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Geeky Gadgets
5 days ago
- Geeky Gadgets
The Truth about ChatGPT Agent : Game-Changer or a Glitchy Gimmick?
What if the tool you trusted to simplify your life ended up complicating it instead? That's the paradox many users are discovering with ChatGPT's much-anticipated AI Agent. Marketed as a innovative step in task automation, this feature promises to handle everything from deep research to booking your next vacation. Yet, behind the sleek branding lies a tool that's sparking heated debates. While some hail it as a glimpse into the future of AI, others are frustrated by its glitches, inefficiencies, and glaring security concerns. Is the AI Agent a new innovation or an overhyped experiment that's not quite ready for prime time? In this exploration, Skill Leap AI unpack the truth about ChatGPT's AI Agent—its potential, pitfalls, and the real-world implications of relying on it for complex tasks. You'll discover how it works, where it stumbles, and why it's raising eyebrows among both casual users and tech enthusiasts. From its ambitious claims of seamless automation to the frustrations of inconsistent outputs, this deep dive will help you decide whether the AI Agent is a tool worth embracing—or one to approach with caution. After all, the line between innovation and inconvenience is often thinner than it seems. AI Agent Limitations What Are AI Agents? AI Agents are sophisticated tools developed to handle complex, multi-step tasks that typically require human intervention. These tasks include conducting in-depth research, filling out forms, interacting with websites, and generating reports or presentations. By combining multiple functionalities into a single system, the AI Agent aims to reduce manual workload and improve overall efficiency. For example, it can audit your Google Calendar, book hotels, or create spreadsheets with minimal user input. However, despite its ambitious objectives, the AI Agent often struggles to deliver consistent results. Tasks that should be simplified by automation frequently encounter errors, delays, or incomplete outputs, leaving users questioning its reliability. While the concept of an all-in-one automation tool is appealing, the current execution leaves much to be desired. Performance Challenges One of the most significant drawbacks of the AI Agent is its inefficiency in performing tasks. Instead of simplifying workflows, the feature often complicates them. For instance, tasks like researching business formation processes or booking travel accommodations can take far longer than expected. Booking a hotel, for example, might require up to 25 minutes, with frequent interruptions caused by errors or extended processing times. Additionally, the outputs generated by the AI Agent are often poorly formatted or less effective compared to results achieved using standard ChatGPT tools. These performance issues undermine the feature's primary goal of saving time and effort. Users who expect seamless automation are often left frustrated by the tool's inability to meet basic expectations. OpenAI ChatGPT Agent Review Watch this video on YouTube. Take a look at other insightful guides from our broad collection that might capture your interest in AI Agents. Security Concerns Data security is another critical issue associated with the AI Agent. To perform certain tasks, the feature requires access to personal accounts and sensitive information, which introduces potential risks. The virtual browser setup, while innovative, comes with warnings about malicious websites, further eroding user trust. The lack of robust safeguards to protect sensitive data is a significant concern. Users are advised to exercise caution when granting permissions or sharing confidential information. Until stronger security measures are implemented, the AI Agent's reliance on personal data will remain a barrier to widespread adoption. Use Cases and Limitations The AI Agent demonstrates potential in specific scenarios, but its limitations are hard to ignore. Tasks such as creating presentations or auditing schedules can often be accomplished using existing ChatGPT features without the need for the agent mode. This redundancy raises questions about the feature's necessity for many users. Moreover, frequent errors and an underdeveloped interface detract from its usability. Instead of simplifying workflows, the AI Agent often introduces additional complications, leaving users feeling frustrated rather than empowered. While the tool has potential, its current state makes it difficult to justify its inclusion in high-tier subscription plans. User Experience and Usability The overall user experience is hindered by long processing times, frequent glitches, and inconsistent outputs. These issues make the AI Agent feel more like a beta test than a polished product. For a feature included in premium subscription plans, such as the $200/month option, users expect a seamless and efficient experience. Unfortunately, the AI Agent falls short of these expectations, leading to disappointment among early adopters. The lack of a user-friendly interface further compounds the problem. Navigating the AI Agent's features can be cumbersome, and the frequent need for manual intervention undermines its purpose as an automation tool. For many users, the time spent troubleshooting the AI Agent outweighs any potential benefits it might offer. Pricing and Value The AI Agent is available as part of ChatGPT's premium subscription plans, but its value proposition is questionable given its current limitations. Users paying for higher-tier plans anticipate significant improvements over standard tools. However, the