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IBM Champions Generative AI and Automation to Safeguard Security Across AWS Environments By Investing.com
IBM (NYSE:IBM)'s Autonomous Security for Cloud solution to help organizations transition to cloud-based environments using Amazon (NASDAQ:AMZN) Bedrock's generative artificial intelligence (AI) to streamline and automate security and compliance tasks , /PRNewswire/ -- IBM (NYSE: IBM) today announced Autonomous Security for Cloud (ASC), an AI-powered solution from IBM Consulting designed to automate cloud security management and decision-making to help mitigate risk for organizations accelerating their cloud journey on Amazon Web Services (AWS) environments. Highlighted in IBM's 2024 Cloud Threat Landscape report, misconfigurations and compliance failures were identified as the top threats organizations face as they increasingly rely on cloud computing environments. Yet, in a technology landscape where security is non-negotiable, maintaining compliance and security can be complex, especially in highly regulated industries such as financial services, manufacturing and the public sector where legacy, labor-intensive compliance processes can be slow to evolve to rapidly changing cloud infrastructures and the strict regulatory standards required to protect data. For organizations focused on cloud-based architectures, security management requires robust and specific policies and configurations to mitigate potential risks. To address those needs, IBM's ASC solution will leverage Amazon Bedrock generative AI technology to automate, evolve and enforce client-chosen security controls quickly. "Insights from theCUBE Research shows that 96% of organizations continue to embrace cloud transformation, which intensifies the challenge of managing and securing data," said , Chief Analyst and co-founder of theCUBE Research. "Generative AI-driven automation has the potential to be a game-changer, empowering companies to swiftly adapt, enforce, and control data policies." Using generative AI, automation to alleviate cloud security management challenges Using generative AI for autonomous decisions, ASC aims to help ease operational burdens, accelerate deployment and management and mitigate risks by offering continuous monitoring, immediate adjustments and proactive threat mitigation, all designed to minimize manual work. Augmenting traditional Cloud Security Posture Management (CSPM) solutions, ASC will provide a tailored approach to cloud security management by harnessing AI-powered intelligence to consider the client-chosen control framework, along with future updates. In addition, the ASC solution is designed to automate and enforce hygiene maintenance, resolve misconfigurations, and reduce and address long-term policy drift. "IBM recognized the opportunity for our clients to better manage and enforce security policies in their cloud environments," said , Global Business Information Security Officer and Senior Partner for Cybersecurity Services at IBM. "With ASC, we're utilizing AI and automation tools to help organizations better manage their data, tackle cloud migration challenges and positively impact their compliance posture, to deliver value to stakeholders across the C-suite." As a scalable cloud solution, ASC is designed to help clients: And, for client security teams that spend months mapping security policies, aligning them with regulations and transforming them into scripts, ASC also seeks to accelerate the time spent on policy deployment using a combination of generative AI and cloud-native automation. Accelerating Cloud Transformation with IBM and AWS The introduction of ASC underscores IBM's commitment to helping mutual clients harness the power of AWS. By combining IBM's expertise in cloud transformation with AWS, ASC will allow clients to accelerate their cloud adoption and unlock new opportunities for business transformation and growth. Beginning with deployment and onboarding, IBM consultants with cloud certifications and AWS expertise can assist clients utilizing ASC with tailored assessments, continuous monitoring and optimization, and proactive risk and compliance management. In addition, IBM Consulting can support ASC integration on AWS to address client's evolving cloud infrastructure needs with the goal of improving accuracy and effectiveness over time. IBM's ASC solution will be generally available globally beginning in and showcased during an AWS re:Invent 2024 session titled, "Harnessing AI for Autonomous Cloud Security: IBM & AWS Game-Changing Solution." For more information on IBM's Autonomous Security for Cloud solution, visit: https://www.ibm.com/services/autonomous-security-cloud. Statements regarding IBM's future direction and intent are subject to change or withdrawal without notice and represent goals and objectives only. About IBM IBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. More than 4,000 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM's hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM's breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM's long-standing commitment to trust, transparency, responsibility, inclusivity and service.
