Tootfinder

CyberSOCEval: Benchmarking LLMs Capabilities for Malware Analysis and Threat Intelligence Reasoning
Lauren Deason, Adam Bali, Ciprian Bejean, Diana Bolocan, James Crnkovich, Ioana Croitoru, Krishna Durai, Chase Midler, Calin Miron, David Molnar, Brad Moon, Bruno Ostarcevic, Alberto Peltea, Matt Rosenberg, Catalin Sandu, Arthur Saputkin, Sagar Shah, Daniel Stan, Ernest Szocs, Shengye Wan, Spencer Whitman, Sven Krasser, Joshua Saxe

CyberSOCEval: Benchmarking LLMs Capabilities for Malware Analysis and Threat Intelligence Reasoning
Today's cyber defenders are overwhelmed by a deluge of security alerts, threat intelligence signals, and shifting business context, creating an urgent need for AI systems to enhance operational security work. While Large Language Models (LLMs) have the potential to automate and scale Security Operations Center (SOC) operations, existing evaluations do not fully assess the scenarios most relevant to real-world defenders. This lack of informed evaluation impacts both AI developers and those apply…

Astra Nova, which develops no-code tools that enable creators to launch blockchain-based entertainment experiences, raised $48.3M (CoinDesk)
https://www.coindesk.com/business/2025/10/17/astra-nova-raises-usd48-3m-to-grow-web3-ai…

Astra Nova Raises $48.3M to Grow Web3, AI Entertainment Ecosystem
The company develops no-code tools that enable creators to launch blockchain-based entertainment experiences.

AISysRev -- LLM-based Tool for Title-abstract Screening
Aleksi Huotala, Miikka Kuutila, Olli-Pekka Turtio, Mika M\"antyl\"a
https://arxiv.org/abs/2510.06708 https://…

AISysRev - LLM-based Tool for Title-abstract Screening
Systematic reviews are a standard practice for summarizing the state of evidence in software engineering. Conducting systematic reviews is laborious, especially during the screening or study selection phase, where the number of papers can be overwhelming. During this phase, papers are assessed against inclusion and exclusion criteria based on their titles and abstracts. Recent research has demonstrated that large language models (LLMs) can perform title-abstract screening at a level comparable …