Ivanti vs Hatz AI
Side-by-side trajectory, velocity, and editorial themes.
Ivanti's Secure Access Client ships weekly mobile point releases — 22.7.4 through 22.8.7 — with documentation as the only visible signal.
The visible Ivanti feed is dominated by weekly Supported Platforms Guides for the Ivanti Secure Access Client (formerly Pulse Secure) on iOS, Android, and ChromeOS, spanning versions 22.7.4 through 22.8.7. A cumulative Android release notes index for 22.2.1–22.8.6 and accompanying admin and MDM deployment guides confirm steady mobile-client cadence. The captured content is documentation landing pages, not detailed change descriptions.
With only documentation pages observable, product trajectory is hard to read concretely. The frequent point releases suggest active maintenance of the mobile security client; the historical Pulse Secure → Ivanti rebrand and the Classic UI / New-UI dual maintenance both indicate gradual consolidation rather than a fresh directional move.
Expect continued weekly point releases on 22.8.x and a likely transition to 22.9.x or a 23.x line later in 2026. Substantive product moves probably exist in detailed release notes the crawler isn't reaching — a different ingestion path (the per-version release notes endpoints, not the SPG landing pages) would surface more useful signal.
Hatz AI is building the AI workspace for MSPs — per-message model routing, tenant tooling, custom MCP.
Hatz AI is shipping at a high cadence across three connected themes. First, model routing: Auto-LLM picks the right model per message based on task and tools, then layered into Lite, Performance, and Turbo tiers; the catalog keeps adding models (Opus 4.7, Gemini 3.5 Flash, Gemini 3.1 Flash Lite, Gemma 4) with per-model credit multipliers surfaced in the UI. Second, MSP control plane: bulk tenant creation via CSV, custom roles with credit limits, workshop access controls, and embedded support chat in the admin dashboard. Third, surface expansion: audio uploads with auto-transcription, image generation in workflows, file output attaching to chats, 60+ supported file types, speech-to-text in chat, and a steady cadence of integrations and custom MCP server improvements.
The product is taking shape as a multi-tenant AI workspace tuned for MSPs and partner-led delivery — the tenant CSV, credit limits, and workshop sharing are unusual for a generalist AI tool and tell you who buys this. Auto-LLM and tiered routing make sense in that context: an MSP needs cost control across many tenants without micromanaging model picks. Custom MCP and the broad integration cadence position Hatz as a tools-aggregator over multiple LLMs rather than a model wrapper.
Expect more MSP-centric controls — per-tenant budgets, white-label theming, billing reconciliation — and Auto-LLM to grow visible routing telemetry so MSP admins can see why a given model was picked. The custom MCP surface is likely to evolve toward a marketplace pattern with shareable MCP packages across tenants.
See more alternatives to Ivanti →
See more alternatives to Hatz AI →