Business Continuity Generative AI Security 
AWS Machine Learning - AI
JANUARY 26, 2024
Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. This post provides three guided steps to architect risk management strategies while developing generative AI applications using LLMs.
Tenable
JULY 26, 2024
Plus, what Europol found about the use of AI for cybercrime. Meanwhile, the risk concerns that healthcare leaders have about generative AI. And a poll on water plant cybersecurity. Cybersecurity and Infrastructure Security Agency (CISA), the FBI and law enforcement agencies from the U.S., And much more!
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CIO
JANUARY 24, 2024
How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Many industries and regions have strict regulations governing data privacy and security,” Miller says. Dirty data or poor-quality data is the biggest issue with AI, Impact Advisor’s Johnson says.
Cloudera
AUGUST 21, 2024
The Awards showcase IT vendor offerings that provide significant technology advances – and partner growth opportunities – across technology categories including AI and AI infrastructure, cloud management tools, IT infrastructure and monitoring, networking, data storage, and cybersecurity.
CIO
FEBRUARY 16, 2024
Likely, they will need to exploit all the latest tools provided by cloud and data partner ecosystems to manage, govern, scale, analyze, and secure their data before they can deliver these types of solutions. Learn more about how EXL can put generative AI to work for your business here.
Palo Alto Networks
JULY 18, 2024
We’ll explore how Palo Alto Networks has built an integration with OpenAI’s ChatGPT Enterprise Compliance API to empower organizations with the transformative potential of AI while supporting the critical need for robust data and threat protection. Visibility into ChatGPT Enterprise data assets.
AWS Machine Learning - AI
FEBRUARY 1, 2024
Resilience plays a pivotal role in the development of any workload, and generative AI workloads are no different. There are unique considerations when engineering generative AI workloads through a resilience lens. Make sure to use best practices for rate limiting, backoff and retry, and load shedding.
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