Artificial Intelligence and Machine Learning

After 4 months, is there any updates on Google search AI detection and how to practice a better protection method to prevent potential data breach with this interaction.  

I have a regex URL list that blocks ai mode in Chrome but I cannot get the AI Mode button in the search bar to block or disable.  I reached out to our CSM who said they in turned reached out the the product team.  It sounds like this is in the works already but we want to block before waiting for their update.  Does anyone have any thoughts on how to do this?  I identified where the  element is within Developer Tools but of course changing that from false to true is temporary.  Injection JavaScript is beyond my scope.  Looking for any help anyone might have.  Thank you.

Hi Community,I was wondering if we have an Advance Analytics Report/Dashboard to track the use of source codes. That is track the upload, Download or other activities of programme language codes. I have already tried to check for same in Netskope Library and in the Netskope dashboard gallery. 

We would like to define the UEBA policies for the group of users matching to the File count.Example, if the User group “A” has the threshold of deleting 5 files as a count & User group “B” has the threshold of deleting 10 files as a count.We have identified the Predefined UEBA policy “Bulk Delete”. however, we can’t use it for the different user group with different file count.Could it be possible to add template or the clone the predefined policies for the custom configuration? If we have use the UEBA custom policy, file count is not available which has activity as a condition.

Are there any Best Practice documentation with Witness.AI generatice ai compliance tool integration along side or working in tandum with Netskope? 

Netskope has been granted three new U.S. patents for its innovative approaches to IoT security and AI/ML based policy engines. Middle-ware artificial intelligence (AI) engine (US 12,166,776, Dec. 2024) Systems and methods for computing device association (US 12,137,389, Nov. 2024) Machine learning based policy engine preference for data access (US 12,126,655, Oct. 2024)These patents enhance Netskope's comprehensive intellectual property portfolio and solidify its competitive position in the industry. 

App connectors are a critical component of the Netskope secure access service edge (SASE) platform, offering visibility into user activities based on their interactions with cloud applications. These connectors monitor various types of user actions, such as uploads, downloads, and sharing events in apps like Google Drive and Box, by analyzing network traffic patterns. With this visibility, security administrators can then configure and enforce real-time policies to prevent malware, data theft and exfiltration.we’ve developed a patent-pending app activity monitoring system that leverages advanced machine learning algorithms to automatically identify significant anomalies in app event counts. Please read our latest blogpost for details: https://www.netskope.com/blog/proactive-app-connector-monitoring-with-machine-learning 

Netskope has been granted two new U.S. patents for its pioneering work in URL categorization and sensitive file classification, recognizing the company's innovative approaches to these critical areas. Specifically, the patents acknowledge Netskope's expertise in the following technologies:Machine learning-based URL categorization system with selection between more and less specific category labels (Patent number: 12,081,550) Training and configuration of DL stack to detect attempted exfiltration of sensitive screenshot-borne data (Patent number: 12,067,493) These patents enhance Netskope's comprehensive intellectual property portfolio and solidify its competitive position in the industry. 

We’re excited to invite you to our Netskope SkopeAI for GenAI Hands-On Lab. It provides a unique opportunity to learn how to detect new usage of GenAI apps such as ChatGPT, prevent sensitive data exposure using machine learning models, and further enhance your security posture using the Netskope One platform. The lab takes about 30 minutes to complete. Activate your lab today at https://www.netskope.com/company/events/introduction-to-skopeai-for-genai-hands-on-lab. 

Netskope has been granted not one, but two brand new patents in the world of AI/ML - our expertise and commitment to delivering cutting-edge security solutions with AI/ML are on full display!"ML-based encrypted file classification for identifying encrypted data movement," Patent Number 11,947,682 “Image matching using deep learning image fingerprinting models and embeddings,” Patent Number 11,983,955The latest additions bring our total number of US patents related to AI/ML technology to an impressive 30. And we're just getting started!

Netskope has been awarded a new US patent (Patent Number 11,983,955) for our innovative image matching technology, specifically designed for image fingerprinting and classification. In our latest blog post, we delve into this cutting-edge technology behind Train Your Own Classifier (TYOC). 

