LLM based secure cloud access is Dope Security

Sometimes, technology moves faster than legacy tech companies can keep up with. We’re seeing this now in two areas, with genetic AI dominating almost every non-cyber security conversation – both on the minds of enterprise CIOs.

Traditional enterprise software companies leverage large language models to attack simple conceptual problems. Cybersecurity vendors, for example, use AI’s natural language capabilities to better understand alert and observability data by writing and executing complex queries using LLM.

At the same time, the cybersecurity landscape is evolving at an almost limitless pace. The days of signature-based malware detection are disappearing. for example, using regular expressions and pattern matching for cloud access security can limit the effectiveness of a CASB tool. Innovation in bringing new approaches to these problems to market is emerging from a new generation of cybersecurity startups.

One of these innovative cybersecurity companies is dope.security, which continues to demonstrate an impressive level of innovation in harnessing the power of artificial intelligence to address critical access management challenges.

Dope forayed into the secure web portal space for the first time, bringing their unique approach to SWG. Unlike many traditional SWGs that rely on standard threat detection technologies, dope.security’s SWG incorporates deep learning artificial intelligence to improve threat detection accuracy and reduce false positives. Its AI-based approach enables a more nuanced understanding of web content and user behavior, allowing for more precise filtering and security measures.

Now dope is expanding its scope by introducing a new solution that uses LLM to deliver an innovative cloud access security mediation tool that enhances the security and management of SaaS applications.

Use LLM for CASB

CASB Neural is an advanced CASB tool that leverages deep learning artificial intelligence to improve the security and management of SaaS applications to provide a more intuitive and efficient solution for identifying and managing publicly exposed data in cloud services such as Microsoft 365 and Google Workspace.

Traditional CASB solutions often rely on rule-based systems, such as regular expressions and pattern matching, to identify sensitive data. These systems rely heavily on manually configured rules, which can be both complex and prone to generating false positives.

Instead, Dope’s solution uses LLM to analyze and understand the content of files stored and shared through SaaS platforms. This AI-based approach allows CASB Neural to identify and classify sensitive data with greater accuracy and significantly fewer false positives. This results in more accurate identification of sensitive information such as personally identifiable information, payment card information, protected health information and intellectual property.

The new tool identifies sensitive data and provides clear, human-readable summaries of documents. This feature, called Dopamine, helps administrators understand the context and content of exposed data, enabling them to make informed decisions about how to manage and protect it. Remedial actions such as revoking file sharing permissions can be performed directly from the tool with a single click.

CASB Neural automatically scans the organization’s SaaS tenant for public file shares and continuously monitors for any changes in file sharing activities. This ensures that any new data exposure is quickly identified and addressed.

CASB Neural does not rely on scheduled scans, but uses webhook notifications to continuously update itself with any new or modified data sharing, ensuring real-time protection and compliance.

Download analysts

Dope.security’s new CASB Neural is a major advance in cloud security technology, the first driver in an industry-wide shift away from traditional CASB solutions to more user-friendly AI-based tools.

Replacing the traditional reliance on pattern- and rule-based matching systems, which are often cumbersome and error-prone, with an approach based on large language models gives dope’s new tool a fine-grained understanding of the content of shared files. This feature improves the accuracy of detecting sensitive data and significantly reduces the incidence of false positives.

Dope faces challenges. The CASB market is highly competitive, with the drug competing against offerings such as Microsoft Defender, Netskope, and Palo Alto Networks’ Next-Gen CASB. None of these solutions, however, demonstrate the same level of innovation and speed of development as the drug. While cybersecurity buyers may appear conservative, they are also engaged in constant battles with bad actors and are choosing problem-solving technologies over brands.

Dope.security offers something special with the new CASB Neural. It’s not just an incremental improvement in cloud security – it’s a proactive solution that addresses the current and emerging needs of cloud-dependent organizations. It promises to improve security efficiency while greatly simplifying the user experience. It’s a solution that is likely to attract significant attention from businesses that prioritize security and operational efficiency in their SaaS deployments.