<?xml version="1.0" encoding="UTF-8"?>
<feed xmlns="http://www.w3.org/2005/Atom"  xmlns:media="http://search.yahoo.com/mrss/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" xmlns:geo="http://www.w3.org/2003/01/geo/wgs84_pos#" xmlns:georss="http://www.georss.org/georss" xmlns:photo="http://www.pheed.com/pheed/">
 <title>Daily CSR</title>
 <subtitle><![CDATA[Daily CSR delivers latest news and in-depth coverage about corporate social responsibility, ethics and sustainability]]></subtitle>
 <link rel="alternate" type="text/html" href="https://www.dailycsr.com" />
 <link rel="self" type="text/xml" href="https://www.dailycsr.com/xml/atom.xml" />
 <id>https://www.dailycsr.com/</id>
 <updated>2026-06-14T15:25:30+02:00</updated>
 <generator uri="http://www.wmaker.net">Webzine Maker</generator>
  <icon>https://www.dailycsr.com/favicon.ico</icon>
  <entry>
   <title>Silverfort Strengthens AI Agent Security with Microsoft Integration</title>
   <updated>2026-06-12T16:40:00+02:00</updated>
   <id>https://www.dailycsr.com/Silverfort-Strengthens-AI-Agent-Security-with-Microsoft-Integration_a5868.html</id>
   <category term="Companies" />
   <photo:imgsrc>https://www.dailycsr.com/photo/art/imagette/96951597-67572590.jpg</photo:imgsrc>
   <published>2026-06-12T16:34:00+02:00</published>
   <author><name>Debashish Mukherjee</name></author>
   <content type="html">
    <![CDATA[
     <div style="position:relative; float:left; padding-right: 1ex;">
      <img src="https://www.dailycsr.com/photo/art/default/96951597-67572590.jpg?v=1781275226" alt="Silverfort Strengthens AI Agent Security with Microsoft Integration" title="Silverfort Strengthens AI Agent Security with Microsoft Integration" />
     </div>
     <div>
      <div style="text-align: justify;">Identity security provider Silverfort has announced a new integration that brings advanced identity protection capabilities to AI agents built within Microsoft Copilot Studio. The integration enables real-time identity security enforcement, allowing organizations to apply intelligent access controls exactly when an AI agent attempts to perform an action. Unauthorized requests can be blocked before execution, helping prevent security incidents before they occur. <br />   <br />  AI agents developed through Copilot Studio are capable of authenticating users, accessing enterprise data, initiating workflows, and interacting with systems across both cloud and on-premises environments. Since these activities are linked to human users with varying permission levels as well as multiple machine identities, they create complex authentication and authorization chains that can introduce security risks, including privilege escalation. <br />   <br />  According to Microsoft, more than 80% of Fortune 500 organizations are actively deploying AI agents created using low-code or no-code development platforms. Additionally, nearly 29% of employees are already utilizing unsanctioned AI agents in their daily work. While business teams increasingly adopt AI solutions through platforms such as Copilot Studio, responsibility for managing associated security risks remains with identity and security leaders. <br />   <br />  Ron Rasin, Chief Strategy Officer at Silverfort, emphasized that identity lies at the heart of AI security. He noted that AI agents become more capable as their access to enterprise resources expands, but without comprehensive identity intelligence, organizations cannot accurately determine whether an agent’s actions are legitimate or excessive. He added that Silverfort’s integration with Microsoft Copilot Studio highlights the importance of runtime identity enforcement as a critical requirement for secure AI deployment. <br />   <br />  <strong>Real-Time Access Control at Runtime</strong> <br />  Silverfort integrates directly with the Copilot Studio environment to provide access decisions in real time. Whenever an AI agent requests permission to use a tool, application, or function, Silverfort evaluates the request and issues an authorization decision before the action is carried out. This proactive approach helps organizations prevent unauthorized access, privilege misuse, and unintended actions before they impact business operations. <br />   <br />  Key capabilities of Silverfort’s runtime enforcement include:</div>    <ul>  	<li style="text-align: justify;">Preventing AI agents from obtaining permissions beyond their authorized scope.</li>  	<li style="text-align: justify;">Blocking suspicious or abnormal access attempts before execution.</li>  	<li style="text-align: justify;">Adjusting access policies dynamically based on current risk levels and contextual information.</li>  	<li style="text-align: justify;">Maintaining comprehensive audit records that link all activities to enterprise identity governance systems and the human user behind the agent.