Zenyard, a cybersecurity startup building what it describes as the first purpose-built AI agent for software reverse engineering, has emerged from stealth following a pre-seed funding round led by Mindset Ventures. The round also included participation from TAU Ventures, Zuk Avraham, Raanan Raz, and additional investors.
The company is focused on transforming reverse engineering, a foundational but highly specialized discipline within cybersecurity. Used across security research, vulnerability assessment, malware analysis, and threat intelligence, reverse engineering is widely regarded as one of the most complex areas in the field. Despite its importance, it is practiced by only a small subset of cybersecurity engineers due to its technical difficulty and time-intensive workflows.
Researchers today rely heavily on manual processes, often spending days reconstructing context from decompiled code, navigating dead ends, or skipping potentially relevant sections of software due to time constraints. According to Zenyard, these workflows have not kept pace with the growing scale and complexity of modern software systems.
While generic AI tools and do-it-yourself MCP-based solutions have recently entered the reverse engineering space, Zenyard argues that they frequently fall short in real-world research environments. These tools often provide only partial analysis, lack full binary context, and can generate inaccurate or hallucinated outputs. As a result, many security researchers remain skeptical of AI-driven reverse engineering solutions that prioritize speed over reliability.
Zenyard is taking a different approach by developing an AI agent specifically designed for reverse engineering workflows. Built by reverse engineers, the platform is engineered to understand entire binaries rather than isolated code snippets. It performs deep decompiled code analysis and emphasizes explainability to ensure researchers can validate and trust its findings.
The agent integrates directly into the decompilers security researchers already use, enabling teams to adopt the technology without disrupting existing workflows. The goal is to allow researchers to move more quickly toward meaningful insights rather than spending excessive time on manual reconstruction.
Zenyard says its platform is already deployed across leading research teams in security and threat intelligence organizations. The company is continuing to invest in expanding its multi-agent architecture to accelerate expert researchers and enable SOC and security analysts to independently investigate software and malware without requiring advanced reverse engineering expertise.
KEY QUOTES
“We built Zenyard out of our own experience working closely with security researchers and seeing the same bottlenecks repeat over and over. Even the best researchers spend too much time analyzing decompiled code with outdated tools instead of focusing on meaningful insight. Reverse engineering has not kept up with the pace of modern software. We’ve built Zenyard with the mission to help researchers focus on insight, not reconstruction, and give them AI they can actually trust on real, complex binaries.”
Yuval Luria, Co-Founder And CEO, Zenyard
“We see a strong parallel between what tools like Cursor and Codex did for developers and what Zenyard is doing for reverse engineering. As software complexity continues to grow, researchers need a fundamentally new way to understand binaries. Zenyard is creating a new category with a purpose-built AI agent, and the team’s firsthand experience with real-world reversing challenges, combined with deep security and AI expertise, uniquely positions them to lead this shift.”
Boaz Albaraness, Managing Partner, Mindset Ventures
