Choose your fighter: Balancing competing requirements to select models for your AI SOC
Cisco Talos guidance explains how SOC teams should balance competing requirements when selecting AI models for SOC and DFIR tasks.
Cisco Talos published guidance on selecting models for security operations center (SOC) and digital forensics and incident response (DFIR) tasks. The piece argues that picking the best model is more involved than it may appear and requires balancing competing requirements. It is intended to help defenders structure their AI model evaluation process.
- Model selection for SOC and DFIR is more complex than expected
- Requires balancing competing requirements and trade-offs
- Aimed at teams building AI-assisted security operations
- Vendors
- Cisco
- Organizations
- Cisco Talos
From the original article
Selecting a model for your security operations center (SOC) and digital forensics and incident response (DFIR) tasks is important, but selecting the best one is more involved than you might think. Here's how to choose.
By David J. Bianco · blog.talosintelligence.com
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