Bold vs. Cyera for Endpoint Data Protection

Bold vs. Cyera: key takeaways

Cyera and Bold solve different halves of the data problem, and for most organizations solving those challenges are complementary rather than competing. That said, there is overlap which is worth examining.

• What Cyera does: agentless data security posture management at scale. It discovers sensitive data across cloud, SaaS, database services, and on-premises stores, and shows who can reach it. It is the clear leader in that category by funding and footprint.
• What Bold does: protects data in use, on the device, at the moment someone moves it. Classification and enforcement run locally, offline included.
• The overlap: Cyera has expanded into DLP and the endpoint, through the Trail Security acquisition that became Omni DLP, a browser extension, the Genie Security acquisition in 2026, and Cyera Endpoint. The clean posture-versus-prevention line is blurrier than it was a year ago.
• Cyera's DLP design: it sits above the DLP tools you already run, ingesting their alerts and using Cyera's data context to reduce noise and tune policy, so its view of endpoint activity reflects what those tools capture.
• Where Bold starts from: Bold's founders built a DSPM and sold it to Varonis. We are not dismissing the category. We are describing where it stops.

Use cases covered here: endpoint data loss prevention, AI usage control, and insider risk management.

Cyera background

Cyera was founded in 2021 by Yotam Segev, chief executive, and Tamar Bar-Ilan, chief technology officer, both alumni of the Israeli Talpiot program and Unit 8200. It has raised more than $2.3 billion and was valued at $12 billion in June 2026 after a $600 million round, with a further $400 million investment later in the year. Few private security companies have scaled that fast.

The core product is agentless DSPM. Cyera connects to data stores across cloud, SaaS, database services, and on-premises environments, discovers sensitive data, classifies it with its own models, and maps exposure and access. Around that core the company has built quickly, much of it by acquisition: Trail Security in 2024 became Omni DLP, Otterize and Shape AI added runtime and non-human identity capabilities, Oasis Security added agentic access governance, and Genie Security, a small endpoint data protection startup, was acquired in 2026 and folded into the DLP division. Cyera Endpoint and Agent Guardian followed.

That is an enormous amount of ground covered in a short time, and the discovery engine underneath it is genuinely good. Cyera earned its position at the top of the discovery category.

Data at rest, data in motion, data in use

These three phrases get used loosely, and the distinction determines which product you need.

Data at rest is data sitting in a store: an S3 bucket, a database, a SharePoint site, a file share. The questions are where sensitive data lives, who can reach it, and whether it is over-exposed. This is DSPM's home ground and Cyera's strength.

Data in motion is data crossing a network path, inspected by proxies, CASBs, and email gateways.

Data in use is data being handled by a person or a process on a device: opened, edited, copied, renamed, compressed, pasted into a prompt, dragged to a USB drive. Most loss happens here, and it is invisible to anything not running on the device.

A discovery product tells you that a customer database exists and is reachable by 400 people. It cannot tell you that one of them exported it this morning, trimmed the columns, and uploaded it to a personal account. Mature programs run both.

The three use cases in this comparison:

Endpoint data loss prevention: stopping sensitive data from leaving a managed device through web uploads, email, personal cloud accounts, removable media, printing, clipboard, and screen capture.

Insider risk management: identifying when someone is collecting, obfuscating, or moving data they have access to but no business reason to take.

AI usage control: seeing which AI tools and coding assistants run on each device, what data goes into them, and enforcing policy without blocking the tools people need.

Bold vs. Cyera: key differences

An agent on the device versus an agentless architecture

Cyera's core design is agentless, which is why it scales across thousands of data stores with no deployment project. That same design means the device is reached through added components rather than being the architecture.

Bold is on the endpoint by construction. Local files, clipboard, USB writes, printing, AirDrop, Bluetooth, git push, email clients, desktop applications, and AI tools are visible because the models run there.

Classification that acts, not only informs

Cyera classifies to inform posture: what this data is, where it sits, who can reach it, what should be remediated. Bold classifies to enforce: what this data is, who is moving it, where it is going, and whether to coach, redirect, or block right now. About 85% of users comply when coached.

Omni DLP depends on the tools beneath it

Omni DLP is designed to sit above existing DLP products, ingesting their alerts and applying Cyera's data context to cut false positives and tune policy. That is a smart way to improve a stack you already own, and it means the endpoint events it reasons about are the ones your existing endpoint tool captured. If that tool misses desktop applications or offline activity, the layer above inherits the gap.

Endpoint capability built by acquisition is new

Cyera's endpoint capability arrived through a 2026 acquisition and has been shipping for months rather than years. That is a maturity question rather than a criticism. Ask both vendors for channel-level coverage and for references running the endpoint product at your scale.