</li>  </ul>    <div style="text-align: justify;">Ankur Arora, Principal Group Product Manager at Microsoft, stated that the integration extends security controls directly to the point of access. Rather than providing visibility after an action has occurred, the solution evaluates and governs every access request in real time before execution. <br />   <br />  <strong>Unified Security Across Diverse AI Ecosystems</strong> <br />  Most enterprises operate multiple AI platforms rather than relying on a single agent framework. As a result, organizations often manage AI agents built with Copilot Studio alongside internally developed and third-party solutions, creating fragmented security oversight. <br />   <br />  Silverfort addresses this challenge by providing centralized visibility and identity-based controls across:</div>    <ul>  	<li style="text-align: justify;">AI agents created in Microsoft Copilot Studio</li>  	<li style="text-align: justify;">Human user identities</li>  	<li style="text-align: justify;">Non-human identities, including service accounts and machine accounts</li>  	<li style="text-align: justify;">External and third-party AI agents operating beyond the Microsoft ecosystem</li>  </ul>    <div style="text-align: justify;"><strong>Advancing Enterprise AI Security</strong> <br />  The Copilot Studio integration aligns with Silverfort’s broader vision of establishing identity as the primary security control layer for AI-driven enterprises. As a long-term Microsoft collaborator and former Microsoft Partner of the Year, the company continues to expand its capabilities for securing hybrid and cloud environments. Silverfort is also working closely with Microsoft on the development of additional AI-focused security innovations. <br />   <br />  As organizations transition from AI experimentation to large-scale operational deployment, identity management is becoming the critical mechanism that governs what AI agents are permitted to do. Silverfort supports this shift by delivering identity-based enforcement at enterprise scale, processing more than 10 billion authentication events every day across over 1,000 organizations worldwide, including several Fortune 50 enterprises. <br />   <br />  The company is also investing in AI security research, focusing on areas such as prompt injection detection and jailbreak prevention through recursive language modeling (RLM) and related technologies. By combining deep integration with Microsoft platforms, extensive identity telemetry, and ongoing AI security innovation, Silverfort aims to establish identity security as a cornerstone of the modern agentic enterprise. <br />   <br />  Click <a href="https://edge.prnewswire.com/c/link/?t=0&amp;l=en&amp;o=4704638-1&amp;h=1283516468&amp;u=https%3A%2F%2Fwww.silverfort.com%2Fplatform%2Fai-agent-security%2F&amp;a=https%3A%2F%2Fwww.silverfort.com%2Fplatform%2Fai-agent-security%2F">here</a> to know more.</div>  
     </div>
     <br style="clear:both;"/>
    ]]>
   </content>
   <link rel="alternate" href="https://www.dailycsr.com/Silverfort-Strengthens-AI-Agent-Security-with-Microsoft-Integration_a5868.html" />
  </entry>
  <entry>
   <title>AI in Software Testing: Generative &amp; Agentic AI for Smarter Automation</title>
   <updated>2025-02-27T14:21:00+01:00</updated>
   <id>https://www.dailycsr.com/AI-in-Software-Testing-Generative-Agentic-AI-for-Smarter-Automation_a4568.html</id>
   <category term="Companies" />
   <photo:imgsrc>https://www.dailycsr.com/photo/art/imagette/86835183-61703949.jpg</photo:imgsrc>
   <published>2025-02-27T14:19:00+01:00</published>
   <author><name>Debashish Mukherjee</name></author>
   <content type="html">
    <![CDATA[
     <div style="position:relative; text-align : center; padding-bottom: 1em;">
      <img src="https://www.dailycsr.com/photo/art/default/86835183-61703949.jpg?v=1740663815" alt="AI in Software Testing: Generative &amp; Agentic AI for Smarter Automation" title="AI in Software Testing: Generative &amp; Agentic AI for Smarter Automation" />
     </div>
     <div>
      <div style="text-align: justify;"><strong>The Ever-Changing World of AI in Software Testing</strong> <br />  Everywhere you turn, artificial intelligence (AI) is the hot topic of discussion. It’s no surprise that some people are growing tired of the AI buzz. For skeptics, AI seems more like an overhyped spreadsheet than a genuine leap in cognitive technology. <br />   <br />  Just when you think you’ve grasped the latest advancements, a new term emerges. First, there was basic machine learning and AI, then Generative AI took center stage, and now Agentic AI is the newest trend. If you feel like you're always trying to catch up, you’re not alone. <br />   <br />  Love it or hate it, AI is here to stay. In fact, some modern AI tools can think, create, and learn—just like Keysight’s Eggplant Intelligence. <br />   <br />  <strong>The Thinking, Creating, and Learning Framework</strong> <br />  To make AI easier to understand, it can be broken down into three primary functions:</div>    <ul>  	<li style="text-align: justify;">Thinking: This refers to decision-making and adaptability, similar to Agentic AI, which allows AI to analyze real-time data and make choices accordingly.</li>  	<li style="text-align: justify;">Creating: Linked to Generative AI, this function enables AI to autonomously develop test cases and simulate user interactions.</li>  	<li style="text-align: justify;">Learning: Rooted in traditional machine learning, originally theorized by Alan Turing in 1950, this function enables AI to improve its accuracy and efficiency over time based on past data.</li>  </ul>    <div style="text-align: justify;">But how do these AI types differ? What role do they play in software testing? And should you care? The short answer: Yes, they’re significantly different, they have a huge impact, and understanding them is essential. <br />   <br />  Before diving into these concepts, let’s explore how AI in software testing has evolved. <br />   <br />  <strong>The Origins of AI in Software Testing – Keysight Eggplant’s Legacy</strong> <br />  The idea of machines exhibiting intelligence and learning like humans dates back to a 1947 lecture by Alan Turing. Since then, AI has come a long way. In 2018, Keysight Eggplant revolutionized the field by integrating AI into its Digital Automation Intelligence (DAI) platform, now known as Eggplant Test. This advancement transformed software testing by enabling:</div>    <ul>  	<li style="text-align: justify;">Comprehensive test coverage: Machine learning algorithms analyze applications, detect every possible user journey, and automatically generate test cases, reducing manual effort.