Polymer protects better than native DLP solutions alone
Secure sensitive data across your SaaS apps without disrupting workflows.
Detect data vulnerabilities
The Polymer platform makes it easy for your information security teams to scan activity across multiple cloud apps and continuously monitor sensitive data that employees are sharing in messages, files, code snippets, and support tickets.
Polymer uses machine learning (ML) techniques such as:
- Regular expression (regex)
- Natural language processing (NLP)
- Named entity recognition (NER)
- Data cluster matching
These ML techniques provide situationally aware risk visibility across your entire cloud app ecosystem so Polymer can surface real threats.
Polymer can pinpoint data security risks where they occur—by channel, individual user, team, or application. The unparalleled accuracy of Polymer’s platform reduces noise for your InfoSec and compliance teams so they can focus on high-priority issues.
Remediate policy violations
Polymer corrects current vulnerabilities to protect you from future threats in Slack, Google Drive, GitHub, and other SaaS apps. Once Polymer detects policy violations, it can automatically warn employees of a risky share, redact the sensitive information, or delete it.
If a data asset is exposed through a link, Polymer can automatically expire links to prevent access. For example, when an employee shares a link to a Microsoft OneDrive or Google Drive file that contains PHI, Polymer can detect it and restrict access immediately or in a set number of days. In GitHub, Polymer can automatically prevent developers from merging code that contains secrets or does not meet your organization’s data policies.
Most of today’s top security vulnerabilities come from well-meaning employees who are not aware of your data policies or best practices. That’s why you need Polymer. Polymer was designed to nudge users in real time when data policies are violated to reduce the same risky behavior in the future. Empower all your employees to take control of data security.
Mitigate ongoing risks
The data security landscape changes every day. Malicious actors know this and exploit it. DLP is not a “set it and forget it” program. You’d need an army of analysts to keep up with the moving pieces across all of your SaaS apps. That’s why Polymer continuously scores risk at the individual and platform level.
Detailed reporting helps your information security team prioritize and easily identify the employees and platforms that pose the greatest risk so they know what to act on first.
Polymer offers unprecedented cross-cloud visibility and one hub to manage DLP centrally, on a single tenant with dedicated KMS keys.
For complex environments, Polymer data feed can be used to enhance SIEM. Improve the ROI of existing DLP solutions and security investments with synthesized SaaS violation data.
Request a free Risk Scan
| Feature | Polymer | Competitors |
|---|---|---|
Detect data vulnerabilities | ||
Detect data vulnerabilities | ||
| Regular expression (regex) A powerful syntax for searching and manipulating text strings. Regex is supported in all major scripting languages, including Perl, Python, PHP, and JavaScript. | ||
| Regular expression (regex) A powerful syntax for searching and manipulating text strings. Regex is supported in all major scripting languages, including Perl, Python, PHP, and JavaScript. | ||
| Natural language processing (NLP) A form of artificial intelligence that allows the system to understand the contents of documents, including contextual nuances of the language within them. | ||
| Natural language processing (NLP) A form of artificial intelligence that allows the system to understand the contents of documents, including contextual nuances of the language within them. | ||
| Named entity recognition (NER) Locates named entities mentioned in unstructured text and classifies them into pre-defined categories such as person names, organizations, or locations. | ||
| Named entity recognition (NER) Locates named entities mentioned in unstructured text and classifies them into pre-defined categories such as person names, organizations, or locations. | ||
Remediate policy violations | ||
Remediate policy violations | ||
| Quarantine sensitive information Remove sensitive data assets from SaaS apps. | ||
| Quarantine sensitive information Remove sensitive data assets from SaaS apps. | ||
| Redact sensitive information Redact sensitive data within messages, files, and code in near real-time. | ||
| Redact sensitive information Redact sensitive data within messages, files, and code in near real-time. | ||
| Expire shared file links Expire public, internal, or restricted links based on content risk calculation. Expiration can be set to happen immediately or in a set number of days. | ||
| Expire shared file links Expire public, internal, or restricted links based on content risk calculation. Expiration can be set to happen immediately or in a set number of days. | ||
| Nudge users to comply Nudge employees within their daily workflows. Using machine learning (ML), Polymer alerts users of risky actions and prompts them to make more secure decisions. | ||
| Nudge users to comply Nudge employees within their daily workflows. Using machine learning (ML), Polymer alerts users of risky actions and prompts them to make more secure decisions. | ||
| Accept risk (user permission) Empower employees to make data security decisions by accepting or rejecting data policy violations. | ||
| Accept risk (user permission) Empower employees to make data security decisions by accepting or rejecting data policy violations. | ||
Mitigate Ongoing Risks | ||
Mitigate ongoing risks | ||
| Score individual & platform risk Analyze every data policy violation and assign risk scores to each employee. data-driven confidence to choose a mitigation strategy. | ||
| Score individual & platform risk Analyze every data policy violation and assign risk scores to each employee. data-driven confidence to choose a mitigation strategy. | ||
| Report calculated risk scores Detailed reports show your analysts where sensitive data resides in your SaaS apps and who is exposing that data. Your team can prioritize between many mitigation options and choose what to fix first. | ||
| Report calculated risk scores Detailed reports show your analysts where sensitive data resides in your SaaS apps and who is exposing that data. Your team can prioritize between many mitigation options and choose what to fix first. | ||
| Manage DLP centrally Host DLP platform on an easily-installed single tenant, with dedicated KMS keys. Polymer’s API calls authenticate with JSON web tokens to seamlessly integrate with legacy DLP solutions and other SaaS apps for centralized coverage. | ||
| Manage DLP centrally Host DLP platform on an easily-installed single tenant, with dedicated KMS keys. Polymer’s API calls authenticate with JSON web tokens to seamlessly integrate with legacy DLP solutions and other SaaS apps for centralized coverage. | ||
Evaluate Polymer with other DLP solutions
Polymer vs other CASB & DLP solutions
Legacy CASB and DLP solutions overwhelm security teams with alerts. Polymer DLP automates processes and reduces noise.
Polymer with Forcepoint
Extend DLP from Forcepoint infrastructure to SaaS apps using Polymer DLP.
Polymer with Netskope
Netskope customers can get superior sensitive data protection within SaaS apps using Polymer DLP.
Polymer with ZScaler
Polymer DLP is a critical addition to ZScaler installs for SaaS environments and user-level data risk mitigation.
Polymer with Proofpoint
Using Proofpoint? Polymer DLP prevents internal exposure before the end point is reached.