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IBM Champions Generative AI and Automation to Safeguard Security Across AWS Environments - IBM (NYSE:IBM)
IBM's Autonomous Security for Cloud solution to help organizations transition to cloud-based environments using Amazon Bedrock's generative artificial intelligence (AI) to streamline and automate security and compliance tasks ARMONK, N.Y., Nov. 14, 2024 /PRNewswire/ -- IBM IBM today announced Autonomous Security for Cloud (ASC), an AI-powered solution from IBM Consulting designed to automate cloud security management and decision-making to help mitigate risk for organizations accelerating their cloud journey on Amazon Web Services (AWS) environments. Highlighted in IBM's 2024 Cloud Threat Landscape report, misconfigurations and compliance failures were identified as the top threats organizations face as they increasingly rely on cloud computing environments. Yet, in a technology landscape where security is non-negotiable, maintaining compliance and security can be complex, especially in highly regulated industries such as financial services, manufacturing and the public sector where legacy, labor-intensive compliance processes can be slow to evolve to rapidly changing cloud infrastructures and the strict regulatory standards required to protect data. For organizations focused on cloud-based architectures, security management requires robust and specific policies and configurations to mitigate potential risks. To address those needs, IBM's ASC solution will leverage Amazon Bedrock generative AI technology to automate, evolve and enforce client-chosen security controls quickly. "Insights from theCUBE Research shows that 96% of organizations continue to embrace cloud transformation, which intensifies the challenge of managing and securing data," said Dave Vellante, Chief Analyst and co-founder of theCUBE Research. "Generative AI-driven automation has the potential to be a game-changer, empowering companies to swiftly adapt, enforce, and control data policies." Using generative AI, automation to alleviate cloud security management challenges Using generative AI for autonomous decisions, ASC aims to help ease operational burdens, accelerate deployment and management and mitigate risks by offering continuous monitoring, immediate adjustments and proactive threat mitigation, all designed to minimize manual work. Augmenting traditional Cloud Security Posture Management (CSPM) solutions, ASC will provide a tailored approach to cloud security management by harnessing AI-powered intelligence to consider the client-chosen control framework, along with future updates. In addition, the ASC solution is designed to automate and enforce hygiene maintenance, resolve misconfigurations, and reduce and address long-term policy drift. "IBM recognized the opportunity for our clients to better manage and enforce security policies in their cloud environments," said Dimple Ahluwalia, Global Business Information Security Officer and Senior Partner for Cybersecurity Services at IBM. "With ASC, we're utilizing AI and automation tools to help organizations better manage their data, tackle cloud migration challenges and positively impact their compliance posture, to deliver value to stakeholders across the C-suite." As a scalable cloud solution, ASC is designed to help clients: Harness the power of generative AI to understand clients' security policies and standards using large language models (LLMs) and retrieval-augmented generative (RAG) applications;Infer AWS native technical controls that apply to an organization's workloads based on the client-chosen regulatory obligations;Autonomously monitor and deploy cloud security controls to mitigate misconfigurations; and,Address their non-compliance discrepancies using cloud-native automation. And, for client security teams that spend months mapping security policies, aligning them with regulations and transforming them into scripts, ASC also seeks to accelerate the time spent on policy deployment using a combination of generative AI and cloud-native automation. Accelerating Cloud Transformation with IBM and AWS The introduction of ASC underscores IBM's commitment to helping mutual clients harness the power of AWS. By combining IBM's expertise in cloud transformation with AWS, ASC will allow clients to accelerate their cloud adoption and unlock new opportunities for business transformation and growth. Beginning with deployment and onboarding, IBM consultants with cloud certifications and AWS expertise can assist clients utilizing ASC with tailored assessments, continuous monitoring and optimization, and proactive risk and compliance management. In addition, IBM Consulting can support ASC integration on AWS to address client's evolving cloud infrastructure needs with the goal of improving accuracy and effectiveness over time. IBM's ASC solution will be generally available globally beginning in December 2024 and showcased during an AWS re:Invent 2024 session titled, "Harnessing AI for Autonomous Cloud Security: IBM & AWS Game-Changing Solution." For more information on IBM's Autonomous Security for Cloud solution, visit: https://www.ibm.com/services/autonomous-security-cloud. Statements regarding IBM's future direction and intent are subject to change or withdrawal without notice and represent goals and objectives only. About IBM IBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. More than 4,000 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM's hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM's breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM's long-standing commitment to trust, transparency, responsibility, inclusivity and service. Visit www.ibm.com/ for more information. IBM Contacts: Joel Rushing Joel.Rushing@ibm.com Alex Prevor Alexandra.Prevor@ibm.com View original content to download multimedia:https://www.prnewswire.com/news-releases/ibm-champions-generative-ai-and-automation-to-safeguard-security-across-aws-environments-302305157.html SOURCE IBM Market News and Data brought to you by Benzinga APIs
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IBM introduces Autonomous Security for Cloud, leveraging generative AI and automation to streamline security management and compliance for organizations using AWS, addressing key challenges in cloud transformation.
