Canva has introduced a groundbreaking feature allowing users to create and manage designs directly through Anthropic’s Claude AI chatbot. This integration enables users to describe their design needs—such as presentations or image resizing—using everyday language within the Claude chat window, eliminating the need to switch to the Canva website or app. A paid Canva account (starting at $15/month) and a Claude Pro account ($17/month) are required to access this feature, which utilizes the Model Context Protocol (MCP) for secure interaction. Claude’s capabilities extend beyond basic design; it can search Canva Docs, find content by keywords, and summarize documents in chat. This integration illustrates a shift toward AI-driven workflows, enhancing productivity and creativity without the hassle of juggling multiple tools. Claude is the first AI assistant fully supporting Canva, and its integration is seen as a significant step toward making design more accessible. Explore the future of AI-rich design now!

Source link

Perplexity’s CEO recently highlighted the transformative impact of AI coding tools on application development, claiming they can reduce work time from “four days to literally one hour.” This groundbreaking technology revolutionizes the software development lifecycle, streamlining coding processes and enhancing productivity. By automating repetitive tasks, these AI solutions allow developers to focus on more complex problem-solving tasks, ultimately accelerating project timelines. The surge in AI-driven coding tools signifies a significant shift in the tech landscape, driving efficiency and innovation. As businesses increasingly adopt these tools, the demand for skilled professionals who can leverage AI technology continues to grow, leading to a transformative era in coding practices. This evolution not only optimizes workflows but also fosters the creation of more sophisticated applications, making AI a pivotal player in shaping the future of software development. Embracing these advancements will be crucial for organizations aiming to stay competitive in a rapidly evolving digital landscape.

Source link

Google’s Gemini AI, integrated into Workspace, has been identified as vulnerable to hidden instructions in emails, allowing attackers to generate fake system warnings without links or attachments. Security researcher Marco Figueroa showcased this technique, which involves embedding invisible HTML and CSS instructions in the email body to manipulate Gemini’s responses. This allows scammers to craft deceptive alerts, like a Gmail password leak notification, that users trust as legitimate. The lack of visible indicators makes such phishing attacks particularly insidious. To mitigate these risks, Figueroa recommends filtering out hidden text, analyzing AI-generated responses for alarming content, and flagging suspicious messages. Google has acknowledged the vulnerability and is working on protective measures, although no real-world attacks using this method have been reported. This incident underscores ongoing concerns about prompt injection vulnerabilities in AI models and highlights the need for enhanced security in user interactions with AI applications.

Source link

AI Platforms Security Risks

Organizations often mistakenly assume that data entered into Generative AI (GenAI) tools is secure. Unless using licensed enterprise versions with clear data governance agreements, sensitive information may be retained, analyzed for improvements, or shared across sessions. Public GenAI tools generally lack critical certifications such as SOC 2, HIPAA, or FedRAMP, leaving data security unclear. HR departments, managing sensitive data like health records and employee compensation, are particularly vulnerable due to inadequate training in data security.

To mitigate risks, organizations must adopt robust governance strategies. This includes establishing clear acceptable use policies, providing secure enterprise AI platforms with access controls, and disabling data logging features by default. Enhanced insider threat models should incorporate monitoring for unusual behaviors related to GenAI tool usage. Continuous training tailored to high-usage departments will ensure employees understand the risk implications. The shift from traditional security measures to a more comprehensive approach is essential to protect against potential data breaches and maintain corporate integrity.

Source link

In today’s dynamic trading landscape, the Longbridge app harnesses AI to empower retail investors with advanced analytics and real-time market insights. This innovative platform simplifies stock valuation assessments by summarizing company developments, enabling users to grasp price movements quickly. Longbridge enhances user experience with features like Supply Chain Mapping, connecting stock performance to broader industry trends. For advanced users, the integrated OpenAPI allows seamless exploration of trading strategies via natural language, eliminating the need for coding skills. Currently offering access to over 32,000 financial instruments across major markets, Longbridge remains dedicated to making investing approachable and educational. With zero lifetime commissions for trading US, Hong Kong, and Singapore stocks, and additional incentives for new accounts, Longbridge positions itself as a leading fintech brokerage. The app aims to demystify investing, equipping users with the tools they need for informed decision-making and financial confidence.

Source link