Released: 2025-07-22
We’re happy to announce the release of Forward Enterprise 25.7.0, which includes a new Infoblox integration, improvements to NQE AI Assist, security dashboard optimizations, expanded STIG and EoL support, and enhancements to Inventory+ diffing and IPv6 modeling.
See the full Forward Enterprise 25.7.0 release notes for more details.
Integrations – Infoblox DDI
Forward Enterprise now integrates directly with Infoblox DDI, enabling the automatic push of discovered network data, such as subnets, IP addresses, and device metadata, into Infoblox IPAM. This replaces legacy NetMRI-based workflows, which are being phased out by Infoblox, and ensures that IPAM records stay accurate and up to date.
By reducing the need for manual synchronization, this integration helps eliminate data inconsistencies and improves the reliability of DNS and DHCP operations.
Forward AI – AI Assist Improvements
This release introduces an improved schema retrieval algorithm that improves the quality of NQE query generation by 21%.
Security – Vulnerability Dashboard Redesign
The redesigned Vulnerabilities Dashboard loads faster by showing only summary data up front and loading per-device details on demand. Detailed results are now available in expandable drawers, improving responsiveness and making it easier to work with large datasets.
Security – STIGs for F5 and Arista (Partial)
STIG analysis now includes expanded support for both F5 and Arista devices:
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F5 BIG-IP TMOS: 86 new DISA STIG rules have been implemented, with support spanning ALG, DNS, FW, NDM, and VPN components. Legacy F5 STIGs authored by DISA are slated for removal in an upcoming release.
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Arista EOS 4.x: Partial support has been added for Arista MLS STIGs, including L2S, NDM, and Router profiles, increasing coverage for DISA compliance programs.
Data Analysis – End-of-Life (EoL) Support for F5 Platforms
EoL analysis, introduced in version 24.11, has been expanded to include F5 hardware platforms. This allows teams to monitor lifecycle status, plan for decommissioning, and ensure platform compatibility across a broader set of devices. F5 EoL data is now fully integrated into existing platform lifecycle reporting and inventory workflows.
Data Analysis – Selective Execution for Inventory+ Diffs
To improve scalability and system performance, Inventory+ table diffs are no longer run automatically. Instead, users can selectively trigger diffs for relevant tables when needed. Enhancements include:
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Manual controls to run diffs on demand
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Stale data indicators to highlight outdated results
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Admin-configurable execution preferences for both Library and organization-level NQE queries
This opt-in model reduces unnecessary compute overhead while preserving the ability to investigate and track key changes.
