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Amazon Web Services (AWS) has unveiled its migration plan to post-quantum cryptography (PQC). By publicly sharing this roadmap, AWS sets the stage for industry-wide collaboration and a smoother transition to quantum-resistant security protocols, ensuring customer data is protected in the quantum era. The migration is structured into four distinct workstreams, each addressing critical aspects of the transition: 1. System Inventory and Migration Planning AWS's first step involves a comprehensive inventory of existing systems, focusing on where public-key cryptography is used and prioritizing areas at the greatest risk from future quantum computers. The emphasis is on encryption in transit, which secures communications over untrusted networks. By addressing these vulnerabilities now, AWS ensures data shared with its services remains confidential, even in a quantum-capable future. 2. Implementing PQC in Communication Protocols Public AWS endpoints will adopt hybrid post-quantum key agreements, combining classical cryptography (like Elliptic-Curve Diffie-Hellman) with post-quantum methods. This approach ensures long-term confidentiality for communications between AWS and its customers, supported by AWS’s FIPS-validated cryptographic library (AWS-LC). Key services like Elastic Load Balancing and Amazon API Gateway will integrate these advancements to shield customer workloads from quantum threats. 3. Long-Term Roots of Trust for Cryptographic Signing AWS will integrate the ML-DSA algorithm into services like AWS Key Management Service (AWS KMS), enabling customers to establish quantum-resistant roots of trust for long-lived use cases. These secure signatures are crucial for systems with extended lifecycles, such as IoT devices and critical infrastructure, ensuring their integrity even decades into the quantum future. 4. Quantum-Resistant Digital Signatures for Authentication To protect session-based authentication, AWS will work with industry standards groups to enable post-quantum certificates. While challenges in public certificate issuance remain, AWS Private Certificate Authority (Private CA) will offer quantum-resistant certificates for controlled environments. Customers can also leverage AWS’s open-source solutions to adopt PQC for private networking channels. Link: https://lnkd.in/gXnwqDwA #quantum #cyber #risk #PQC

🔒 Safeguarding #AI in the #Cloud: Why It Matters? Running AI in a protected cloud environment, like Microsoft's Cloud for Sovereignty, is crucial for data security and compliance. Here's why: 1. **Data Protection**: Keep control of your data and comply with regulations by hosting AI in a secure cloud environment. 2. **Security**: Shield sensitive data from cyber threats with features like Private Link services and Web Application Firewalls. 3. **Efficiency**: Streamline operations with optimized data pipelines and tailored AI services. 4. **Future-proofing**: Stay ahead of the curve by preparing for scalability and resilience in an ever-changing world. In a nutshell, protecting AI in the cloud isn't just smart - it's essential for business success. Dive into the latest advancements in AI and LLM configurations on Microsoft Cloud for Sovereignty. The integration of #AzureOpenAI within the Retrieval Augmented Generation (#RAG) pattern is a game-changer for public sector organizations. Check out the detailed writeup here https://lnkd.in/gGpDN53u #cloudforsovereignty #industrysolutions #LLM #Innovation #RAG #AzureOpenAI #AI #CloudSecurity #DataProtection #MicrosoftAzure #appinnovation

The Critical Role of AWS in Global Cybersecurity Imagine this: A major cyberattack targets Amazon Web Services (AWS), the backbone of countless businesses and services worldwide. In mere minutes, the impact could be catastrophic: 1. Disrupted Services: From e-commerce platforms to streaming services, countless applications would go offline, halting business operations and daily activities. 2. Economic Impact: Financial transactions, supply chains, and communication networks could come to a standstill, resulting in billions of dollars in losses. 3. Data Breaches: Sensitive information across multiple sectors could be compromised, leading to severe privacy and security concerns. AWS Cybersecurity Initiatives: • Advanced Threat Detection: AWS employs AI and machine learning to detect and mitigate threats in real-time. • Global Security Operations: Robust security operations centers monitor and respond to incidents 24/7. • Partnerships and Compliance: AWS partners with global security organizations and adheres to strict compliance standards to ensure data protection. In today’s interconnected world, the security of cloud infrastructure is paramount. The resilience of AWS is not just a tech issue—it’s a global priority. 🌐🔒 #CyberSecurity #AWS #CloudSecurity #DataProtection #TechInnovation #CyberDefense #AI #MachineLearning

As attackers use #AI to create sophisticated threats at scale, defenders must evolve. #GenerativeAI allows us to simulate attacks in secure environments, develop targeted detection tools, and process vast amounts of security data for quicker insights. Staying ahead in the #cybersecurity arms race isn't optional—it's essential. Register now to learn more about Building a Cyber-Resilient Cloud Environment with our experts from Hitachi, Verizon, and AWS. https://lnkd.in/gGa-c2q4 Arshad Aziz, Sanjay Gopal, Rajesh D., David Solomonraj, MBA, Adithya Sastry, Marimuthu Muthusamy, Lori Tummonds, AWS for Telecom