Learn how to balance the innovative potential of GenAI while protecting your business. When approached correctly, effective data security enables businesses to leverage tools like ChatGPT and Google Gemini for competitive advantage. Conversely, neglecting the need for data security can lead to catastrophic consequences for your business.Read this ebook to learn how your organization can balance the potential of these innovative tools with robust data security practices.  📚 Get actionable insights with Securing Generative AI for Dummies eBook 📚

Microsoft has enhanced Security Copilot by preinstalling a set of plugins for their security services and frequently used websites. Additionally, you have the option to incorporate Netskope custom plugins, expanding Gen AI capabilities on your Netskope platform.RequirementsEnsure you have an active Microsoft Security CoPilot account and are able to login to: https://securitycopilot.microsoft.com/ For more information on Security CoPilot please visit: Get started with Microsoft Security Copilot Early Access ProgramCreate a local yaml file called NetskopeCoPilotSkill.yaml (filename can be anything). And paste the below in your yaml file: Descriptor: Name: Netskope Reporting for Threat and Data Protection DisplayName: Netskope Reporting API endpoints Description: The API plugin offers 6 skills that range from displaying Netskope Alerts and Events for Threat Hunting and Data Protection. SupportedAuthTypes: - ApiKey Authorization: Type: APIKey Key: Netskope-api-token Loca

Will Netskope block some of the virtual assistants like Otter.AI. I am trying to stop anyone from joining a MS Teams meeting and launching something like Otter.AI, regardless of if they are on a corporate device or a personal device.  

Hello!  I wanted to know if there is an easy way to get a copy of all the technical support docs from Netskope. Including API docs (which are currently only available at the Netskope admin console level). My goal is to create a vector database and ultimately teach an AI Agent Netskope. For practical purposes I'd like to see the extent by which I can extend and embed a model with data and how that would stack up to some of our in house support. Apart from the public facing knowledge base I'm looking for more documents on troubleshooting client side issues. Maybe even some documentation on how to spot errors in Netskope Debug Logs, etc...  Thanks for any and all support!-Hax

In an era of escalating cyber threats and increasingly sophisticated attacks, organizations are facing an ever-growing challenge to safeguard their digital assets and sensitive information.Watch this demo with Netskope Chief Evangelist, Bob Gilbert, to hear how you can harness the power of AI/ML to strengthen your cybersecurity and defend against bad actors attempting to infiltrate your infrastructure.Demo Highlights:Learn how AI/ML is revolutionizing threat detection and data protection Discover cutting-edge AI/ML techniques for anomaly detection and behavior analysis See how artificial intelligence and machine learning are powering the future of data classification  

The conversation around AI/ML is everywhere, but it often leads to confusion and misconceptions. In the most recent episode of Netskope’s Security Visionaries podcast, we discussed the importance of AI transparency - a cornerstone for cultivating public trust and enabling individuals to make well-informed decisions about AI risks. We believe it's time for organizations to embrace openness and transparency about their AI models. For example, organizations should be prepared to answer: What's the data used to train a model? Does it include customer data? What inputs does the model rely on? What outputs does the model generate, and how are they used in the product? What are the limitations and accuracy of the model?   Let's work together to demystify the complex landscape of AI, fostering greater understanding and trust in this transformative technology.

According to Gartner, “ChatGPT and large language models are the early signs of how generative AI (GenAI) will shape many business processes. Security and risk management leaders, specifically CISOs, and their teams need to secure how their organization builds and consumes GenAI, and navigate its impacts on cybersecurity.”   In addition, Gartner says that “The level of hype, scale and speed of ChatGPT adoption has raised end-user awareness of LLMs, leading to uncontrolled uses of LLM applications. It has also opened the floodgates to business experiments and a wave of AI-based startups promising unique value propositions from new LLM and GenAI applications. Many business and IT project teams have already launched GenAI initiatives, or will start soon.”   CISOs and security teams need to prepare for impacts from GenAI in four different areas according to Gartner: “Defend with” GenAI “Attacked by” GenAI Secure enterprise initiatives to “build” GenAI applications Manage and mon

