Immuta

Immuta

Cloud-based data security with ABAC access

Overview

Immuta provides a cloud-based data security platform that helps organizations protect data in the cloud and meet regulatory requirements. It scans and classifies sensitive data, allowing data owners to create and enforce data policies using Attribute-Based Access Control (ABAC) based on user, data, and environment attributes. It also tracks data use and flags risks for remediation to support compliance. Immuta integrates with major cloud providers and aligns with the NIST cybersecurity framework, offering a single service that combines sensitive data discovery, access control, and data-use monitoring. Unlike competitors, it emphasizes policy-driven, attribute-based access control across cloud environments and end-to-end data protection, rather than just simple encryption or user-based permissions. The company's goal is to help businesses securely manage their data in the cloud and stay compliant with data protection regulations.

About Immuta

Simplify's Rating
Why Immuta is rated
B-
Rated B on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Data & Analytics

Enterprise Software

Cybersecurity

Company Size

51-200

Company Stage

Series E

Total Funding

$266.2M

Headquarters

Boston, Massachusetts

Founded

2015

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Simplify's Take

What believers are saying

  • June 2026 Snowflake and Databricks launches put Immuta inside enterprise AI workflows.
  • October 2025 Marketplace GA shortened governed provisioning from weeks to minutes.
  • Immuta's 2025 AI-market positioning matches urgent demand for secure access at machine speed.

What critics are saying

  • Snowflake and Databricks can absorb governance features, compressing Immuta's standalone value.
  • Privacera, Collibra, Informatica, and Satori attack the same governance budget.
  • If agentic data access commoditizes, Immuta becomes a feature, not a company.

What makes Immuta unique

  • Immuta externalizes policy, enforcing fine-grained access across Snowflake, Databricks, and BigQuery.
  • Its agentic access model treats AI agents as first-class identities with audit trails.
  • Marketplace plus guardrails turns governance into governed self-service, not ticket-driven security.

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Funding

Total Funding

$266.2M

Meets

Industry Average

Funded Over

7 Rounds

Series E funding typically includes additional rounds after Series D if the company needs more capital. The business is usually stable, and these rounds are typically used for further expansion or to address market challenges.
Series E Funding Comparison
Meet Average

Industry standards

$100M
$245M
Stripe
$250M
Reddit
$1.3B
Epic Games
$1.5B
Airbnb

Benefits

Medical, dental, & vision premiums

100% employer paid mental wellness platform

Stock Options

Wellness perks

Paid parental leave

Unlimited PTO

Learning and Development Resources

Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

-1%

2 year growth

-5%
DevOps.com
Jun 23rd, 2026
Newly appointed CloudBees CEO charts agentic AI engineering course.

Newly appointed CloudBees CEO charts agentic AI engineering course. The newly appointed CEO of CloudBees, Mo Plassnig, says that as the agentic artificial intelligence (AI) era dawns, the time has come to reinvent software engineering in a way that moves beyond human-centric tooling. Plassnig, who earlier this month succeeded Anuj Kapur, joins CloudBees from Immuta, a provider of a data security and governance platform, where he served as chief product officer. However, Plassnig was also one of the founders of Codeship, a provider of a hosted continuous integration and continuous delivery (CI/CD) platform that CloudBees acquired in 2018. As the way applications are built and deployed fundamentally changes, DevOps workflows will need to evolve to accommodate massive amounts of code that is being generated by both professional developers and, increasingly, so-called citizen developers, said Plassnig. In fact, writing code is no longer a constraint, he added. Before too long, end users will routinely express an intent that will be converted into a set of prompts that generate not just code but also a pull request, noted Plassnig. Software engineering teams, as a result, will need to focus on how to define agentic engineering workflows that rely more on AI agents to review, observe and deploy code generated using AI coding tools. Current workflows are still far too dependent on, for example, software engineers to review code that is being created at a pace that is already overwhelming existing human-centric workflows, noted Plassnig. It will not be feasible, however, to reinvent software engineering workflows overnight. Instead, over time software engineering teams will be able to transition to agentic engineering workflows as existing tools, platforms and processes are re-engineered, said Plassnig. The challenge will be determining what mix of tools to adopt first based on how rapidly they evolve and existing commitments to CI/CD platforms such as Jenkins. Existing CI/CD investments will continue to remain relevant but increasingly the primary end user of those platforms will be AI agents, he added. Humans, instead, will assume more responsibility for overseeing the management of tasks performed by those AI agents as they mix and match AI models based on total cost and performance requirements, noted Plassnig. In fact, the overall level of stress for software engineering teams might not even decline in the age of AI, he added. Instead, as application development and deployment scale using AI agents, software engineering teams are likely to encounter different types of stress, noted Plassnig. CloudBees has not ruled out any potential acquisitions to accelerate its overall strategy, with the focus being on providing a mix of organic innovations and, if necessary, acquisitions, added Plassnig. Exactly how long it might take for each organization to fully embrace agentic engineering will naturally vary. The one thing that is certain is first movers will have a distinct advantage over rivals that find their pipelines are clogged with code that never actually makes it into a production environment. After all, the point of the exercise is not just to generate more code, but to deploy higher-quality applications faster.