</li>  	<li style="text-align: justify;">Smart test prioritization: AI learns from previous test runs and code changes, identifying high-risk areas to optimize testing time and resources.</li>  	<li style="text-align: justify;">Anomaly detection: AI monitors system behavior, spots deviations, and flags potential defects early in development.</li>  	<li style="text-align: justify;">Adaptive test scripts: Automated scripts adjust dynamically to application updates, reducing maintenance and enhancing test stability.</li>  </ul>    <div style="text-align: justify;">This is far beyond standard test automation. Imagine modifying a payment gateway on an eCommerce platform—Eggplant automatically generates new test cases, eliminating the need for hours of manual script adjustments. That’s the power of intelligent automation. <br />   <br />  But AI’s role in software testing extends beyond executing test cases. Eggplant Test has also pioneered image-based testing, optical character recognition (OCR), and computer vision, crucial for automating graphical user interface (GUI) testing in highly secure environments. <br />   <br />  <strong>Generative AI – Automating Test Case Creation</strong> <br />  Generative AI, which falls under the "Creating" category, focuses on understanding and generating human-like language through natural language processing (NLP) and large language models (LLMs). <br />   <br />  This technology can automate test case creation, reducing manual effort while improving accuracy. However, Keysight takes it a step further—once launched, its Generative AI will generate test case frameworks directly from software requirement documents, allowing testers to refine them instead of building from scratch. <br />   <br />  Security is a top priority. When Eggplant Test integrates Generative AI, it will operate with secure, offline, and technology-agnostic LLMs, ensuring sensitive data stays protected. Unlike cloud-based solutions, Eggplant's on-premises AI model guarantees data privacy and regulatory compliance. <br />   <br />  Cloud-based AI tools that rely on platforms like ChatGPT pose risks, including "shadow prompting," where unmonitored inputs can generate inaccurate results. While prompt engineering can help mitigate this, an on-premises AI solution eliminates the risk entirely. <br />   <br />  <strong>Agentic AI – The Next Frontier in Software Testing</strong> <br />  Agentic AI, the "Thinking" component of the framework, introduces intelligent agents capable of autonomously designing, executing, and optimizing test cases. It leverages chain-of-thought reasoning, a method that stacks multiple commands to handle complex tasks, ensuring every potential user interaction is covered. <br />   <br />  One key breakthrough is computer use agents (CUAs), including large action models (LAMs), which automate browser-based processes by interacting with web applications as human testers would. This is crucial for comprehensive end-to-end testing across different devices and browsers. <br />   <br />  Another advancement is large vision models (LLaVA), which extend traditional computer vision capabilities to interpret and validate visual elements in applications, ensuring UI accuracy. <br />   <br />  If this sounds familiar, it’s because Eggplant Intelligence already integrates AI, Generative AI, and Agentic AI into a unified platform. By optimizing test coverage, automating interactions, and executing tests like a human, Eggplant ensures compliance with AI governance laws in the UK, EU, and US—all while operating offline. <br />   <br />  <strong>AI Testing Compliance – Why Security Matters</strong> <br />  Many cloud-based AI testing tools fail to comply with strict regulations such as the EU AI Act. Industries like aerospace, defense, and healthcare demand high-security standards, making cloud solutions a liability due to data privacy risks. <br />   <br />  Keysight Eggplant is the only AI-powered testing platform that prioritizes security, transparency, and governance. Its on-premises approach ensures data remains within secure firewalls, meeting even the most stringent compliance requirements. <br />   <br />  Using cloud-based AI for test script generation or reporting isn't just risky—it’s illegal in many jurisdictions. GDPR and other data protection laws prohibit storing customer data outside secure networks, making cloud-based AI tools a non-compliant option for many organizations. <br />  The Future of AI in Software Testing <br />   <br />  AI in software testing isn’t just about keeping up with the latest trends—it’s about making strategic, future-proof choices that balance innovation, security, and compliance. <br />   <br />  Keysight Eggplant has been at the forefront of AI-driven testing since 2017, long before many of today’s players entered the field. As AI evolves, Eggplant continues to lead the way, ensuring its platform remains the gold standard in secure, AI-powered software testing. <br />   <br />  So, if you’re serious about automated testing and need an AI-driven solution that prioritizes security, compliance, and flexibility, it’s time to explore what Keysight Eggplant has to offer. <br />   <br />  Click <a class="link" href="https://www.keysight.com/gb/en/contact/eggplant/trial.html">here</a>  to start a 14-day free trial.</div>  
     </div>
     <br style="clear:both;"/>
    ]]>
   </content>
   <link rel="alternate" href="https://www.dailycsr.com/AI-in-Software-Testing-Generative-Agentic-AI-for-Smarter-Automation_a4568.html" />
  </entry>
</feed>
