Zscaler Posture Control
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Zscaler Posture Control monitors and enforces security compliance policies across devices and users in cloud and on-premises environments.
Summary
Zscaler Posture Control is a commercial cloud-native application protection platform (CNAPPCNAPPA cloud-native application protection platform that combines checks across cloud configuration, workloads and development. It helps teams connect risks that separate tools might report apart.) run as a SaaSSaaSSoftware delivered over the internet and run on the provider's infrastructure, so the buyer pays a subscription instead of installing or operating anything locally. service, aimed at cloud security and compliance teams responsible for securing cloud and AI infrastructure. Its AI Security Posture Management capability continuously discovers AI assets—including shadow AI, unsanctioned models, embedded SaaS AI, and developer-built agents—and assesses them for misconfigurations, excessive permissions, and exposed data pipelines, while an AI Bill of MaterialsBill of MaterialsA structured list of every component, library, and dependency that makes up a piece of software or hardware, used by cyber tools to track what is inside a product and surface known vulnerabilities in its parts. maps model lineage for supply-chain visibility. Drift detection compares permission scope and data access against established baselines to catch slow-erosion changes, and automated red teaming maps findings to frameworks like MITRE ATLASMITRE ATLASA MITRE-maintained knowledge base of adversarial tactics and techniques targeting AI and machine learning systems, modelled on ATT&CK, giving cyber tools a structured taxonomy for AI-specific threat modelling., NIST AI RMFNIST AI RMFA voluntary framework published by NIST that gives organizations a structured process for identifying, assessing, and managing risks introduced by AI systems, giving cyber tools a common vocabulary and governance scaffold., and the OWASP LLM Top 10; remediation workflows connect to Jira, ServiceNow, DLP, and DSPM platforms. Launched in 2008, it ships infrequently, with one release in the tracked window, 56 days ago.
Zscaler Posture Control monitors and enforces security compliance policies across devices and users in cloud and on-premises environments.
Zscaler Posture Control publishes no documentation we track, so the description above is written from general knowledge rather than the vendor's own words.
How Zscaler Posture Control helps
Which AI models and agents running in our environment did nobody sanction or even know about?
continuously discovers AI assets across cloud and SaaS, surfacing shadow AI, unsanctioned models, embedded SaaS AI, and developer-built agents alongside the ones already tracked
Which AI systems have quietly gained more access or data exposure than they started with?
compares current permission scope, configuration state, and data access patterns against established baselines and flags the slow-erosion changes a one-time scan would miss
Where could an attacker actually walk through this endpoint to reach something valuable?
reasons over the endpoint's full state — agents, coding assistants, extensions, installed software, packages, configuration — and builds a step-by-step attack chain, marking each step as confirmed, inferred, or needing verification
Which of our AI findings map to a framework an auditor or regulator will recognize?
runs automated red-team tests across the AI lifecycle and ties the results to MITRE ATLAS, NIST AI RMF, OWASP LLM Top 10, and the EU AI Act
Can we trace a model back to where it came from and what it depends on?
builds an AI Bill of Materials that maps lineage across discovered AI assets for supply-chain visibility
Who fixes what once a posture issue is found, and in which system?
routes prioritized alerts into existing ITSM, DLP, and DSPM tooling such as Jira and ServiceNow, and can enforce least-privilege access as part of remediation
Score card
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Shipping velocity releases a month, last 12 months
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Documentation quality release-notes rubric, 0–100
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Breaking-change discipline how rarely a release breaks users, and notice given
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Maintenance risk quiet time against its own cadence, maintainers
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Innovation & surface new capabilities, API and MCP surface
Five scores for Zscaler Posture Control, each built from the releases, notes and API history this site tracks — and, on Researcher and Business, where it stands among every measured tool in its category and how that has moved.
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Blank means never measured; nothing here is a filled-in zero.
Peer standings are included with Researcher and Business. See how this tool ranks against its competitors, using data we don't publish anywhere else.
See plans →Each score is 0–100 on a published rubric, derived from data this site already shows. A dimension we cannot measure says so — it is never scored 0 and never enters a rank.
How this is scored
- Shipping velocity — releases a month over the last 12 months, on a log scale where 16 a month scores 100. Needs 3 releases in the window.
- Documentation quality — the release-notes rubric published on the analytics page, unchanged.
- Breaking-change discipline — the share of releases carrying a breaking change (none scores 100, half or more scores 0). Only projects that label breaking changes are measured: a clean record cannot be told from an unlabelled one.
- Maintenance risk — quiet time measured against the tool's own release cadence (quiet longer than 90 days and three typical gaps scores 0), plus the number of active maintainers and whether contributors are growing, where known. Higher is lower risk.
- Innovation & surface — new capabilities in the feature ledger this year, API and MCP operations added, and the share of commits that are features: the mean of whichever we hold.
- Community health (open-source tools only) — each is a direction, not a size: contributors this year against last, the bus factor now against a year ago, and issues closed per issue opened, where steady scores 50, doubled 100 and halved 0; plus the median time to a maintainer's first reply (an hour scores about 100, a month or more 0). A commercial card has no repository and carries none of the four.
- Documented delivery (commercial tools) — when a vendor's documented new capabilities have slowed against its own baseline, that counts against the overall standing as heavily as two low dimensions. Steady delivery, or too little history to judge, leaves the standing alone; it is never a sixth score.
- Open-source tools are scored on repository signals; commercial tools on their published changelog. Ranks compare tools within one category and one profile and need at least five measured peers; the overall standing needs three ranked dimensions. Best-in-breed or consolidator is a shape, not a quality, and is never scored.
Release-note detail over time
See how much detail Zscaler Posture Control puts in its release notes, quarter by quarter, and compare it with tracked tools in the same category. This history uses up to ten retained, reviewed notes per tool; sparse or blank older quarters may reflect that limit.
Checking release-note history…
Website history
zscaler.com, every changeZscaler's home page and 40 more pages as they looked each month from August 2021 to October 2026: 172 renders, 68 changes of tagline or palette. Step through them, play them, or put any two months side by side.
Website history is included with Researcher and Business.
See plans → Already subscribed? Sign in →← → or h l a month · Shift a year · [ ] previous / next change · Space play · 1 2 3 page · T whole page · C compare · F full size
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Rebranding timeline
Dates bound when a change appeared between captures. Possible rebrands are AI suggestions; a redesign alone does not establish a rebrand.
Releases
2 entries
No entries match these filters.
- September 20261
- June 20261
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