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Zscaler Posture Control

2026-06-26-03ac8da0 commercial

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

all 6 features, with the evidence for each →

Features

6 capabilities

Built from Zscaler Posture Control's releases, docs, README and our own runs. “Seen” marks the month we first spotted a release the vendor didn't date. Group names and tags are our labels.

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What Zscaler Posture Control offers you

  • Agent-based deployment1
  • Ticketing integration1
All capabilities 6 capabilities
AI Security Posture Management (AI-SPM) shipped Continuously discovers and assesses the security posture of AI assets — including shadow AI, unsanctioned models, embedded SaaS AI, developer-built agents, and MCP servers — surfacing misconfigurations, excessive permissions, vulnerable RAG frameworks, and exposed data pipelines. 3 releases · first seen Jun 2026

release

  • New Endpoint AI Security Attack Chain Analysis capability reasons over the full state of an endpoint — AI agents, coding assistants, IDE and browser extensions, installed software, packages, and system configuration — to construct a realistic, step-by-step attack chain rather than a flat list of findings. changelog · Sep 2026 · source · release history
  • New AI Security Posture Management (AI-SPM) provides continuous discovery and posture assessment of AI assets including shadow AI, unsanctioned models, embedded SaaS AI, developer-built agents, and MCP servers. changelog · Jun 2026 · source · release history
  • Adds posture assessment for AI-specific risks: misconfigurations, excessive permissions, vulnerable RAG frameworks, and exposed data pipelines. changelog · Jun 2026 · source · release history
Remediation workflow integrations shipped Integrates remediation workflows with ITSM platforms (Jira, ServiceNow), DLP, and DSPM tools, providing prioritized alerts and least-privilege access enforcement. 2 releases · first seen Jun 2026

Also counts toward: Ticketing integration

release

  • Attack chain output labels each step as confirmed on the host, inferred from state, or flagged for verification, and produces a prioritized remediation roadmap ordered by attacker progression. changelog · Sep 2026 · source · release history
  • Remediation workflows integrate with ITSM (Jira, ServiceNow), DLP, and DSPM platforms, with prioritized alerts and least-privilege access enforcement. changelog · Jun 2026 · source · release history
Endpoint AI security agent shipped Deploys as a standalone or integrated module on endpoints to monitor and secure the host environment for AI-related assets and configurations. 1 release · first seen Sep 2026

Also counts toward: Agent-based deployment

release

  • Runs as an endpoint agent either standalone or as a module within the existing Zscaler client, which is deployed on more than 70 million devices, and is fully controlled and policy-scoped. changelog · Sep 2026 · source · release history
AI Bill of Materials (AI-BOM) shipped Maps model lineage across discovered AI assets to provide supply-chain visibility. 1 release · first seen Jun 2026

release

  • New AI Bill of Materials (AI-BOM) maps model lineage across discovered AI assets for full supply-chain visibility. changelog · Jun 2026 · source · release history
AI posture drift detection shipped Continuously compares permission scope, configuration state, and data access patterns against established baselines to surface gradual changes that point-in-time assessments would miss. 1 release · first seen Jun 2026

release

  • New AI posture drift detection continuously compares permission scope, configuration state, and data access patterns against established baselines to surface slow-erosion changes point-in-time assessments miss. changelog · Jun 2026 · source · release history
Automated AI red teaming shipped Runs continuous, high-scale adversarial tests across the AI lifecycle and maps findings to MITRE ATLAS, NIST AI RMF, OWASP LLM Top 10, and the EU AI Act. 1 release · first seen Jun 2026

release

  • Automated red teaming runs continuous, high-scale tests across the AI lifecycle and maps findings to MITRE ATLAS, NIST AI RMF, OWASP LLM Top 10, and the EU AI Act. changelog · Jun 2026 · source · release history

Lines in monospace are the tool's own words: help text parsed from its source, or an endpoint from its API document. Under release, a line is our summary of a dated release. Under docs, it is quoted from the tool's own documentation or website. Each links back to the source it came from.

Score card

  1. Shipping velocity releases a month, last 12 months
  2. Documentation quality release-notes rubric, 0–100
  3. Breaking-change discipline how rarely a release breaks users, and notice given
  4. Maintenance risk quiet time against its own cadence, maintainers
  5. 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.

Score cards are part of every paid plan.

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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…

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Website history

zscaler.com, every change

Zscaler'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.

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Releases

2 entries

  1. September 20261
  2. June 20261

    2 entries

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