Remove Authentication Remove AWS Remove Compliance Remove Security
article thumbnail

A secure approach to generative AI with AWS

AWS Machine Learning - AI

They’re often used with highly sensitive business data, like personal data, compliance data, operational data, and financial information, to optimize the model’s output. At AWS, our top priority is safeguarding the security and confidentiality of our customers’ workloads.

article thumbnail

Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning - AI

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. We then discuss how building on a secure foundation is essential for generative AI.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Akeyless secures a cash infusion to help companies manage their passwords, certificates and keys

TechCrunch

Back in 2018, Refael Angel, a former security software engineer at Intuit, had an idea for a new approach to protect encryption keys — the random string of bits created to scramble and unscramble data — on the cloud. GitGuardian estimates that app security engineers on average have to handle over 3,400 secrets occurrences.

Company 217
article thumbnail

Protect AI lands a $13.5M investment to harden AI projects from attack

TechCrunch

Seeking to bring greater security to AI systems, Protect AI today raised $13.5 Protect AI claims to be one of the few security companies focused entirely on developing tools to defend AI systems and machine learning models from exploits. Swanson suggests internal-use authentication tokens and other credentials, for one.

article thumbnail

10 Best Practices to Secure PostgreSQL AWS RDS/Aurora

Datavail

AWS supports PostgreSQL versions 9.4 Security and Compliance is a shared responsibility between AWS and the customer: AWS is responsible for security “OF” the cloud. Security and Compliance is a shared responsibility between AWS and the customer: AWS is responsible for security “OF” the cloud.

AWS 98
article thumbnail

What Is cloud security?

Lacework

At this time, establishing server securing meant focusing on physical measures and preventing unauthorized individuals from accessing the hardware. Amazon released Amazon Web Services (AWS) in 2002, Google launched Google App Engine’s beta version in 2008, Microsoft’s Azure made its debut in 2010, and Google Compute Engine premiered in 2012.

Cloud 98
article thumbnail

AWS vs. Azure vs. Google Cloud: Comparing Cloud Platforms

Kaseya

In this blog, we’ll compare the three leading public cloud providers, namely Amazon Web Services (AWS), Microsoft Azure and Google Cloud. Amazon Web Services (AWS) Overview. A subsidiary of Amazon, AWS was launched in 2006 and offers on-demand cloud computing services on a metered, pay-as-you-go basis. Greater Security.