CyberSecEval vs Lasso AI Security Platform

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.

Lasso AI Security Platform provides observability, governance and runtime defense for enterprise AI environments. It inventories AI applications, agents, tools, MCP servers and connected resources, then maps relationships among agents, databases and APIs to identify misconfigurations and policy gaps. Automated red teaming tests applications in static, dynamic and high-agency modes. At the gateway, Lasso inspects prompts, responses, tool calls, MCP communications and sub-agent traffic; policies can block, mask or alert on violations with enforcement under 50 milliseconds. Shadow AI monitoring covers more than 8,000 tools, including chatbots, coding assistants and MCP servers. Supported agents include Vertex AI, Microsoft Copilot, AWS Bedrock, Salesforce Agentforce and custom platforms. Activity and audit trails map to listed security and regulatory frameworks. Deployment can use browser extensions, proxy integrations and data integrations in a hybrid model. Pricing is available on request.