exposure
After-the-fact audits
Discovers breaches too late to prevent damage
Prompt-Level Control
Prevention at point of entry
Detects and redacts before data leaves device
Enable safe AI adoption
Support productivity without exposure risk
Context-aware detection
Understands enterprise workflows and sensitive patterns
Real-time enforcement
Policy applied automatically, no manual intervention
Enterprise needs prevention at the moment of entry.
What GPT-Shield does (and why it's different)
GPT-Shield is built for the point of failure: when sensitive information is about to leave the device.
Local-first, real-time protection
GPT-Shield uses hybrid ML + NLP detection to identify sensitive information and redact it in real time before submission.
Coverage where AI is actually used
GPT-Shield protects enterprise AI usage across browsers and supported desktop applications with consistent policy enforcement.
Policy-driven enforcement
Instead of relying on individual judgment, GPT-Shield enforces organizational policies automatically at the prompt level.
Live coaching + training
GPT-Shield provides contextual guidance when risk is detected and includes training modules to raise AI safety maturity.
How it works
User begins drafting or pastes content into an AI prompt
GPT-Shield detects sensitive elements (strategic data, financial info, personnel details)
GPT-Shield redacts in real time before the prompt can be submitted
Coaching guidance appears when needed, helping users learn safer prompting patterns
Training and analytics support continuous improvement across the organization
This is not surveillance. It's preventive control.
Common enterprise workflows
Real examples of how GPT-Shield protects enterprise AI workflows
What enterprises risk in AI prompts
Enterprise AI exposure goes beyond traditional PII—it includes strategic intelligence that defines competitive advantage.
Strategic plans and initiatives
M&A targets and valuations, expansion plans and market entry strategies, product roadmaps and innovation pipelines, restructuring and organizational changes.
Financial and performance data
Revenue figures and forecasts, customer metrics and churn data, pricing strategies and margin analysis, budget allocations and cost structures.
Personnel and organizational information
Compensation details and equity grants, performance evaluations and rankings, succession planning and org changes, employee personal information.
Competitive intelligence
Internal competitive analysis, win/loss data and customer feedback, partnership negotiations, proprietary methodologies and processes.
Training & live coaching
Turn control into maturity: guidance at the moment it matters
Live coaching: guidance at the moment it matters
When GPT-Shield detects sensitive input, it provides real-time coaching:
GPT-Shield detected sensitive information
Financial data and strategic details were redacted
💡 Safer approach:
"Summarize this strategic document focusing on themes and recommendations, without including specific financial figures or company names."
Training modules: building AI safety maturity
GPT-Shield includes role-based training modules:
- AI risk fundamentals for enterprise teams
- Safe prompting patterns for sensitive workflows
- Data classification and handling guidelines
- Recognizing context that creates exposure
- Building AI-aware security culture
Security & privacy by design
GPT-Shield's architecture ensures your data never leaves your control
Local-first processing
All detection and redaction happens on-device. Your prompts are never sent to GPT-Shield servers.
Zero data retention
GPT-Shield does not log, store, or transmit prompt content. What you type stays on your device.
Encrypted policy sync
Policy configurations sync securely via encrypted channels. No prompt content is included.
Privacy-preserving analytics
Aggregate usage metrics help improve detection without exposing individual prompts or user activity.
Frequently asked questions
Ready to Deploy Enterprise-Wide AI Protection?
Join enterprise organizations protecting sensitive data across all departments while enabling safe AI adoption. Centralized management, policy enforcement, and comprehensive protection at scale.
View Enterprise Pricing
Volume licensing for organizations of 100+ users. Flexible deployment options and enterprise support.
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Discuss enterprise deployment, SSO integration, custom policies, and dedicated support for your organization.