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FDIE
Firmware security analysis across releases for device teams
Table of Contents
FDIE - 2026 Pricing, Features, Reviews & Alternatives


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Last updated: October 2026
FDIE overview
What is FDIE?
FDIE is a firmware security analysis product designed for product security teams, connected device manufacturers, and industrial and energy sector organisations. It unpacks firmware images, identifies components, and generates SBOMs, providing structured evidence across firmware releases rather than isolated point-in-time snapshots. Delta Intelligence tracks changes between releases at the component and function level, surfacing what shifted and why decisions were made. Dynamic analysis capabilities include bounded emulation, runtime observation, and fuzzing. Vulnerability prioritisation correlates findings against NVD, EPSS, and CISA KEV data using binary-level checks to reduce noise and focus attention on exploitable risk. Continuous daily monitoring re-checks previously analysed firmware as new vulnerability data emerges, keeping evidence current without requiring manual re-submission.
FDIE supports compliance evidence generation, including framework checks, component inventories, and disclosure records, producing outputs suitable for regulatory submissions and product security reviews. Findings are traceable and defensible, supporting structured disclosure workflows. Deployment options include hosted (cloud), dedicated, and on-premises installations, with air-gapped (offline) support for organisations operating under strict network isolation requirements. Self-service and Enterprise plans are available, with configurations covering seats, storage, and analysis volume. Target industries include connected devices and embedded software supply chains, industrial and energy infrastructure (gateways, controllers, and charging systems), connected buildings (building controls, access systems, and connected equipment), and product security review workflows.
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FDIE's key features
Most critical features, based on insights from FDIE users:
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