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- Filters all AI requests before data leaves the employee’s device.
- Identifies the AI service receiving the request.
- Provides the traffic and content metadata for subsequent security checks.
ScienceSoft On-Device AI Firewall
Know How AI Is Used. Control What Can Be Shared.
Employees use Claude, ChatGPT, Gemini, and other AI services for everyday work, often without realizing that their prompts or uploads contain sensitive information. ScienceSoft On-Device AI Firewall sits between your employees and AI services to catch every AI interaction, understand how AI is used across teams, enforce granular AI usage policies, and automatically detect, mask, or block sensitive information before it is shared with AI models. Your AI firewall can be customized to your specific security policies, regulatory requirements, and business processes to deliver effective AI protection without unnecessary costs or limitations on productivity.
ScienceSoft On-Device AI Firewall Key Use Cases
Monitor
Get a central view of AI usage, risky activity, and policy violations across users, teams, and AI services.
Mask
Detect and mask or redact sensitive information before it reaches AI services, so employees can continue using AI for legitimate work without exposing protected data.
Block
Identify and block requests that violate security policies or contain prohibited data. Immediately surface risky AI usage patterns to security teams.
Core Capabilities of ScienceSoft On-Device AI Firewall
AI traffic interception
Sensitive data detection
- Scans prompts, documents, and images for sensitive data.
- Detects PII, financial data, source code, customer information, etc.
- Uses ML that can be trained to understand contextual sensitivity (e.g., recognizing references to specific customers or internal project codenames).
Document labels and watermark check
- Reads document labels, classifications, and watermarks attached to the uploaded files.
- Recognizes the sensitivity level already assigned to the document, such as public, internal, confidential, or restricted.
- Uses this information to apply the appropriate AI security policy, for example, allowing, masking, or blocking the upload.
- Makes protection decisions faster when an existing classification provides enough information, without relying solely on full content analysis.
Document origin tracking
- Tracks the original source of documents shared with AI.
- Preserves document-origin information when files are copied, renamed, or modified.
- Uses provenance as an additional signal when determining whether content can be shared.
- Provides traceability for audits and compliance.
Centralized AI policy management
- Enables security teams to configure granular AI usage policies based on users, departments, AI services, and data sensitivity.
- Controls which AI tools can be used, what information can be shared, and which actions are permitted.
- Distributes policy updates instantly across all protected endpoints.
AI policy enforcement
- Evaluates each AI request against security policies before data leaves the employee’s device.
- Allows approved AI request.
- Masks requests with sensitive information without breaking the important context (e.g., by using reversible or surrogate pseudonymization).
- Blocks and flags risky requests.
- Explains to users why their requests were blocked.
Enterprise-wide AI usage monitoring and reporting
- Tracks AI interactions across users, departments, and AI services.
- Highlights risky usage patterns, policy violation trends, and emerging threats.
- Provides centralized dashboards, detailed logs, and consolidated reports for security, audit, and compliance.
Centralized endpoint management
- Centrally deploys AI firewall agents across users and devices.
- Centrally deploys AI firewall agents across users and devices.
- Distributes agent configuration changes and software updates organization-wide.
- Monitors agent health, performance, connectivity, and availability.
- Distributes agent configuration changes and software updates organization-wide.
- Monitors agent health, performance, connectivity, and availability.
How ScienceSoft On-Device AI Firewall Works
Benefits of Using AI Services With ScienceSoft On-Device AI Firewall
Sensitive data is inspected and masked on-device
- Prompts, files, and images are inspected and masked directly on the employee’s device.
- Only security metadata is sent to the central control plane for monitoring, reporting, and policy management.
Security logs cannot be quietly altered
- RFC 3161 timestamps provide verifiable evidence of when records were created.
- Audit records are linked through hash-chaining, making all unauthorized changes to logged events visible.
- Records can be verified offline, without relying on the live firewall environment.
Performance issues never go unnoticed
- Scanning failures, connectivity issues, and enforcement failures are detected and reported.
- Security teams can quickly identify all endpoints where protection is unavailable or degraded.
Only trusted firewall agents run on your devices
- Windows installers use EV code signing, while macOS software is Developer ID-signed and notarized by Apple.
- Agent credentials are protected using OS-level security mechanisms.
- Agents can be centrally deployed, configured, updated, and monitored.
Your existing security infrastructure stays in place
- Security events integrate with your existing SIEM for centralized monitoring and analysis.
- Existing identity systems handle sign-on and access management.
- AI Firewall agents deploy through your existing MDM solutions, including Microsoft Intune, Jamf, and Group Policy.
- Tenant-level isolation keeps data and security controls separated across teams, business units, and subsidiaries.
Your organization keeps full control of security and data
- You retain control over the firewall infrastructure, security policies, and data flows.
- Your organization determines how the firewall is configured, what security policies are applied, and how data moves through the environment.
Sensitive Data Types Protected by ScienceSoft On-Device AI Firewall
ScienceSoft On-Device AI Firewall comes with built-in protection for common sensitive data types and lets you create as many custom data types as your business requires. You can define organization-specific categories based on your data, terminology, systems, and security policies.
AI Usage and Security Reports
Endpoint and agent health
- Protected devices and their online/offline status.
- Revoked devices and last-seen timestamps.
- Join and enrollment failures.
- Scanning, connectivity, and enforcement failures.
AI usage and policy enforcement
- AI activity by user, device, team, and AI service.
- Distribution of passed, blocked, masked, and flagged requests.
- AI services used across the organization.
- Types of sensitive data detected.
- Policy violations and enforcement trends.
Risk overview
- Users and devices with the highest share of blocked or masked requests.
- Most frequently detected sensitive data types.
- AI services and teams associated with the most policy-triggering activity.
Simple, Predictable Pricing
$15 per protected device/month.
Plans start at 20 protected devices, so the minimum monthly subscription is $300. The price does not increase when employees use AI tools more often, send more prompts, or process more tokens. You pay for the devices you protect, not for how much AI they use.
About ScienceSoft
- 37 years in AI and software engineering.
- 23 years in cybersecurity and 18 years in ITSM.
- 21 years in IT services for regulated industries like healthcare and insurance.
- 750+ IT specialists, including IT consultants, AI architects, machine learning engineers, data scientists, software developers, DevSecOps, and security specialists. Over 50% of them are senior- and lead-level experts.
- In-house compliance consultants to align solutions with global standards (e.g., SOC 2, PCI DSS/SSF, NIST), regional privacy rules (e.g., GDPR, Saudi PDPL), and sectoral regulations (e.g., HIPAA, FDA QMSR, SOX, GLBA, NYDFS).
Partnerships and recognitions
Named among America’s Fastest-Growing Companies by Financial Times, 5 years in a row
Winner of two 2026 AI Leader Awards: Best AI Solution for Financial Services and Best AI Solution for Insurance
HTN Now Awards 2025/26 finalist in the Best AI Scribe Solution category
Semifinalist in Amazon Nova Partner Demo Competition for real-time AI voice scheduler
Microsoft Solutions Partner for Data & AI
AWS Partner since 2017
ISO 9001-certified quality management system
ISO 27001-certified security management system, extended with ISO 27701 privacy controls
ISO 13485-certified medical device quality management system
