Swift Security Platform Features

Swift Security Platform is a unified AI security solution that protects organizations' data and reputation by securing generative AI usage across the enterprise.
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Key Features of Swift Security Platform

Swift Security Platform is a comprehensive AI security solution that protects organizations' data and reputation when using generative AI technologies. It provides visibility and control over shadow AI usage, secures co-pilots and embedded AI, enables safe use of code assistants, protects GenAI client apps, implements guardrails for custom LLM apps, and controls access to private LLMs. The platform actively monitors and protects against data exfiltration, intellectual property loss, unsafe content, and data poisoning across public, private, and custom LLMs.
Shadow AI Visibility & Control: Provides deep visibility into shadow AI usage and protects sensitive data from egressing to risky LLMs through browser and IDE extensions.
Secure AI Integration: Enables safe use of code assistants, protects GenAI client apps, and implements guardrails for custom LLM applications.
Data Protection: Scans egress and ingress, monitors prompts and responses, blocks or masks sensitive data, and de-masks data when appropriate.
Multi-Platform Support: Supports 250+ top Generative AI sites and various development environments.

Use Cases of Swift Security Platform

Secure HR Operations: Protect sensitive employee information when HR departments use AI tools for recruitment, employee management, or policy creation.
Safe Marketing Content Generation: Enable marketing teams to leverage AI for content creation while preventing accidental disclosure of proprietary strategies or customer data.
Protected Financial Analysis: Allow finance teams to use AI-powered analytics tools without risking exposure of confidential financial data or forecasts.
Secure Software Development: Enable developers and testers to safely use AI coding assistants without exposing source code or sensitive algorithms.

Pros

Comprehensive protection across multiple AI platforms and use cases
Fast and easy deployment with browser and IDE extensions
Developed by experts with extensive experience in the field

Cons

May require ongoing updates to keep up with rapidly evolving AI landscape
Potential for false positives in sensitive data detection, requiring fine-tuning

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