Name: Mitigating AI Risks with Confidential Computing in the Cloud
Start: 2023-09-25T16:26:00Z
End: 2023-09-25T16:26:36.000Z
Location: BrightTALK
Rating: 5

Anjuna Seaglass™ is the world’s first Universal Confidential Computing Platform, capable of running applications in any cloud with complete data security and privacy. Anjuna Seaglass isolates workloads in a hardware-assisted Trusted Execution Environment that intrinsically secures data in every state – in use, at rest, and in transit – to create a zero trust environment.

Confidential Computing introduces new techniques that bolster the security of applications and data, establishing a robust defense against insider breaches and unauthorized access.

This novel approach tackles new challenges in scenarios requiring secure collaboration among untrusted parties, such as generative AI applications. Ensuring data rights management, privacy, and control are paramount to thwart issues like model poisoning, data leakage, and theft.

In this webinar, we explore the critical importance of safeguarding in-use code and data in the context of emerging AI LLMs. Through attack demonstrations and real-world use cases in financial services and healthcare, we illustrate how a Confidential Computing-based zero-trust architecture enables organizations to meet escalating demand AI technologies with confidence.

In this webinar, you will learn how:
- Confidential Computing enhances app and data security against insider threats.
- This technology addresses enterprise challenges in secure collaboration.
- Confidential Computing is applied to reduce risks in cloud-hosted AI technology, such as LLMs.

Mitigating AI Risks with Confidential Computing in the Cloud

In this era of breakneck advancements in AI, enterprises face the challenge of harnessing the power of AI, while safeguarding sensitive data and models. This webinar explores how Model Serving works with Confidential AI Clean Rooms to ensure that enterprise AI initiatives are secure, performant, and successful. 

AI and ML systems have countless components, which may be vulnerable and hard to manage. Using an AI inference platform enables enterprise AI teams to build fast, secure, and scalable AI applications. By combining an AI inference platform with Confidential AI Clean Rooms, you can add the benefits of Confidential Computing, a revolutionary technology that provides a hardware root-of-trust and protects the entire system and all of its components. 

Your models and data should reside within your cloud account with full visibility and control over the compute resources and network access. When the entire system is deployed in your own infrastructure, it ensures that data and models are never exposed to external access or third-party SaaS vendor risk. 

Join Anjuna and BentoML to see practical strategies to protect AI processing and collaboration workflows. You will learn how enterprises can embrace AI innovation with resilience and confidence, unlocking new opportunities.

Secure AI at Scale: Model Serving with Confidential AI Clean Rooms

Protecting data while in use, as opposed to when it's at rest or in transit, has always been a challenge because data must be unencrypted for software to process it. Confidential Computing provides a solution to this challenge by creating a secure environment for trusted code and data, isolated from unauthorized access and protected by a hardware-based root of trust.

In this webinar, attendees will be introduced to the concept of Confidential Computing and its significance for data security and privacy in cloud computing. The session will cover the latest developments and advancements in Confidential Computing and how attendees can apply this technology to enhance the security of their cloud workloads.

This webinar is ideal for tech leaders, cloud architects, and developers looking to explore the benefits of Confidential Computing for their organization. Topics to be covered in the session:

- Introduction to Confidential Computing
- Importance of Confidential Computing for data security
- Addressing cloud security challenges with Confidential Computing
- Overview of Confidential Computing technologies, such as Trusted Execution Environments (TEEs)
- Confidential Computing in various industries: real-world use cases

Understanding Confidential Computing: A Guide to Securing Your Cloud Workloads

This insightful webinar, led by Steve Van Lare, VP of Engineering at Anjuna, delves into the paradigm shift in cloud security with Confidential Computing. Explore how Confidential Computing revolutionizes data protection in the cloud, ensuring the confidentiality and integrity of sensitive information. Discover how this cutting-edge technology redefines traditional security paradigms, offering a secure enclave for processing sensitive workloads while maintaining regulatory compliance. Don't miss this opportunity to rethink your approach to cloud security and stay ahead of evolving threats.

Rethink Cloud Security with Confidential Computing

Confidential computing can help any organization dramatically improve security without friction and complexity. Workloads can operate with privacy with hardware-level isolation, yet use fully elastic cloud computing, raising the bar on security and privacy over operations. In financial services and Fintechs, Confidential Computing can speed time to market with the highest levels of security, while avoiding spend and effort on software-only solutions that will always be vulnerable.

Join this webinar to learn the story of Portal's journey to integrate their Blockchain infrastructure with Confidential Computing, a pivotal technology currently shaping their security posture. Portal is a rapidly emerging financial technology company. Parsa Attari, co-founder at Portal, will engage in a candid fireside chat with Mark Bower, VP of Product at Anjuna, exploring the progression of Portal's venture into deploying secure enclave technology while meeting critical timelines.

Don't miss this insightful conversation illuminating the transformative power of this enabling technology in the Fintech sector.

Secure Nextgen Fintech: Portal's Fusion of Blockchain and Confidential Computing

Explore how Confidential Computing revolutionizes secrets management for organizations undergoing cloud-based digital transformations. Hybrid architectures often strain legacy backend components like HSMs and key management systems, which must move to the cloud to scale. Learn how Confidential Computing solves these challenges, enabling effective secrets management practices. 

Join us as we explore: 
• The challenges of leveraging the cloud for digital transformations while relying on HSMs for secrets management. 
• Architectural design patterns that address these challenges and enhance secrets management practices. 
• The application of Confidential Computing to secure these design patterns, ensuring scalable and auditable security.

Making Secrets Management Scalable and Auditable with Confidential Computing

Organizations looking to reap the benefits of public cloud economics are still challenged by the risks of data exposure associated with having shared responsibility with the cloud service provider over their infrastructure. The crude reality is that anyone or any process with root access can easily exfiltrate data, code and secrets that sit unencrypted in running processes, regardless of other methods of protection and encryption. These concerns continue to keep many modern organizations from migrating highly sensitive workloads to the cloud, which in many cases stalls their ability to innovate at maximum capacity.

A new innovative technology - Confidential Computing - offers a breakthrough approach to completing the data protection trifecta by encrypting data in-use using hardware-level isolation technologies embedded in modern CPUs, thereby achieving “tip-of-the-spear” security. As cloud service providers embrace these advancements and make them widely available, enterprises are looking to understand 1. What are the best use cases to begin their Confidential Computing journey, and 2. What are available software tools to adopt and abstract this new hardware-level paradigm in order to minimize complexity, optimize performance, and maximize flexibility to scale in a hybrid cloud world. 



Join Mark Bower, VP of Product at Anjuna Security, for this keynote presentation on the fundamentals of Confidential Computing.

Achieve Tip-of-the-Spear Security with Confidential Computing

While many organizations perceive cloud security to be strong, there are significant risks that traditional approaches cannot mitigate. We will review a recent Cloud Security Alliance survey about protecting sensitive data and examine privacy-enhancing technologies such as confidential computing, homomorphic encryption, and others. We will discuss which ones are best suited to solve enterprise security needs.

Trends in Securing Sensitive Data with Privacy Enhancing Technologies

Data Security

Cloud Security

Artificial Intelligence

Machine Learning

Data Protection

Large Language Model

Zero Trust

ChatGPT

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Mitigating AI Risks with Confidential Computing in the Cloud

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