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Cisco Catalyst Center vs CyberSecEval

Cisco Catalyst Center

cisco.com

CyberSecEval

meta-llama.github.io

Side by side

FigureCisco Catalyst CenterCyberSecEval
Price from—Free
Free plan—Yes
Free trial——
Open source—Yes
WebYesYes
WindowsYes—
macOSYesYes
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published21
Spec score · LLM Security Tools7.8 (#7)8.9 (#1)
PurposeCisco Catalyst Center is a centralized network controller and management dashboard for enterprise network operations.CyberSecEval 4 is a benchmark suite for assessing cybersecurity vulnerabilities and defensive capabilities in large language models.

Plans

Cisco Catalyst Center

  • Cisco DNA AdvantagePriced on request
  • Cisco DNA EssentialsPriced on request

Cisco Catalyst Center pricing →

CyberSecEval

  • CyberSecEval 4Free

CyberSecEval pricing →

In their own words

Cisco Catalyst Center

Cisco Catalyst Center has no write-up on Specifiction yet; its figures are above.

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CyberSecEval

CyberSecEval 4 is a benchmark suite for assessing cybersecurity vulnerabilities and defensive capabilities in large language models. Its tests measure model responses to cyberattack requests and whether borderline benign requests are incorrectly refused. Secure-code checks look for insecure suggestions in both instruction and autocomplete settings. Prompt-injection tests cover textual, multilingual textual, and visual attacks; a judge LLM evaluates whether injected instructions succeeded. The code-interpreter benchmark evaluates compliance with malicious prompts and sorts judged responses into three categories: extremely malicious, potentially malicious, or non-malicious. AutoPatchBench measures patch-generation agents on fuzzed C and C++ vulnerabilities, while CyberSOCEval, developed with CrowdStrike, covers malware analysis and threat-intelligence reasoning. The guide lists API support for OpenAI, Anyscale, and Together, and explains adding custom providers for self-hosted models. Setup uses a Python virtual environment, installed requirements, and a Python command-line module. The suite is free under the MIT license for research and commercial use. AutoPatch needs substantial resources: the page recommends at least 80 CPUs and 8 TB of storage.

Visit meta-llama.github.io