April 27, 2025 • By MarketBeat News

Progress Software (NASDAQ:PRGS) saw unusual options trading activity on Friday, with 2,325 call options purchased, a 304% increase from the typical volume. CFO Anthony Folger and insider Ian Pitt sold shares in recent transactions. Several hedge funds have bought and sold shares of the stock. The company reported quarterly earnings of $1.31 per share, beating estimates, with revenue up 28.9% year-over-year. Progress Software develops and manages business applications, offering various software products. The company has a market capitalization of $2.54 billion and a 52-week low of $48.00.

April 26, 2025 • By MarketBeat News

According to MarketBeat's stock screener tool, 7 Artificial Intelligence (AI) stocks to watch are ServiceNow, Salesforce, Super Micro Computer, Accenture, Arista Networks, QUALCOMM, and Snowflake. These companies have the highest dollar trading volume in AI stocks. ServiceNow provides workflow automation platform solutions, with a market capitalization of $193.51 billion. Salesforce offers Customer Relationship Management technology, with a market capitalization of $252.25 billion. Super Micro Computer develops high-performance server solutions, with a market capitalization of $20.50 billion. Accenture provides professional services, including strategy, consulting, and technology services, with a market capitalization of $181.84 billion. Arista Networks develops data-driven networking solutions, with a market capitalization of $93.86 billion. QUALCOMM engages in the development of foundational technologies for the wireless industry, with a market capitalization of $161.93 billion. Snowflake provides a cloud-based data platform, with a market capitalization of $51.11 billion. All of these stocks traded up on Thursday, with significant trading volumes.

April 26, 2025 • By MarketBeat News

Seven metaverse stocks to watch are NVIDIA, Accenture, Globant, SK Telecom, Xiao-I, Everbright Digital, and NIP Group. These companies have high dollar trading volumes and are involved in building, operating, or supplying virtual, immersive digital environments. NVIDIA provides graphics and compute solutions, while Accenture offers strategy and consulting services, including metaverse and sustainability services. Globant provides technology services, including digital solutions and enterprise technology solutions. SK Telecom offers wireless telecommunication services, including metaverse platform-based services. Xiao-I provides software services, including conversational AI and hyperautomation platforms. Everbright Digital is an integrated marketing solutions provider involved in the metaverse, and NIP Group is a leading esports organization with a global footprint. These stocks have shown significant trading activity, with NVIDIA's stock trading up $3.39 to $106.10, Accenture's stock trading up $2.43 to $290.59, and Globant's stock trading up $5.74 to $117.98. SK Telecom's stock traded up $0.11 to $22.79, while Xiao-I's stock traded down $0.09 to $3.31, Everbright Digital's stock traded down $0.01 to $3.89, and NIP Group's stock traded down $0.04 to $1.80.

April 26, 2025 • By BeauHD

Programmers using open-source forks of Microsoft's VS Code, such as VS Codium, noticed the C/C++ extension stopped working. The issue arose because Microsoft now enforces restrictions on the extension, which was never open-source, to only work with the official VS Code. The extension's terms of service always stated it was only supported on VS Code, but this was not previously enforced. Some argue this is not a "rug pull" since the limitations were clearly stated, while others criticize Microsoft for changing the operating environment without permission. The incident highlights the risks of relying on proprietary components in open-source projects.

April 25, 2025 • By Ryan Gibson

The rapid advancement of artificial intelligence, particularly in generative models and multi-agent systems, is transforming the conversation around autonomous AI agents. Recent breakthroughs have brought the vision of general-purpose AI closer to reality for enterprise developers, architects, and decision-makers. AI agents are autonomous software entities that can perceive their environment, reason over complex goals, and interact with humans, APIs, and data to achieve results. These agents can plan, delegate sub-tasks, collaborate with other agents, and adapt via feedback loops. They leverage powerful language models, specialized tools, and orchestrators to handle unstructured tasks spanning multiple systems. Enterprise knowledge workers can deploy agents to autonomously consolidate, reason over, and answer questions using both private and public data. Gartner predicts that by 2026, 30% of major enterprises will have at least one AI-augmented agent orchestrating cross-functional workflows. AI agents are moving beyond code suggestion to autonomously handling repetitive developer tasks, such as triaging bugs, writing CI/CD scripts, and converting legacy code. The logical endpoint of agent evolution is an "autonomous enterprise," where AI agents own and operate entire business units or vertical functions. However, this vision requires advances in lifelong learning, causal inference, and agent-customer co-evolution. Emerging research into explainable AI, formal verification, and "AI governance layers" is tackling this dimension for production deployments. Enterprises face challenges in building agents that can discover, map, and securely interface with heterogeneous tech stacks. Standardization efforts and techniques such as on-premise LLM deployment, granular access controls, and federated learning are required for regulated industries. To measure agent effectiveness, potential drift, security risks, and user satisfaction, new metrics and agent observability platforms are emerging. Despite ambitious visions of autonomy, most enterprises will embrace "Centaur" architectures, with humans delegating goals but maintaining veto power and review steps. Executive buy-in is crucial, and building agent-first organizations demands cross-functional collaboration between IT, security, operations, and business lines. Skillset shifts, experimentation, and governance are necessary for successful agent adoption. Enterprises that thoughtfully embrace agent-based paradigms will thrive in the new era, with advancements in LLMs, orchestration, and integration enabling them to dramatically boost efficiency, accuracy, and responsiveness.