Digital IT News
Jun 17th, 2026
CloudBees appoints Moritz Plassnig as CEO.

CloudBees appoints Moritz Plassnig as CEO. CloudBees has announced the appointment of Moritz Plassnig as Chief Executive Officer, effective immediately. Plassnig succeeds Anuj Kapur, who guided the company through a period of operational transformation, profitability, and revenue growth while serving major enterprise customers. A founder of Codeship and experienced product leader, Plassnig returns to CloudBees to advance its vision for governed AI software delivery in the era of agentic coding, with a strong focus on developer trust. Plassnig, founder of Codeship, the continuous integration and delivery platform acquired by CloudBees in 2018, returns with a rare combination: deep enterprise product instincts and a track record of building tools developers love. Most recently, Moritz served as Chief Product Officer at Immuta, a data security and governance platform, where he oversaw product, engineering and customer success. He will also join the CloudBees Board of Directors. Plassnig assumes leadership at a pivotal moment for the software industry as AI is writing an increasing share of enterprise code. The enterprises CloudBees serves, including software and technology companies, financial institutions, governments, and critical infrastructure providers, want to embrace this shift. With agents now committing, testing, and deploying code autonomously, the bottleneck has shifted from generating code to governing what ultimately reaches production environments. "Software development is on the brink of its own revolution," said Moritz Plassnig, CEO of CloudBees. "Enterprises are under pressure to adopt agentic coding without losing control, and that requires oversight, auditability, and humans in the loop. CloudBees has spent more than a decade earning the trust of the world's largest and most regulated engineering organizations. The question every CIO is asking right now is: how do I move at the speed of AI without losing the ability to explain, audit, and stand behind what ships? That's the problem we're built to solve, and there's no better moment to solve it." Under Plassnig, CloudBees is moving immediately to be an AI-first company in the products it builds and ships, and in how it runs the business itself, with AI agents already embedded across CloudBees' own engineering, marketing, and customer operations. The company's open and flexible governance layer gives CIOs, CISOs, and platform leaders one place to set policy, manage risk, and maintain control over how software is built, secured, and released across every tool in their stack, not only CloudBees' own. Every change, human or AI, becomes visible, auditable, and accountable, and the Global 2000 can adopt AI-driven development securely without replacing the tools and workflows their teams already rely on. Plassnig is already engaging with customers, and this will continue to be his priority in the coming weeks. "We are grateful to Anuj for leaving CloudBees profitable and focused. But the Board didn't bring Moritz in to stay the course," said Sacha Labourey, Co-founder and Board member, CloudBees. "Agentic coding fundamentally changes what enterprises need from us, and CloudBees will change just as radically. Moritz understands what it takes to build software in the agentic era because he has done it, and that changes how he thinks about the governance enterprises require and the developer experience that makes governance something teams choose rather than tolerate. He has the urgency to lead that transformation."

PR Newswire
Jun 15th, 2026
Immuta launches agentic data access for Databricks to secure autonomous AI agents

Immuta has expanded its partnership with Databricks, launching four new capabilities designed to enable secure deployment of autonomous AI agents. The solutions include Agentic Data Access for Databricks, Intent-Driven Access Control, the Comply App for Unity Catalog, and scalable group-based permission assignment. The Agentic Data Access capability addresses security challenges by validating user identities and dynamically limiting agent access to required data only, eliminating the need for pre-provisioned accounts. Intent-Driven Access Control, powered by Databricks Unity Catalog's role-based access controls, provisions permissions based on current tasks and removes them automatically when tasks end. The Comply App enables teams to query governance questions in plain English, whilst the Group-Based Permission Assignment feature allows Immuta's policies to scale without hitting platform limits. All capabilities are now available to Databricks customers.

