Category: Security & Governance

The rapid adoption of generative AI tools by employees is revolutionizing workflow efficiency and productivity across industries. The workforce usage of public AI models requires unique security considerations that traditional approaches struggle to address. This post delves into how SurePath AI empowers organizations to navigate these challenges, implementing robust security frameworks for Gen AI adoption. We will see how SurePath AI enables safe innovation while helping protect sensitive data, and maintaining regulatory compliance.

By Aaron Gettings, Director of Engineering at Cloud Storage Security by Ashok Mahajan, Sr. Partner Solutions Architect, Startups at AWS by Neil Salamack, Senior Product Marketing Manager at AWS Managing file storage data security is an inherently complex task. Uncoordinated file storage in the cloud often leads to disparate environments with fragmented data. The result […]

This blog highlights the approach Trellix took to accelerate the development and testing of product integrations and automated rules development. Using agentic AI methodology, Trellix is able to save over 40 hours of development time per integration resulting in a 90% reduction time to market. Trellix used Amazon Bedrock, LangChain, and Anthropic Claude in this effort.

Discover how HashiCorp’s HCP Vault Radar helps organizations combat secret sprawl by providing automated detection and analysis of secrets across enterprise environments. Learn how this AWS Marketplace solution integrates with AWS services like Systems Manager Parameter Store and S3 to enhance security posture and maintain compliance through continuous scanning and remediation capabilities.

Learn how to implement a Zero Trust strategy that takes security a step beyond traditional, perpetual access permissions by continually verifying credentials and access permissions based on the latest threat intelligence, and revoking access when a threat is detected. This post covers how StrongDM’s Just-in-Time access secures AWS data plane resources such as Amazon Redshift, Amazon EC2 instances and Amazon Elastic Kubernetes Service while supporting Zero Trust principles.

Through the integration of Veeam and AWS security best practices, organizations are equipped to address their regulatory compliance adherence while enhancing overall security resilience when deploying their data protection solution on AWS.

Data privacy regulations are tightening globally, requiring organizations to enhance security for sensitive data in the cloud. Among various security controls, tokenization replaces sensitive information with cryptographically generated, non-sensitive identifiers. This post explores how Thales’ CipherTrust Tokenization Solution on AWS helps organizations meet PCI-DSS compliance requirements while protecting sensitive payment data.

Discover how SentinelOne’s Singularity Cloud Workload Security leverages eBPF framework and Behavioral AI to provide real-time threat protection for Kubernetes workloads on AWS. Learn how this AWS Partner’s solution offers comprehensive security coverage through agent-based protection, automated incident visualization, and seamless integration with Amazon EKS to help organizations secure their containerized applications effectively.

The integration of artificial intelligence (AI) technologies is rapidly gaining momentum across various industries, offering a variety of business advantages. However, without implementing robust AI security measures, organizations may face substantial risks, including model poisoning and sensitive data breaches. Learn how Orca Security provides effective strategies to mitigate and prevent these potential threats.

In an era where data drives innovation and AI reshapes industries, effective governance and security have become paramount. Recognizing this critical need, AWS has launched a groundbreaking Data & AI Governance and Security partner initiative. This program brings together elite Service and Software partners to tackle the complex challenges organizations face in managing their data and AI assets. Partners joining this initiative gain access to exclusive AWS tools, expertise, and go-to-market support. They also benefit from potential funding opportunities and increased visibility within the AWS ecosystem. For customers, this initiative offers a curated selection of vetted partners equipped with the expertise and tools to navigate the complexities of data and AI governance. By leveraging these partnerships, organizations can build strong foundations for responsible, secure, and innovative data practices while maintaining compliance and ethical standards.