Check Point Unveils AI-Powered Security to Combat Data Leaks, Threats

Cybersecurity software provider Check Point Software Technologies has unveiled new additions to its solutions to protect users from evolving AI-led attacks.

At the Black Hat USA 2024 conference, Check Point showcased a new generative AI security solution designed to address risks when businesses adopt new AI applications.

The feature leverages generative AI to power data classification to prevent business data from leaking into applications such as language models.

Staff members leveraging generative AI applications, such as external chatbots like ChatGPT, can accidentally use company data in their prompts.

Once company information is entered, it becomes part of the application’s training data, potentially exposing secretive business data to the wider world.

This happened to Samsung after employees input sensitive company data into ChatGPT.

Check Point’s new feature is designed to prevent this by classifying conversational data within prompt input into generative AI applications, helping users prevent business data from being leaked into an application.

It can identify context in conversational prompts, meaning it can discern sensitive information and ensure that proprietary or confidential business data is not inadvertently exposed

The new generative AI security feature is available through Check Point’s Preview Program.

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At Black Hat Check Point also unveiled a new cloud service designed to prevent data loss.

The Harmony Endpoint Data Loss Prevention (DLP) service leverages generative AI to recognize more than 700 predefined data types to provide businesses with improved visibility and control of their data.

Users can also set custom data types and identify sensitive data within images.

The new Harmony Endpoint DLP service lets businesses apply copy/paste restrictions on staff and intuitively inspect any uploaded files.

Check Point also showcased new additions to ThreatCloud AI, part of its Infinity Platform.

ThreatCloud AI has been given new enhancements to identify highly complex attacks and threat campaigns.

It can now provide multidimensional assessments of cyberthreats through the new ThreatCloud Graph engine, providing users with information on emerging threats by seeing their relation to known malicious artifacts.

Another update to ThreatCloud is the new Deep Brand Clustering tool, which leverages deep learning to prevent brand spoofing phishing campaigns, where a bad actor poses as a well-known company or brand to trick victims.

It can also prevent communications that might contain malware by analyzing features that distinguish between the traffic patterns of malicious and benign websites.

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Check Point says the newly boosted ThreatCloud AI has a 99.8% malware catch rate.