Use Case
Shadow AI and DLP
Organizations need the right Shadow AI governance and data loss prevention tooling in place on all endpoints to allow their employees to fully embrace the benefits of LLMs and use cloud services responsibly.
By uploading corporate data to unsanctioned LLMs, email accounts, file sharing sites and other cloud services, employees can put your company at risk of disclosing sensitive internal information, IP and customer data.
While interacting with the online world employees unknowingly share sensitive information about online and offline behavior.
How Corrata prevents data loss
Corrata protects against unauthorized sharing of data from employees’ phones and tablets. File uploads to unsanctioned LLMs and cloud services are detected and blocked. Access to Shadow AI and other unsanctioned services is controlled. The use of previously unknown applications is identified and policies are updated accordingly. Inadvertent sharing of PII with data brokers is prevented.
Endpoint DLP for Mobile
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Prevent misuse of AI Chatbots
Shadow AI is a new risk vector for data loss
Many employees report using unsanctioned AI services to improve productivity. Corrata provides organizations with a comprehensive capability to monitor and control such use at the mobile endpoint significantly enhancing the basic controls available with MDM.
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Enforce policies for File Storage and Email services
Prevent the use of unsanctioned cloud storage or mail services
Corrata prevents mobile users either intentionally or inadvertently uploading sensitive files to unapproved file shares, email and collaboration applications – whether through mobile apps or web browsers.
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Monitor use of both sanctioned and unsanctioned SaaS services
Allow, block or monitor use of popular enterprise SaaS
Typical medium and large organizations use over 100 individual SaaS services across sales, marketing, finance and IT. Increasingly, these services are mobile-first. Corrata’s fine grained controls allow you to implement policies which balance risk with productivity.
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Ad Intelligence
Prevent leakage of PII via the online advertising ecosystem.
The real-time bidding advertising ecosystem shares sensitive data with thousands of unregulated data brokers. This has become a channel for the leaking of sensitive employee data including location information. Ad-Blocking and Location Permission controls prevent the leakage of PII into the highly opaque environment.
We’re on a mission
We’re here to stop every existing and emerging threat to your mobile workforce and business. Explore our Use Cases to find out more about the powerful and proactive protection we provide.
Mobile Phishing
Shadow AI Governance and DLP
Spyware Detection
Device Trust
AiTM Protection
Vulnerability Management
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use case
Mobile Phishing
Every day employees face AI-powered social engineering attacks delivered as notifications, text messages, QR codes, social media posts and designed to harvest credentials, bypass MFA and steal authentication cookies.
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use case
Shadow AI Governance and DLP
With the rapid growth in Shadow AI the risk that sensitive data will be uploaded to unsafe applications has never been greater. Corrata provides the ability to monitor potential policy breaches and automatically intervene.
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use case
Spyware Detection
Defend against Pegasus, Coruna and DarkSword: sophisticated mobile exploits created by nation state actors, commercial vendors and increasingly accelerated and commoditised by AI and LLMs
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use case
Device Trust
It's critical that any device your employees use to access enterprise applications is secure. Having a robust way to achieve device trust for every employee is essential.
Device Trust -
use case
AiTM Protection
In today’s cloud centric world most enterprise data travels over networks which are fundamentally insecure. Corrata provides the protection you need to ensure that your data remains private.
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use case
Vulnerability Management
Good device security posture is critical to reducing risk. Corrata monitors the settings and activity on your employees’ devices, assessing their security status and prompting end users to remedy any issues found.
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