Accelerate Cyber Intelligence Research with a Reversing AI Agent

Analyze more targets in less time and reach meaningful security insights faster.

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Finding Security Insights Starts with Understanding Complex Binaries

Security researchers often spend days and weeks navigating unfamiliar binaries before they can begin meaningful security analysis. Massive codebases, tens of thousands of unknown functions, stripped symbols, incoherent decompilation, and missing types make it difficult to quickly identify attack surfaces, input handling logic, and the parts that actually matter.

Make Your Security Research Exceptionally Productive

Zenyard provides in-depth binary understanding using purpose-built AI agents that analyze entire files end-to-end. It helps security researchers quickly make sense of unfamiliar binaries, understand program behavior and dataflow, and locate relevant code sections in minutes.

Interface of Zenyard Agent reviewing a TLV Parsing Security Report detailing network-reachable attack surfaces and vulnerabilities.

Built for Air-Gapped & On-Prem Environments

Deploy fully on-premises, even within air-gapped networks

Deploy within your own fully controlled cloud environment

The New Way to Reverse Engineer

Analyze entire binaries

to ensure all critical context
is captured

Transform stripped firmware

binaries into fully named and documented code

Reconstruct iOS and macOS

binaries directly into readable Swift
source code

Resolve raw memory offsets

with end-to-end struct reconstruction

Map out relevant attack surfaces

in minutes with the Zenyard Agent

Determine bug exploitability

with deep-context analysis

From Decompiled Code to Insights You Can Trust

List of programming functions including c2_worker_thread, c2_main_loop, select_next_endpoint, open_c2_connection, build_beacon_packet, send_c2_packet, recv_c2_packet, decode_packet_header, and decrypt_task_blob.

Comprehensive end-to-end file understanding

Code snippet in C-style syntax defining a function in Zenyard Swift Glow with variables including message_id, max_age_ms, creation_time, and age_secs.

Native support for Swift and other high-level languages

Screenshot of pseudocode with syntax-highlighted lines of code including variable assignments, a while loop, if conditions, and increment operations.

Decompiled code is read like source

Partial screenshot of Swift code defining a static function 'merge' inside the Zenyard Struct Weaver with comments and variable declarations.

Whole program struct reconstruction

Overlay of three software windows labeled Ghidra, Binary Ninja, and IDA Pro with zenyard branding and text 'Latest results applied'.

Direct integration with existing decompilers

Screenshot of Zenyard Agent interface reviewing TLV parsing security with a red dot highlighting TLV Parsing Security Report.

Agent-driven interactive binary exploration

Let AI Handle the Reversing Heavy Lifting

Move from decompiled code to meaningful insight, in minutes, not days.
Ask questions, find what matters, and move fast.

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