How does the Netskope capture the data of User like email or used I'd when I install the agent via email invite or the mass script based what's was the intelligence behind it also what protocols used between ns client and Netskope cloud gateway (POP) please let me know this answer 

I am proud to present to you the culmination of years of innovation and fruitful collaborations across multiple product teams at Netskope - the remarkable SkopeAI!SkopeAI stands as a testament to our commitment to excellence in the realm of AI-powered data security and threat protection solutions. We have harnessed the power of cutting-edge AI/ML technology to deliver industry-leading safeguards against modern-day security challenges.The launch of SkopeAI is not the end but rather a stepping stone in our AI journey. With an unwavering focus on staying at the forefront of AI and machine learning technology, we are determined to explore new frontiers, raise the bar higher, and enhance our security offerings.      

Today, I come to you seeking your valuable insights and suggestions on how we can enhance the security of our organization. Specifically, we aim to prevent users from uploading or sharing any source code through the platform Google Bard.To this end, we kindly request your expertise in brainstorming and proposing potential solutions to achieve our goal.In advance, I appreciate your help.

  At Netskope, we have developed a deep learning-based Inline Phishing Detection Engine. Similar to generative pre-training of large language models, such as BERT and ChatGPT/GPT-4, we use a large number of web pages to train a HTML encoder and then use it to build the phishing classifier. The Inline Phishing Detection Engine has been generally available to all Intelligent SSE and Netskope Next Gen-SWG customers. In this blog post, we share some of the patient-zero and evasive phishing examples that the engine has detected.   Have you seen any phishing pages detected by the Inline Phishing Detection Engine in your environment? Please let us know if you have any feedback.   

  In today’s rapidly digitizing world, the importance of data security has become paramount. With the increasing amount of sensitive information being shared and stored online, securing information from cyber attacks, information breaches, and theft has become a top priority for companies of all sizes. Data loss prevention (DLP) is a critical part of the Netskope Intelligent Security Service Edge (SSE) security platform, providing best-in-class data security to our customers.   Images often contain a wealth of valuable and sensitive data. Financial documents, personal identification, and confidential business communications frequently include images that require the utmost security. At Netskope, we have developed state-of-the-art deep learning-based computer vision classifiers that can analyze images and identify sensitive information in a wide variety of categories such as passports, drivers licenses, credit cards, and screenshots. We have been awarded four U.S. patents for

Join us on Linkedin Live on June 22 at 9:30am PDT to discuss how Generative AI SaaS applications, like ChatGPT, have revolutionized corporate workflows, but have also introduced significant data security risks.   Modern cloud-first businesses are grappling with unprecedented challenges as sensitive data becomes increasingly exposed to a new breed of applications. 📈 23% of employees access ChatGPT at least once a day, based on a recent Netskope study through Advanced Analytics, and this number is expected to grow rapidly. Join Netskope executive leaders for a lively discussion on: The sensational Generative AI phenomenon led by ChatGPT What Generative AI Apps can do: Endless possibilities How you can prevent data exposure, breaches and address compliance   Register Now 

Dear Netskope administrators, let me share an idea about using ChatGPT as your assistant. Netskope has many URL categories, and here's a prompt to have ChatGPT respond to what categories are available.   Fill in the "Search criteria" part of the following prompt with the category you want to investigate, and by inputting it into ChatGPT, it will pick up the corresponding category for you.　Prerequisites: GPT4 is available, and the WebPilot plugin is enabled.　*Please note that this is a simple investigation, so if you are actually going to apply it, please carefully review the help page and set it accordingly.   ---ChatGPT Prompt---You are a security engineer. You are trying to restrict access to a website on a category basis. Please follow the Steps to pick the appropriate candidate. #Reference URLhttps://docs.netskope.com/en/category-definitions.html #Search criteriaSites where credit card input is expected, such as financial or e-commerce sites. #StepPick up category candida