CyberSecEval vs WitnessAI

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.

WitnessAI is an enterprise AI security and governance platform for employee, model, application, and agent AI use. It finds AI applications, agents, and MCP servers, then presents prompts, responses, and agent activity in real time. Its catalog detects more than 4,000 AI applications without an endpoint client. Organizations can route prompts by risk, cost, or purpose and set policies by department, role, intent, or workforce type. The platform can redact sensitive data, create audit trails, block prompt injection and jailbreaks, and filter harmful model outputs. It also governs agent access to MCP servers and tools, recording blocked calls with user, agent, tool, and rule details. WitnessAI describes network-level operation without new SDKs, extra clients, or invasive instrumentation. Its architecture includes single-tenant isolation, customer-controlled encryption, executive privacy modes, and multi-region deployment. Monitoring includes Windows 11 Copilot, Office 365, and other desktop AI applications without endpoint clients or browser extensions. Pricing is custom and not published in self-service tiers; organizations can request a personalized demo.