IBM has announced a groundbreaking solution aimed at revolutionizing cloud security management. The new offering, called Autonomous Security for Cloud (ASC), is designed to leverage generative artificial intelligence (AI) and automation to enhance security and compliance for organizations transitioning to cloud-based environments, particularly those using Amazon Web Services (AWS) 12.
According to IBM's 2024 Cloud Threat Landscape report, misconfigurations and compliance failures are the top threats facing organizations as they increasingly rely on cloud computing. This is especially critical in highly regulated industries such as financial services, manufacturing, and the public sector, where legacy compliance processes struggle to keep pace with rapidly evolving cloud infrastructures and stringent regulatory standards 1.
To tackle these challenges, IBM's ASC solution will utilize Amazon Bedrock's generative AI technology to automate, evolve, and enforce client-chosen security controls swiftly. Dave Vellante, Chief Analyst and co-founder of theCUBE Research, notes that 96% of organizations are embracing cloud transformation, intensifying data management and security challenges 12.
ASC aims to alleviate operational burdens and mitigate risks through several innovative features:
The solution is designed to augment traditional Cloud Security Posture Management (CSPM) solutions by providing a more adaptive and intelligent approach to security management.
ASC harnesses the power of generative AI and cloud-native automation to:
These capabilities aim to significantly reduce the time security teams spend on policy deployment and management.
The introduction of ASC underscores IBM's commitment to helping clients leverage AWS capabilities. IBM consultants with cloud certifications and AWS expertise will assist clients in implementing ASC, offering tailored assessments, continuous monitoring, and proactive risk and compliance management 12.
IBM's Autonomous Security for Cloud solution is scheduled for global availability beginning in December 2024. It will be showcased during an AWS re:Invent 2024 session titled "Harnessing AI for Autonomous Cloud Security: IBM & AWS Game-Changing Solution" 12.
As organizations continue to embrace cloud transformation, solutions like ASC are poised to play a crucial role in addressing the complex challenges of cloud security and compliance. By combining IBM's expertise in cloud transformation with AWS's infrastructure, ASC aims to accelerate cloud adoption and unlock new opportunities for business growth and innovation in an increasingly cloud-centric world.
IBM and AWS announce a significant expansion of their partnership, focusing on responsible AI and introducing IBM's Granite models to Amazon's cloud services. This collaboration aims to provide enterprises with powerful, cost-effective AI solutions while emphasizing governance and security.
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IBM has introduced a new generative AI-powered cybersecurity assistant, aiming to revolutionize threat detection and response. This innovative tool is designed to help security analysts work more efficiently and effectively in an increasingly complex digital landscape.
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IBM introduces a comprehensive data security platform to protect organizations against emerging threats in AI, quantum computing, and hybrid cloud environments.
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Accenture and Amazon Web Services (AWS) have joined forces to create a new Responsible AI platform, aiming to help organizations scale AI adoption responsibly and efficiently.
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IBM has completed its acquisition of HashiCorp, a leader in cloud infrastructure automation, for $6.4 billion. This move aims to enhance IBM's hybrid cloud platform and support the growing demand for automated infrastructure in AI and cloud-native applications.
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