AI Agent often underdelivers, making it difficult to justify the additional cost. Simpler and more reliable alternatives are readily available, further diminishing the appeal of the AI Agent. Until the feature undergoes significant improvements, its inclusion in premium plans may feel like an unnecessary expense for many users. Future Potential Despite its current shortcomings, the AI Agent holds promise as a tool for automating complex tasks. Developers have acknowledged the existing inefficiencies and security risks and are actively working to refine the technology. If these improvements materialize, the AI Agent could become a valuable asset for users seeking to streamline their workflows. However, as of now, the feature remains an overhyped tool that struggles to meet user expectations. For those considering the AI Agent, it is essential to weigh its potential benefits against its current limitations. While the concept is promising, the execution still requires significant refinement to deliver on its ambitious goals. Media Credit: Skill Leap AI Filed Under: AI, Top News Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
Yahoo
6 days ago
- Business
- Yahoo
Bull of the Day: CyberArk (CYBR)
CyberArk (CYBR) is a $19 billion provider of cybersecurity solutions to more than 5,400 global businesses, including over half of the Fortune 500 and over 35% of Global 2000 specializes in Privileged Access Management (PAM), which allows businesses to secure, manage, and monitor identities (human, machine, and now agentic) that have elevated or "privileged" access to critical systems and sensitive 2022 when I became a CYBR investor, my rationale has centered on two themes: (1) threat actors were becoming more sophisticated and well-funded to perform larger attacks on enterprises and (2) AI and other automation tools would multiply and accelerate their malicious efforts I'm excited to see CYBR finding more ways to use AI to their advantage in a never-ending war of threats. Here's what their 2025 report Identity Security Landscape had to say about the challenge..."Organizations now report that 72% of employees regularly use AI tools on the job -- yet 68% of respondents still lack identity security controls for these technologies. Machine identities now outnumber human identities by more than 80 to 1."Securing AI AgentsIn Q1 of 2025, CyberArk introduced its Secure AI Agents Solution to help organizations manage the privileged access of AI agents and secure their interactions across environments. The solution combined CyberArk's existing platform capabilities with AI-specific discovery, privilege controls, lifecycle management and the explosion of "agentic" AI this year -- where software programs with specific goals can act autonomously on your behalf to execute tasks -- the risks have soared in the identity security realms. AI agents can act like humans in their autonomy and like machines in their ability to scale, creating a unique security can communicate with other agents, access sensitive systems and even modify their behavior to complete complex tasks, making them a fast-growing security risk as organizations scale their use of AI. Millions of autonomous, unpredictable AI agents represent a new, rapidly expanding identity security attack solutions address this challenge by applying identity-first security principles, where it treats each AI agent like any other privileged, autonomous identity. The solution provides organizations with visibility into all AI agents, including known or shadow agents. It also enforces privilege control for secure access management and threat detection and Marketplace AI Agents and ToolsAgain from the CYBR Identity Security Landscape report..."In the race to adopt AI, organizations are also inadvertently creating a surge of unmanaged and unsecured machine identities that overburdened teams don't have the visibility to manage. The privileged access of AI agents represents an entirely new threat vector that existing security models aren't built to handle."On July 16, CyberArk expanded access to these its capabilities by making Secure Cloud Access MCP Server and Agent Guard available through Amazon Web Service ("AWS") Marketplace. Through these offerings, CyberArk aims to simplify the adoption and enforcement of Zero Standing Privileges across AI workflows, further strengthening CyberArk's platform can now use AWS Marketplace to easily discover, buy, and deploy AI agent solutions using their AWS accounts, accelerating agent and agentic workflow Growth Outlook BrightensWhile estimates did not rise in the past week since this announcement, I expect them to and we'll learn more at the company's Q2 earnings report on August 7. On July 14, Barclays raised their price target on CYBR shares to $ is projected to grow revenues this year by 32% to cross $1.3 billion. And profits are hopping too with an expected 26.4% advance to EPS of $3.83.A key driver of this growth is CyberArk's ability to carry out cross-selling synergies among its existing customer base. Existing customers are adopting more solutions from CyberArk's platform, which is helping grow subscription more enterprises adopt AI agents, CyberArk's early move into this space could create new cross-sell opportunities, making its platform even more critical for customers seeking identity security instance, A Fortune 100 financial services firm, which is a long-time CyberArk customer on the human identity side, expanded into certificate lifecycle management and Public Key Infrastructure (PKI) offerings with a competitive multi-six-figure Annual Contract Value (ACV) deal. I'm looking forward to the August 7 company report to learn I own shares of CYBR for the Zacks TAZR Trader portfolio. Want the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report CyberArk Software Ltd. (CYBR) : Free Stock Analysis Report This article originally published on Zacks Investment Research ( Zacks Investment Research
