Tencent Cloud Unveils Comprehensive Data and Training Stack for Robotics and Autonomous Systems with TCLake XPhysis

CloudSEK, a company specializing in cybersecurity and AI-based threat intelligence and based in Bengaluru, has announced the launch of an incubation program called CloudSEK Launchpad. This program is designed for 12 weeks and is intended for early-stage startups in the field of cybersecurity.

The first cohort of the program will include ten companies, each of which can receive up to $5,000 in credits for using AI models. Applications are open until November 20, 2026.

According to an official statement, the program's focus is on product development and its commercial implementation, rather than solely on mentorship. Selected founders will receive weekly guidance from CloudSEK management on areas such as research, product development, enterprise sales, and fundraising. Additionally, they will gain access to CloudSEK's threat intelligence resources and researchers. The company will also introduce the founders to potential clients and channel partners in India, the Gulf Cooperation Council region, and the United States.

The program concludes with a demo day, during which founders present their projects to investors and potential customers.

Startups at the pre-seed and seed stages, as well as founders at the idea stage, can apply, provided they have a strong team and a clearly defined security problem. Areas of interest include AI system and agent security, native AI security operations, threat intelligence, fraud and identity prevention, and software supply chain security.

Rahul Sasi, founder and CEO of CloudSEK, noted: 'When we started CloudSEK, I wanted someone to show us the shortcuts—which clients to call first, what mistakes take years, and who to trust. Artificial intelligence has significantly simplified the creation of complex technology, but building a successful cybersecurity company still requires access to real threat intelligence, trusted clients, and the right industry network. With Launchpad, we want to share what we have learned and help promising founders reach their first ten paying customers.'

In addition to the Launchpad program, CloudSEK introduced KeyVigil—a secure gateway that allows applications and autonomous AI agents to access advanced AI models through a single entry point. It centrally manages primary API keys, masks sensitive data before it reaches the model, and detects and blocks prompt injection and hacking attempts. The system also logs interactions with models and allows organizations to set spending limits for teams, applications, and agents. KeyVigil is available to enterprise clients, and Launchpad participants will gain access to it through their credits.

The National Council of Educational Research and Training (NCERT) has prepared an introductory module for students from Class 9 to 12 under the provisions of the National Education Policy (NEP) 2020, focusing on Computational Thinking (CT) and Artificial Intelligence (AI).

Developed under the guidance of the Ministry of Education, Government of India, the main objective of this module is to provide secondary level students with a fundamental understanding of artificial intelligence and computational thinking. Students do not need prior knowledge of any specific subject to begin this course.

This module emphasizes developing crucial skills in students such as critical thinking, creativity, and problem-solving. Additionally, students will gain help in understanding how AI works, where and how it is applied in real life, as well as its potential limitations and possibilities.

This program is based on an experiential and activity-based learning methodology, which includes activities like discussions, practical exercises, experiments, and self-reflection. These activities can be conducted with or without the aid of digital tools, allowing students from schools with various resources and facilities to benefit from it.

The module defines computational thinking as a process of identifying problems and solving them in an organized manner. It will also help students develop a basic understanding of the growing role and practical applications of artificial intelligence in daily life.

Special attention has been given to the safe and responsible use of artificial intelligence in the module. It includes topics such as data privacy, misinformation, fairness, digital security, and critical verification of information generated by AI. The aim of this initiative is to teach students to check the truthfulness and reliability of content received from AI, rather than blindly trusting it.

Furthermore, it underscores the importance of human judgment, creativity, and ethical responsibility in technology-based education.

This module aligns with the priorities of the National Education Policy 2020, which centers on developing technological awareness and essential 21st-century skills in school students. NCERT aims to prepare students to understand emerging technologies, use them wisely, and responsibly face the challenges associated with them by integrating computational thinking, AI literacy, and ethical awareness.

This module is designed for students from Class 9 to 12, and its structure is kept such that it can be implemented in diverse educational environments, including schools with limited availability of digital devices.

