Ferramentas e modernização de aplicativos suportam parceiros de segurança cibernética da AWS no gerenciamento de ameaças contínuas

As the world of technology has become more complex due to an explosion in artificial intelligence use cases, it has also created challenges for cybersecurity professionals. Generative AI applications must be secured, the infrastructure surrounding AI must be protected, and there is constant concern about new threats driven by AI-powered tools.

For leading cloud providers like Amazon Web Services Inc., this reality requires close coordination with their partners to ensure these factors are managed appropriately.

“We’re definitely seeing an increase in the velocity of attacks, so obviously security partners need to address that, and AWS needs to address that,” said Rohan Karmarkar (pictured), Director of Apo Technology for AWS Partner SA. “These partners are ensuring they build the capability to defend against AI-powered attacks and also build the capability to make security engineers and the security operations center more productive and more automated. These are the two things we’re working with our partners to build these capabilities using the secure foundation we have.”

Karmarkar spoke with thecube’s John Furrier at the Mid-Year Leadership Summit during an exclusive broadcast on TheCube, Siliconangle Media’s livestream studio. They discussed how partners are using AWS tools to mitigate threats and create a more secure environment.

Building Cybersecurity on AWS

For partners, a key approach to managing security initiatives in the AI world is to build on the AWS platform. According to Karmarkar, this includes leveraging many of the cloud providers ‘ intelligence tools .

“PagerDuty, one of our top partners, uses Amazon Q Business, Amazon Bedrock, and Amazon Sagemaker to enhance incident response automation with AI,” said Karmarkar. “Other partners, like Trellix, have a Trellix-wide security assistant built on Amazon Bedrock and Sagemaker. Security engineers are often overwhelmed by these incidents, so providing the right context and helping them analyze them and make them more productive is something our security partners are doing.”

Another thing security partners are doing is building agents. AWS is seeing its partners explore Agentic AI innovation to address a wide range of factors, including cost, accuracy, and domain expertise management.

“Existem alguns parceiros como Pantherai e Securonix que lançaram vários agentes que ajudam em aspectos de engenharia de segurança, operações de segurança”, disse Karmarkar. “Estamos vendo muitos tipos agênticos de fluxos de trabalho e aplicativos sendo construídos agora. Eles estão começando com agentes simples, mas também estamos vendo tendências em que a comunicação agente para agente e os tipos de fluxos de trabalho com vários agentes estão lá”.

A adoção de agentes de IA e novas maneiras de alavancar a tecnologia autônoma para melhorar a segurança forçaram muitos parceiros e clientes da AWS a reavaliar seus aplicativos. A modernização de aplicativos tornou -se um ingrediente essencial na construção de um ambiente seguro de TI.

“Há muita conversa sobre a modernização de aplicativos”, explicou Karmarkar. “Definitivamente, estamos falando de modernização de aplicativos, porque a modernização de aplicativos e dados é a base para ter uma IA forte. Como podemos usar os aplicativos para usar as mais recentes tecnologias, fornecer interfaces ou bancos de dados para serem ativados por vetor? É um momento interessante para estar em tecnologia”.

Aqui está a entrevista completa em vídeo, parte da cobertura de siliconangle e thecube Cúpula de liderança no meio do ano:

https://www.youtube.com/watch?v=lVor5elqr0q

Foto: Siliconangle