Zawya
22-07-2025
- Business
- Zawya
CyberArk announces availability of tools to secure AI agents in the new AWS Marketplace AI Agents and Tools category
Dubai, United Arab Emirates – CyberArk , the global leader in identity security, today announced that CyberArk Secure Cloud Access (SCA) MCP Server and CyberArk Agent Guard are now available in the new AWS Marketplace AI Agents and Tools category. Customers can now use AWS Marketplace to easily discover, buy, and deploy AI agent solutions using their AWS accounts, accelerating agent and agentic workflow development. Alongside the CyberArk Secure AI Agents solution, SCA MCP Server and Agent Guard support CyberArk's commitment to help enterprises secure the privileged access of AI agents and address the growing risk of uncontrolled AI adoption. These tools - offered as part of the CyberArk Identity Security Platform – enhance the security of agentic AI workflows by limiting credential exposure and enforcing tighter access controls. According to CyberArk research1, 68 percent of organizations lack identity security controls for AI. Security teams struggle to maintain visibility and control across complex multi-cloud environments without these controls. CyberArk SCA MCP Server is purpose-built to embed Zero Standing Privileges (ZSP) capabilities into native developer tools at speed and scale. It helps organizations secure access to cloud-native infrastructure, reducing risk from persistent standing entitlements, credential sprawl and unmanaged AI agents. CyberArk Agent Guard – also available as open source – enables developers to integrate AI agents securely with credential providers such as AWS Secrets Manager and CyberArk Secrets Manager. 'The promise of agentic AI can be undermined by inadequate security controls, which introduce risk and increase the likelihood of a breach,' said Peretz Regev, Chief Product Officer at CyberArk. 'With SCA MCP Server and Agent Guard, organizations can implement Zero Standing Privileges to maintain more secure and scalable AI-first operations, helping to stop excessive standing access, privileges and permissions from becoming scattered through cloud environments. By offering them through AWS Marketplace, organizations will have greater access to these critical tools.' Key benefits of CyberArk SCA MCP Server: Enforces Zero Standing Privileges across multi-cloud environments. Grants scoped access to AI assistants, such as Amazon Q and Anthropic's Claude, with robust audit trails and role-based access control (RBAC) enforcement. Enables developers to efficiently request secure AI assistant access directly from their integrated development environments (IDE) or command line interfaces (CLI). Implements least privilege controls for human and machine identities within CI/CD pipelines and agentic AI workflows. Key benefits of CyberArk Agent Guard: Monitors LLM and tool calls in real time. Generates intuitive graphs for advanced analysis. Logs tool inputs, arguments, and performance data for metadata capture. Ensures compatibility with multiple AI frameworks. Populates API keys and secrets as environment variables. Supports secret providers, including CyberArk Secrets Manager and AWS Secrets Manager. With the availability of AI Agents and Tools in AWS Marketplace, customers can significantly accelerate their procurement process to drive AI innovation, reducing the time needed for vendor evaluations and complex negotiations. With centralized purchasing using AWS accounts, customers maintain visibility and control over licensing, payments, and access through AWS. To learn more about SCA MCP Server in AWS Marketplace, visit To learn more about Agent Guard in AWS Marketplace, visit To learn more about the new Agents and Tools category in AWS Marketplace, visit Further information: Learn more and view a demo on CyberArk SCA MCP Server. 1According to the CyberArk 2025 Identity Security Landscape. About CyberArk CyberArk (NASDAQ: CYBR) is the global leader in identity security, trusted by organizations around the world to secure human and machine identities in the modern enterprise. CyberArk's AI-powered Identity Security Platform applies intelligent privilege controls to every identity with continuous threat prevention, detection and response across the identity lifecycle. With CyberArk, organizations can reduce operational and security risks by enabling zero trust and least privilege with complete visibility, empowering all users and identities, including workforce, IT, developers and machines, to securely access any resource, located anywhere, from everywhere. Learn more at
Yahoo
08-07-2025
- Business
- Yahoo
US High Growth Tech Stocks to Watch Now