Key Requirements for Multicloud Security 1. Infrastructure Visibility : Ensure comprehensive monitoring of all resources, configurations, and user activities across platforms like AWS, Azure, and Google Cloud. A unified view helps identify misconfigurations and vulnerabilities early. 2. Secure Sensitive Data Use DSPM tools to discover, classify, and protect critical information, ensuring compliance with privacy regulations while reducing data breach risks. 3. Risk Prioritization and Remediation Consolidate risk data to address high-priority threats such as misconfigurations and over-permissioned access, focusing on critical vulnerabilities with significant business impact. 4. Risk Prevention Incorporate security early in development by scanning IaC templates for vulnerabilities. Proactive issue resolution reduces the risk of insecure deployments. 5. External Attack Surface Assessment Identify exposed assets like misconfigured APIs or databases using tools that scan internet IP spaces, securing shadow resources before they are exploited. 6. Protect AI Models Safeguard AI systems with AI Security Posture Management (AI-SPM) tools to address risks like data poisoning or adversarial attacks, ensuring compliance and model integrity. Source Credit : PaloAlto Networks #Cloudcomputing #security #AWS #azure #gcp

Emerging Technologies update! Here are the top 5 technology investments by leading software companies: 🔆Artificial Intelligence and Machine Learning: Companies like Google, Microsoft, and IBM are heavily investing in AI and ML to enhance their product offerings and drive innovation. 💭Cloud Computing: Amazon (AWS), Microsoft (Azure), and Google (Google Cloud) continue to invest in expanding their cloud infrastructure and services to meet growing demand. 🛩️Quantum Computing: IBM and Google are at the forefront of research in quantum computing, aiming to revolutionize problem-solving capabilities across industries. 🚨Cybersecurity: Companies like Cisco and Palo Alto Networks are investing in advanced cybersecurity technologies to protect against increasing cyber threats. 🧭5G and Edge Computing: Intel and Qualcomm are leading investments in 5G technology and edge computing to support faster and more efficient data processing closer to the source. Reference - Internet #PrabhuTalks #EmergingTechnologies #AI #Cloud #5G #Cybersecurity #quantamcomputing Amazon Web Services (AWS) Google Microsoft IBM CISO Intel Corporation Palo Alto Networks

Just wrapped up an insightful session at IBM TechXchange on securing Hybrid Cloud, AI and Quantum era!🌐🤖 As businesses adopt Hybrid Cloud for flexibility and AI for efficiency, the session highlighted the critical security challenges we face. With 82% of breaches involving cloud data and fewer than 25% of AI projects properly secured, it’s clear we need stronger protection and better tools. Suja Viswesan and Akiba Saeedi shared instrumental insights on deploying access controls and digital defenses to safeguard our enterprises in this rapidly evolving tech landscape. This session enabled the cybersecurity leaders across enterprises to deeply understand and act on security in the era of Quantum, AI and Hybrid Cloud. IBM announced new security software capabilities 1. Guardium AI Security 2. Guardium Quantum Safe 3. Verified Digital Credentials 4. GenAI for IBM Verify #IBMTechXchange #Cybersecurity #HybridCloud #AI #EnterpriseSecurity #TechLeadership #IBMSecurity #IBMGuardiumQuatumSafe #IBMQuantumSafe #IBMQuantumSafe #IBMGuardiumSecurityDataCenter Ray Harishankar Kevin Skapinetz Dinesh Nirmal Kareem Yusuf Ph.D Dario Gil Scott Crowder Jay Gambetta Barbara Saltzman Eric Maass Michael Saldarriaga Ray Shieh, MBA Hannah C.

✨Learning Highlight ✨ Securing Azure AI services: Azure AI services are primarily accessed using subscription keys, hence, keeping them safe is of paramount importance. These keys should be rotated regularly to prevent unauthorised access. Azure AI Services resources are created with 2 subscription keys to ease regular regeneration without service interruption. Other ways of securing these keys includes: ➡Using Azure Key Vault to securely store and manage access to subscription keys, utilising security principals and managed identities for client applications. ➡Using token-based authentication when accessing Azure AI Services via REST ➡Using Microsoft Entra where supported. Also, Azure AI resources can be configured to restrict network access to specific addresses or networks, increasing security and protecting resources from unauthorized users. #Microsoft #CloudSkillsChallenge #LearningJourney #ArtificialIntelligence #Azure #AzureAI #Security #AI

🔐 Securing Azure AI Services: Essential Practices for Security 🔐 Ensuring the security of your Azure AI services is crucial. Here’s a guide to key security measures you can implement to protect your AI infrastructure: - Authentication & Authorization: Regenerate keys regularly to protect against unauthorized access. Authenticate using service principals or managed identities. - Role-Based Access Control (RBAC): Assign precise permissions based on roles to ensure only authorized users can access your AI resources. - Network Security: Integrate your AI services with Azure Virtual Networks (VNets) for enhanced security. Use VNet service endpoints or private endpoints to restrict access within your network. - Data Protection: Secure sensitive data by utilizing Azure Key Vault for managing encryption keys and secrets. Implementing these security practices will safeguard your Azure AI services, protect your data, and ensure compliance with security standards. Stay proactive in securing your AI infrastructure! #azure #ai #azureai

🚀 CrowdStrike is taking AI security to the next level with #AWS! We're thrilled to announce our expanded collaboration with Amazon Web Services (AWS) to secure the entire AI ecosystem. Here's what's new: ☑️ CrowdStrike Falcon® platform now protects Amazon #SageMaker, safeguarding AI/ML workloads ☑️ Enhanced security for Amazon #Bedrock, ensuring safe generative AI development ☑️ Falcon LogScale integration with Amazon Security Lake for comprehensive threat detection As #AI becomes increasingly crucial in business operations, our partnership with AWS ensures that organizations can innovate with confidence, knowing their AI infrastructure is protected by industry-leading cybersecurity. Learn more about how we're securing the future of AI: https://lnkd.in/gfFCsWVY #CrowdStrike #AWS #AISecurity #Cybersecurity #Innovation #AWSReInvent