AWS Machine Learning - AI

JANUARY 26, 2024

Understanding and addressing LLM vulnerabilities, threats, and risks during the design and architecture phases helps teams focus on maximizing the economic and productivity benefits generative AI can bring. What are some ways to implement security and privacy controls in the development lifecycle for generative AI LLM applications on AWS?

Artificial Inteligence 115

Artificial Inteligence Generative AI Security Applications 115

Lacework

JUNE 14, 2022

This is just one reason why it’s more important than ever to implement runtime visibility and anomaly threat detection. This way, organizations can alert on abnormal activity and detect an attack. If you are looking for abnormal behavior, you’ve got a much better chance of stopping a very expensive attack. .

Cloud 52

Cloud Linux Policies Windows 52

Lacework

NOVEMBER 9, 2022

Lacework® is on a mission to prioritize risks that pose the greatest threats to customers. Given the complexity of cloud environments, attackers seeking to compromise a system will look for the path of least resistance. Attack path analysis is essential to uncovering and preventing this malicious behavior.

Analysis 52

Analysis AWS Cloud Internet 52

Lacework

JULY 26, 2022

AWS re:Inforce 2022 kicked off today in Boston, Massachusetts. It feels good to be back at an AWS event, and even better to be surrounded by fellow cloud security lovers. We are also thrilled to share that we’ve once again achieved the compliance and privacy distinction in the Amazon Web Services (AWS) Security Competency.

AWS 52

AWS Innovation Compliance Case Study 52