As the U.S. market grapples with trade uncertainties and fluctuating indices, particularly the Dow Jones hovering near unchanged levels amid tariff discussions, investors are closely watching how these broader economic factors impact high-growth tech stocks. In such a volatile environment, identifying promising tech stocks involves looking at companies that demonstrate resilience and adaptability to navigate shifting trade policies and economic conditions. Name Revenue Growth Earnings Growth Growth Rating Super Micro Computer 24.71% 39.09% ★★★★★★ Circle Internet Group 32.27% 61.44% ★★★★★★ Ardelyx 21.16% 61.58% ★★★★★★ Mereo BioPharma Group 50.84% 58.22% ★★★★★★ TG Therapeutics 26.46% 38.75% ★★★★★★ AVITA Medical 27.42% 61.04% ★★★★★★ Alkami Technology 20.53% 76.67% ★★★★★★ Ascendis Pharma 35.07% 59.83% ★★★★★★ Alnylam Pharmaceuticals 23.86% 59.49% ★★★★★★ Lumentum Holdings 23.02% 103.97% ★★★★★★ Click here to see the full list of 226 stocks from our US High Growth Tech and AI Stocks screener. Underneath we present a selection of stocks filtered out by our screen. Simply Wall St Growth Rating: ★★★★☆☆ Overview: Five9, Inc. offers intelligent cloud software solutions for contact centers globally and has a market capitalization of approximately $2.11 billion. Operations: The company generates revenue primarily from its Internet Software & Services segment, amounting to $1.07 billion. The business focuses on providing cloud-based solutions for contact centers, serving both domestic and international markets. Despite recent turbulence, evidenced by its removal from several Russell indexes, Five9 demonstrates resilience and potential in the high-growth tech sector. With a forecasted annual earnings growth of 47.3% and revenue growth at 8.6%, the company is strategically positioning itself for profitability within three years. Notably, Five9's commitment to innovation is underscored by its R&D spending which remains robust, supporting initiatives like the newly launched AI Agents and AI Trust & Governance tools under its Agentic Experience Engine—aiming to revolutionize customer experience through advanced AI integration. This focus on developing cutting-edge technology not only enhances its service offerings but also aligns with industry shifts towards more dynamic, AI-driven business solutions. Click here to discover the nuances of Five9 with our detailed analytical health report. Gain insights into Five9's historical performance by reviewing our past performance report. Simply Wall St Growth Rating: ★★★★☆☆ Overview: BILL Holdings, Inc. offers a financial operations platform designed for small and midsize businesses globally, with a market capitalization of $4.97 billion. Operations: The company generates revenue primarily from its Software & Programming segment, which contributed $1.42 billion. The platform is tailored for small and midsize businesses worldwide, focusing on enhancing financial operations. Amidst a series of index drops, BILL Holdings has demonstrated resilience and adaptability in the high-growth tech landscape. The company recently unveiled its Supplier Payments Plus service, enhancing transaction efficiency for large suppliers—a move that underscores its commitment to innovation and streamlined B2B commerce. This strategic pivot not only addresses critical market needs but also complements BILL's robust annual revenue growth of 12.6% and earnings expansion at an impressive rate of 20.8% per year. Furthermore, with R&D expenditures consistently fueling advancements in payment solutions, BILL is well-positioned to maintain its competitive edge in the evolving digital payment sphere. Dive into the specifics of BILL Holdings here with our thorough health report. Understand BILL Holdings' track record by examining our Past report. Simply Wall St Growth Rating: ★★★★☆☆ Overview: Kyndryl Holdings, Inc. is a technology services company specializing in IT infrastructure services across the United States, Japan, and other international markets, with a market capitalization of approximately $10.05 billion. Operations: Kyndryl Holdings generates revenue primarily from its IT infrastructure services, with significant contributions from the United States ($3.88 billion) and Japan ($2.36 billion). The company also serves Principal Markets and Strategic Markets, contributing $5.21 billion and $3.62 billion respectively to its revenue streams. Kyndryl Holdings has recently been integrated into various Russell growth benchmarks, signaling its burgeoning presence in the tech sector. Despite a modest annual revenue growth of 2.9%, Kyndryl's earnings are expected to surge by 40.8% annually, outpacing the U.S. market average of 14.7%. This financial trajectory is bolstered by strategic alliances and innovations, such as its recent partnership with Commvault aimed at enhancing cyber resilience and regulatory compliance services for businesses globally. Moreover, Kyndryl's focus on integrating AI capabilities through collaborations with industry giants like AWS and Databricks exemplifies its commitment to driving digital transformation across diverse sectors. Click to explore a detailed breakdown of our findings in Kyndryl Holdings' health report. Assess Kyndryl Holdings' past performance with our detailed historical performance reports. Click this link to deep-dive into the 226 companies within our US High Growth Tech and AI Stocks screener. Hold shares in these firms? Setup your portfolio in Simply Wall St to seamlessly track your investments and receive personalized updates on your portfolio's performance. Maximize your investment potential with Simply Wall St, the comprehensive app that offers global market insights for free. Explore high-performing small cap companies that haven't yet garnered significant analyst attention. Fuel your portfolio with companies showing strong growth potential, backed by optimistic outlooks both from analysts and management. Find companies with promising cash flow potential yet trading below their fair value. This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned. Companies discussed in this article include FIVN BILL and KD. Have feedback on this article? Concerned about the content? with us directly. Alternatively, email editorial-team@
Yahoo
02-07-2025
- Business
- Yahoo
How AI Agents can transform banking operations: 3 principles for ‘endgame', not ‘game over'