PR Newswire
Jun 2nd, 2026
Immuta launches new Agentic Data Access capabilities on Snowflake AI Data Cloud.

Immuta launches new Agentic Data Access capabilities on Snowflake AI Data Cloud. Jun 02, 2026, 15:00 ET New integrations, powered by Snowflake, help joint customers govern AI agent access, provision data at machine speed, and unlock natural language compliance insights across the Snowflake AI Data Cloud SAN FRANCISCO, June 2, 2026 /PRNewswire/ - Immuta, the Data Provisioning Company, today announced at Snowflake's annual user conference, Snowflake Summit 26, the launch of three new capabilities on the Snowflake AI Data Cloud. These capabilities, powered by Snowflake, will help joint customers to provision and govern data access for AI agents at enterprise scale, delivering trusted, policy-driven access for every data consumer, human or AI, without slowing innovation. "The bottleneck for enterprise AI isn't the model, it's the trust," said Steve Touw, CTO and Co-founder at Immuta. "By combining Snowflake Cortex AI's native query planning with Immuta's policy-driven access provisioning, joint customers can now deploy AI agents that are both highly capable and strictly governed. That's what it means to provision data for the agentic era." By leveraging the Snowflake AI Data Cloud, Immuta is joining Snowflake in helping organizations scale governed access for every user and AI system. The three new capabilities, available on Snowflake Marketplace, address some of the most pressing challenges enterprises face as they deploy agentic AI at scale: * Immuta Agentic Data Access, Powered by Snowflake Cortex AI: This capability enables AI agents to interact with enterprise data using natural language, leveraging Cortex for query planning while Immuta enforces access boundaries at the session level. For every agent interaction, Immuta vends a unique, temporary role scoped to the user the agent is acting on-behalf-of, so no agent can access data beyond what the authorizing user is permitted to see. * Agent Principal Context: Immuta extends Snowflake's agent principal contexts to govern outbound agentic access to data outside of Snowflake. Access is provisioned dynamically with zero standing privileges, and every agent interaction is captured in a dual-identity audit trail, tying agent activity back to the authorizing user. * The Immuta "Comply" App for Snowflake Horizon Catalog: this natural language interface allows compliance and security teams to query their Horizon environment in plain English, turning complex permission structures into transparent, searchable, actionable insights. "As AI agents become central to how enterprises interact with data, governance capabilities must keep pace," said Prasanna Krishnan, Head of Horizon Catalog and Marketplace, Snowflake. "We look forward to driving deeper value for Snowflake's AI Data Cloud ecosystem through collaboration with Immuta to allow access to governed, policy-driven agentic data access through Snowflake's single, integrated platform." Partnering with Snowflake to launch these new capabilities, Immuta enables joint customers to govern AI agent access at enterprise scale without sacrificing speed or compliance. Check out keynotes from Snowflake Summit 26 live or on-demand here and stay on top of the latest news and announcements from Snowflake on LinkedIn and X. About Immuta Since 2015, Immuta has helped Fortune 500 companies and government agencies put data to work faster and more safely than ever before. As organizations face exploding demand for data access provisioning from both human and AI systems, Immuta's platform automates data provisioning and governance across complex data ecosystems. By eliminating manual processes that create access delays, Immuta helps enterprises provision secure access at unprecedented speed while maintaining continuous compliance. The company's intelligent solutions streamline collaboration between data consumers, stewards, and governors, enabling organizations to scale data use without scaling risk. For more information, visit immuta.com. SOURCE Immuta

PR Newswire
Mar 24th, 2026
Immuta launches first data provisioning platform for managing AI agent access to enterprise data

Immuta has launched the first data provisioning platform for managing AI agent access to enterprise data. The new Agentic Data Access capabilities treat AI agents as first-class identities with their own attributes and audit trails, enabling them to act on behalf of users without impersonation or standing privileges. The platform addresses challenges in enterprise AI deployment, where traditional provisioning models rely on static roles and manual approvals unsuitable for agents operating continuously at machine speed. Immuta's solution evaluates requests against centrally defined policies and provisions temporary access directly in data platforms like Snowflake and Databricks, automatically removing permissions when tasks complete. The company plans to extend these capabilities with semantic governance and agent-initiated access requests, enabling real-time, question-driven provisioning whilst maintaining governance and accountability.

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