April 25, 2025 • By Expert Panel®, Forbes Councils Member, Expert Panel®, Forbes Councils Member https://www.forbes.com/councils/forbestechcouncil/people/expertpanel/

The article discusses 19 emerging trends in container management, as shared by members of the Forbes Technology Council. These trends aim to optimize the speed, scalability, and stability of essential software. Some key trends include: 1. Increased automation and security management 2. Serverless containers for scalable AI deployments 3. Enhanced collaboration and operational efficiency 4. The rise of eBPF for container observability and security 5. Kubernetes-native security for improved container security 6. Using small base images for better performance and security 7. Adoption of Kubernetes-based service meshes like Istio 8. Ephemeral containers with AI-driven orchestration 9. Decentralized or Distributed Application Bundles (DABs) for standardizing cloud-native applications 10. AI-driven autonomous scaling for dynamic workload adjustment 11. Outcome-based container execution for reduced resource waste 12. Detection, investigation, and remediation of Kubernetes drift 13. WebAssembly (Wasm) for lightweight and secure containerization 14. Confidential containers with Trusted Execution Environments (TEEs) for encrypted workloads 15. GitOps for automated container deployments 16. Cloud-based containers with infrastructure as code (IaC) for reduced OpEx costs and improved security 17. Edge-native container orchestration for optimized real-time data handling 18. Unified hybrid cloud experiences for efficient container management 19. Composable Kubernetes architectures for optimized resource allocation and multicloud deployments. These trends can help businesses improve the performance, security, and flexibility of their container management systems.

April 25, 2025 • By Katherine Bhambra, Senior Content Designer, GDS

The UK's Department of Environment, Food and Rural Affairs (DEFRA) has developed a Core Delivery Platform (CDP) to improve digital service delivery. The CDP is a platform-based approach that allows project teams to focus on business and public value, rather than repetitive infrastructure building. It provides a set of common patterns and tools to ensure adherence to development standards, and enables self-service and on-demand deployments. The CDP has already shown improvement in deployment frequency, release time, and service failure recovery, with daily or hourly deployments, and reduced release times from months to hours. The platform is expected to increase speed and reliability, and provide greater autonomy for teams working on digital services across government departments.

April 25, 2025 • By Lee Gaines

The article "When /etc/h*sts Breaks Your Substack Editor: An Adventure in Web Content Filtering" by Lee Gaines discusses an issue encountered while writing a technical post about DNS resolution on Substack. The Substack editor displayed a "Network Error" and failed to autosave the draft whenever the path to the hosts file (/etc/h*sts) was typed. After investigation, it was found that the editor was making PUT requests to Substack's API to save the draft, but when the content contained certain system paths, the request received a 403 Forbidden response. The response headers showed that Cloudflare was involved, indicating a Web Application Firewall (WAF) was in action. The WAF was likely blocking the paths to prevent common attacks such as path traversal and command injection. However, this filtering behavior created a frustrating obstacle for technical writers discussing system configurations. The article suggests that Substack could improve this situation by implementing contextual filtering, providing clear error messages, and documenting workarounds for technical writers. The issue highlights the complex challenges of building secure platforms that serve technical writers, where security measures can sometimes have unintended consequences for legitimate use cases. The author will continue using workarounds like "/etc/h*sts" (with quotes) or alternative spellings when discussing system paths in their Substack posts.

April 25, 2025 • By Andres Zunino, Forbes Councils Member, Andres Zunino, Forbes Councils Member https://www.forbes.com/councils/forbestechcouncil/people/andreszunino/

The article discusses the security concerns associated with Generative AI (GenAI) technology in enterprise applications. GenAI has revolutionized software development, offering benefits such as faster development timelines and reduced technical debt. However, it also introduces security risks, as AI systems may lack security awareness and produce code with vulnerabilities. The main security concerns include: 1. Limited transparency of AI systems, creating potential security gaps. 2. Biases in training data, introducing discriminatory patterns into critical applications. 3. Security flaws in AI-generated code, such as improper input validation and SQL injection points. 4. Data leakage, reproducing proprietary algorithms or violating licensing agreements. 5. Reduced explainability of AI-generated solutions, making security assessments challenging. To address these vulnerabilities, organizations should develop a strategic framework for GenAI code safety, leveraging both technological solutions and human expertise. This includes: 1. Code scanning tools and human code reviews. 2. Rigorous testing, including AI-specific penetration tests. 3. Sandboxing to isolate code until validated. 4. Governance frameworks to define standards. 5. Continuous monitoring to ensure rapid threat response. By prioritizing code safety alongside innovation, organizations can mitigate risks and maximize the long-term value of GenAI. Comprehensive security measures can deliver business value through cost reduction, faster development, increased innovation, and market differentiation.