AI Agents – a sophisticated type of software capable of planning, reasoning, and executing tasks independently – are fast becoming a serious consideration for banks looking to streamline operations and boost resilience. With organisations like the World Economic Forum (WEF) touting the transformational potential of Agentic AI, banking leaders must focus not only on the technology itself but getting it used effectively. Will AI Agents on balance displace banking jobs, or will they become integral to a new hybrid human-machine operating model? In other words, is it 'game over' for bankers or is this simply the 'endgame'? In the banking sector, where the cost of error is high and regulatory obligations are extensive, finding the answer hinges on more than just technological capability. Instead, it requires a clear understanding of how AI fits into existing systems, how it learns, and most crucially, how it understands the organisation it's deployed in. For AI Agents to be meaningfully integrated into core business operations, they need more than a generalised grasp of the world (what we might call a 'Public World Model'). Agents also require a 'Private World Model', a real-time, contextual understanding of the specific business environment they serve. This Private World Model is what enables AI to move beyond basic task automation and operate with the discretion, safety, and strategic alignment necessary for use in high-stakes settings like risk, compliance, or customer operations. Building it takes more than data. It takes a structured approach that brings business context into every layer of AI deployment. Banks seeking to move from early experimentation to strategic, at-scale adoption should follow these three key principles: For AI Agents to deliver value, they must be embedded into the operating model, not bolted on as isolated tools. That means defining their purpose, boundaries, and how they interact with human teams from the outset. In practice, this requires cross-functional alignment. That means bringing together risk, compliance, technology, and business operations to ensure governance is embedded and responsibilities are clearly allocated. It's about answering the operational questions before the technical ones. For example: What will the agent do? What decisions can it make? How will performance be measured? How will human oversight work? In highly regulated banking environments, this level of discipline is essential. Poorly integrated AI risks duplication, degradation of service quality, or worse, regulatory breaches and reputational harm. Successful AI programmes treat these issues as first-order design considerations, not afterthoughts. The temptation to adopt AI Agents quickly across the enterprise is understandable, but rarely effective. A more sustainable approach begins with well-defined use cases that offer a high return with manageable risk. One clear example is JPMorgan Chase's COiN (Contract Intelligence) platform, which uses AI to review commercial agreements. It reportedly cut error rates by 80% and freed up 360,000 hours of legal review time annually. This isn't a theoretical impact. It's measurable operational efficiency, delivered through structured implementation and ongoing oversight. Banks should look for similarly contained, repeatable tasks that are essential but burdensome. These create ideal environments for AI Agents to demonstrate value while allowing teams to build institutional knowledge and governance muscle before expanding into more complex areas. AI deployment is not a one-off exercise. As business needs change and regulatory frameworks evolve, AI Agents must adapt in parallel. That means embedding feedback loops and performance monitoring from day one. Unlike static software, AI systems learn from data, and that data changes. Ensuring AI Agents remain aligned with business strategy requires structured retraining, robust monitoring, and clearly defined escalation routes when things go wrong. Change management for the human workforce is equally important. As tasks evolve, new skills and new ways of working are needed. Supporting employees through this transition is critical to building trust in AI, ensuring adoption, and maintaining operational integrity. Retail banks must act now to embrace AI Agents before they become the industry standard, rather than a competitive edge. The prize is substantial for those who are first adopters: greater efficiency, faster decision-making, more consistent compliance, and more responsive customer operations. But the route to get there is not through a single piece of technology. It's through a deliberate strategy grounded in business context and operational clarity. By focusing on integration, strategic implementation, and continuous learning, banks can shift from seeing AI as a bolt-on and start treating it as a vital core capability. Rather than triggering 'game over' for bankers, AI's real potential lies in shaping a more agile, resilient and scalable workforce where humans and machines complement one another. That's an endgame worth striving for. David Bholat is Professional and Financial Services Director at Faculty "How AI Agents can transform banking operations: 3 principles for 'endgame', not 'game over'" was originally created and published by Retail Banker International, a GlobalData owned brand. The information on this site has been included in good faith for general informational purposes only. It is not intended to amount to advice on which you should rely, and we give no representation, warranty or guarantee, whether express or implied as to its accuracy or completeness. You must obtain professional or specialist advice before taking, or refraining from, any action on the basis of the content on our site.
