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What is Cisco AI Defense?

Cisco AI Defense is a solution designed to create end-to-end protection for enterprises building, using, and innovating with AI.

Categories & Use Cases

How I find it useful using Cisco AI Defense

Use Cases and Deployment Scope

Cisco AI Defense is a new comprehensive security solution. It is new to the field and geared specially for AI workloads.

Instead of everyone using their own AI tools, Cisco AI Defense becomes the tool that everyone uses in organization for performing genuine AI searches and research.

It safeguards against third party tools accessing unlimited sources of data, and prevents data leaks that can pose significant security and data leakage risks.

Pros

  • Stays within the framework of organization data searches
  • It provide end-to-end protection for the entire AI lifecycle, from development, test and deployment to ongoing usage
  • Prevents getting corrupted data that could be harmful

Cons

  • Larger Large Language Models inclusion and associated RAG
  • Better training and testing, tuning
  • more comprehensive and better data modelling
  • edge inference and tooling for various edge devices

Return on Investment

  • Enhances security guidelines, compliance and policy deployment
  • Prevents data leaks and safety of integrity.
  • Enables visibility and telemetry across environment

Usability

Alternatives Considered

OpenAI API and Palo Alto Networks Advanced Threat Prevention

Other Software Used

Microsoft 365, Acre Security

Perfect

Use Cases and Deployment Scope

We use Cisco AI Defense to detect and block advanced threats in real time across our network.

Pros

  • Accurately detect and block phishing attacks
  • Provide real time threat and alerts
  • Integrated easily with security tool

Cons

  • Dashboard cloud be more user friendly
  • Initial setup is complex for new user
  • More detailed alert explanation would be helpful

Return on Investment

  • Reduce security breach incidents
  • Improve threat detection
  • Increase team efficiency

Usability

Alternatives Considered

360dialog

Other Software Used

Dynatrace

Feedback

Use Cases and Deployment Scope

Identifies AI assets, validate model and apps, protect AI

Pros

  • Platform recognize the new AI model deployment
  • The model undergoing automated testing
  • Policies that detect and strip out sensitive data
  • Preventing bot from sharing sensitive data
  • Report highlight when data leaked

Cons

  • It detects generic risks
  • Automated feedback between runtime and training
  • Deeper model level access

Return on Investment

  • Enhanced AI security
  • Compliance and government
  • Shadow AI management

Usability

Alternatives Considered

Cisco XDR

Other Software Used

Clarity Sec Managed Extended Detection and Response (MXDR), Forescout Platform, LogRhythm UserXDR