Swift Security

Swift Security

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Swift Security is a powerful AI security platform that safeguards data and apps through real-time data classification, oversight of shadow AI, and regulation of hazardous browser extensions, so ensuring compliance and bolstering reputation.

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Key AI Functions:ai productivity, data analytics, information technology, ai agents

Description for Swift Security

Swift Security is a cohesive AI security architecture aimed at safeguarding organisational data and bolstering reputation by protecting users, developers, and applications. It accomplishes this by utilising public, private, and bespoke Large Language Models (LLMs) while actively overseeing and regulating their application. Swift Security guarantees adherence to various international standards and delivers comprehensive insights regarding generative AI utilisation within an organisation, facilitating rapid and seamless deployment to assist enterprises in mitigating risks and preserving security.

Features of Swift Security

  • Unified AI Security Framework: Delivers a holistic and cohesive strategy for AI-enhanced cybersecurity.
  • Real-time Data Classification: Continuously categorises sensitive information to avert unauthorised disclosure.
  • Visibility and Control over Shadow AI: Identifies and regulates the utilisation of unapproved or hazardous AI applications within the organisation.
  • Identification and Blocking of Risky Browser Extensions: Mitigates potential risks from browser extensions that may access critical data.
  • Fast, Frictionless Deployment: Facilitates rapid and seamless integration within existing enterprise infrastructures.

Use Cases for Swift Security

  • Execute real-time data classification to safeguard sensitive information and regulate user access.
  • Attain oversight and regulation of shadow AI to mitigate dangers and guarantee adherence to international norms.
  • Restrict hazardous browser extensions to avert potential dangers to organisational data.
  • Ensure adherence to various international requirements concerning data protection and artificial intelligence utilization.
  • Acquire comprehensive insights into the application of generative AI within an organisation to mitigate related risks.

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