OpenAI is extending its presence in the cloud sector by integrating its artificial intelligence (AI) models into the Google Cloud infrastructure, which increases the availability of its technologies for developers and corporations.

This new agreement establishes that the GPT-6 Astra, GPT-6.1 Sol, and GPT-6 Luna models will be available in the Google Cloud Model Garden catalog. This move marks another advancement by the creator of ChatGPT beyond the existing collaboration with Microsoft.

As announced this Wednesday (21), these models are being offered in preview phase to a specific group of enterprise clients. Furthermore, the integration will enable developers to use Google Cloud APIs and link local workflows, such as Codex CLI and Desktop, to the Gemini platform to perform inferences.

This partnership strengthens OpenAI's position among the largest cloud infrastructure providers. Previously, the company had signaled plans to place its models on Amazon Web Services (AWS) after the expiration of Microsoft's exclusivity period over its intellectual property.

Google Cloud will incorporate three OpenAI models into its Model Garden, a catalog that aggregates proprietary, third-party, and open-source offerings. The intention is to give companies the freedom to select the most appropriate technology for each need, considering metrics such as cost, performance, and response speed.

The released models are listed in the announcement. According to Google Cloud, the strategy aims to allow companies to switch between different models according to the requirement of each application, avoiding dependence on a single solution for all tasks. The catalog, which already contains over 200 models, will now offer access to the three main closed-source large language models on a single enterprise AI platform.

The collaboration also includes the commercial listing of OpenAI models on the Google Cloud Marketplace. This means that consumption will be unified in a single Google Cloud invoice, allowing expenses to be allocated to pre-existing cloud commitments or the platform's Flexible Savings Plans. The purpose is to simplify acquisition and allow companies to distribute their workloads across various models without the need for multiple contracts with different vendors.

Thomas Kurian, CEO of Google Cloud, stated in a release that the company's goal is to provide a wide range of models so that customers can choose the best option for each activity, prioritizing quality and cost reduction. Greg Brockman, president and co-founder of OpenAI, emphasized the relevance of this partnership in making the company's more advanced models and Codex accessible in the environments where customers already develop their applications.

The announcement also detailed the security and governance safeguards applicable to running OpenAI models on Google Cloud infrastructure. The company guarantees that customer data, including prompts, contexts, and results, will remain within the designated data perimeter and will not be used to train foundational models. Zero Data Retention (ZDR) options are scheduled to be implemented in the future.

OpenAI models will run on dedicated Google Cloud infrastructure. Additionally, future availability of confidential computing resources is anticipated. Traffic will be managed by isolated and protected gateways, while authenticated identity mechanisms, audit logs, and network security controls will allow administrators to monitor interactions with the models and AI agents. These guarantees constitute the conditions established by Google Cloud for the enterprise use of third-party models on its infrastructure.

Although the models are already available in preview version for selected enterprise clients, other integrations are planned. In the coming weeks, OpenAI models are expected to be integrated into Google Antigravity, Google's programming tool, and Gemini for Enterprise, expanding the scope of work for developers and organizations.

OpenAI and Google already had a prior business relationship; last year, the creator of ChatGPT used Google Cloud infrastructure to operate ChatGPT and its API. This expansion of the partnership occurs at a time of growth in Google's cloud business. In the second quarter, the annualized revenue growth of the segment reached approximately 82%, compared to 63% in the first quarter. Meanwhile, AWS registered 37% growth, and Microsoft showed a 42% expansion in the same period. The growing demand for custom chips and AI models boosted Google Cloud.

Founded in 2015, OpenAI emerged partly as an alternative to the concentration of AI research in companies like Google. In 2017, researchers from the organization published an academic paper on the Transformer architecture, fundamental to the advancement of the technology. Subsequently, OpenAI popularized generative AI with the launch of ChatGPT. Currently, the company is seeking investment with a valuation of US$ 1.4 trillion (approximately R$ 7.56 trillion) and plans to conduct an Initial Public Offering (IPO).

With the arrival of the models on Google Cloud, OpenAI diversifies its technological distribution channels, reaching corporate clients through the three major cloud infrastructure platforms.