Bold vs. Cyera comparison

Bold channel and operating system coverage

Comparison tables are easy to write and hard to verify, so here is Bold's coverage by channel and operating system, including the channels where Bold monitors today rather than blocks. Ask any vendor you are evaluating, including us, for the same table.

Key Cyera features

The features below are described as Cyera documents them publicly.

Agentless DSPM

Discovery and classification of sensitive data across cloud, SaaS, database services, and on-premises stores with no agents to deploy.

AI-native classification

Classification built on its own model stack rather than pattern libraries, applied to the data it discovers.

Omni DLP

A DLP layer, originally from the Trail Security acquisition, that orchestrates policy across Cyera's own capabilities and third-party DLP tools through API integrations.

Data access governance

Mapping of who can reach which data, extended into non-human identity and agentic access after the Oasis Security acquisition.

AI security

Guardian capabilities covering AI usage and AI agents, added alongside the posture products.

Endpoint and browser coverage

A browser extension and an endpoint agent, the latter built on technology acquired in 2026.

Our honest take: buy the DSPM, then cover the device

Bold and Cyera sit side by side far more often than head to head, and the reason is structural rather than diplomatic. Our founders built a DSPM company and sold it to Varonis, so we know what the category does well. It answers the inventory question at a scale nothing on the endpoint can match.

The wedge is a question rather than an accusation: your DSPM tells you where sensitive data lives in the cloud, so can it tell you what happens after an employee downloads it to a laptop? If the answer is a dashboard rather than an enforcement decision, that is the gap we fill.

The complication worth acknowledging is that Cyera is expanding toward the endpoint and has the balance sheet to keep buying capability. We think architecture still matters, because a product that started agentless and added agents is not the same as one built from the device outward, and because the Omni DLP model only reaches what the tools beneath it capture. A year from now that argument may need rewriting, and we would rather say so than pretend the market stands still.

If you are buying one thing this year and your data lives mostly in cloud stores you cannot inventory, buy the DSPM. If your incidents are people moving files on laptops and pasting into AI tools, buy the endpoint control.

Cyera alternatives

Bold: real-time data protection for the modern endpoint, covering data in use where DSPM stops. Purpose-built AI models run locally to classify by meaning and prevent loss at the moment of action, offline included.

Varonis: the long-standing leader in data access governance and on-premises data security, with a strong insider threat heritage.

Microsoft Purview: DSPM and classification for organizations standardized on Microsoft 365, with the compliance machinery attached.

BigID: data discovery and privacy-oriented posture management, strongest where regulatory data mapping is the driver.

Netskope: DSPM delivered alongside inline cloud and web enforcement within its SASE platform.

Cyberhaven: DSPM and DLP from one vendor, built around data lineage, with analysis in its cloud.

The bottom line

One thing to watch: Cyera has assembled its DLP, identity, and endpoint capabilities through a run of acquisitions in under two years. That buys ground quickly, and it also means the parts were built by different teams with different architectures. Ask how deeply the endpoint piece is integrated with the discovery engine, because that integration is where the value of a combined platform actually lives.

Cyera answers where sensitive data lives and who can reach it. Bold decides what happens when someone tries to move it.

• For data at rest across cloud, SaaS, and on-premises stores: Cyera, at a scale we do not attempt.
• For data in use on the device: Bold classifies and enforces locally, offline included, with published channel coverage.
• For DLP: Omni DLP enriches and orchestrates the tools you already own. Bold replaces the endpoint control itself.
• For access governance and non-human identity: Cyera, including agentic access.
• For AI usage control on the device: Bold sees every AI tool on the endpoint and attributes actions to a person or to software acting on its own.

Bold vs. Cyera FAQs

Is Cyera a DLP product?

Cyera began as agentless DSPM and has added DLP, browser, and endpoint capability, partly by acquisition. Omni DLP is designed to orchestrate and enrich alerts from DLP tools already in place as well as deliver its own.

Do Bold and Cyera compete or complement each other?

Mostly complement. Cyera covers data at rest at scale, Bold covers data in use on the device. The overlap is at the endpoint, where Cyera's capability is newer.

Does Bold do DSPM?

No. Bold protects data on the endpoint. Organizations that need to inventory sensitive data across cloud stores should pair us with a DSPM product.

Can a DSPM product stop an employee from exfiltrating data?

Not on its own. Discovery and posture tell you what exists and who can reach it. Preventing the action requires a control on the device at the moment it happens.

Which should we buy first?

It depends on your incidents. If you cannot say where sensitive data lives in the cloud, start with discovery. If your recent incidents involve people moving files from laptops or pasting into AI tools, start with the endpoint.

How mature is Cyera's endpoint product?

It is built partly on technology acquired in 2026 and has been in market for months. Ask for channel-level coverage and references at your scale, and ask us the same questions.

Sources: Cyera $600 million round and valuation, Cyera platform and acquisitions overview, Cyera capability review

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