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The BSIMM is a study of existing software security initiatives. By quantifying the practices of many different organizations, we can describe the common ground shared by many as well as the variation that makes each unique. BSIMM is not a “how to” guide, nor is it a one-size-fits-all prescription. Instead, BSIMM is a reflection of software security. Here are some things we've learned and observed over the years that may help you.

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Much attention has been given to the need for increased automation in security, given the sheer volume of attackers and attacks, the overload of information security pros must wrangle, and the continued high demand for security expertise. But can automation solve all of security’s most serious problems? If not, why not? Will there always be a need for human involvement? These slides were used in a live webcast featuring, 451 Research Information Security Research Director Scott Crawford and Cigital Managing Principal Nabil Hannan. You can watch this and other webcasts by visiting https://www.cigital.com/resources/.

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Did you know that the web is the most common target for application-level attacks? That being said, if you have ever been tasked with securing a web application for one reason or another, then you know it’s not a simple feat to accomplish. When securing your applications, it’s critical to take a strategic approach. This web application security testing checklist guides you through the testing process, captures key testing elements, and prevents testing oversights. Tailor your approach and ensure that your testing strategy is as effective, efficient, and timely as possible with these six steps:

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High profile security breaches are leading to heightened organizational security concerns. Firms around the world are now observing the consequences of security breaches that are becoming more widespread and more advanced. Due to this, firms are ready to identify vulnerabilities in their applications and mitigate the risks. Two ways to go about this are static application security testing (SAST) and dynamic application security testing (DAST). These application security testing methodologies are used to find the security vulnerabilities that make your organization’s applications susceptible to attack. The two methodologies approach applications very differently. They are most effective at different phases of the software development life cycle (SDLC) and find different types of vulnerabilities. For example, SAST detects critical vulnerabilities such as cross-site scripting (XSS), SQL injection, and buffer overflow earlier in the SDLC. DAST, on the other hand, uses an outside-in penetration testing approach to identify security vulnerabilities while web applications are running. Let us guide you through your application security testing journey with more key differences between SAST and DAST:

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There is an old management adage that says “You can’t manage what you don’t measure.” The Building Security in Maturity Model (BSIMM) applies scientific principles to the field of software security to effectively measure security activities across industries and business units. The BSIMM enables experts like you to discover what exists in the application security universe, how those things work today, how they worked in the past and how they are likely to work in the future.

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AI/ML Infra Meetup May. 23, 2024 Organized by Alluxio For more Alluxio Events: https://www.alluxio.io/events/ Speaker: - Junchen Jiang (Assistant Professor of Computer Science, @University of Chicago) Prefill in LLM inference is known to be resource-intensive, especially for long LLM inputs. While better scheduling can mitigate prefill’s impact, it would be fundamentally better to avoid (most of) prefill. This talk introduces our preliminary effort towards drastically minimizing prefill delay for LLM inputs that naturally reuse text chunks, such as in retrieval-augmented generation. While keeping the KV cache of all text chunks in memory is difficult, we show that it is possible to store them on cheaper yet slower storage. By improving the loading process of the reused KV caches, we can still significantly speed up prefill delay while maintaining the same generation quality.

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AI/ML Infra Meetup May. 23, 2024 Organized by Alluxio For more Alluxio Events: https://www.alluxio.io/events/ Speaker: - Eric Wang (Software Engineer, @Uber) Uber has numerous deep learning models, most of which are highly complex with many layers and a vast number of features. Understanding how these models work is challenging and demands significant resources to experiment with various training algorithms and feature sets. With ML explainability, the ML team aims to bring transparency to these models, helping to clarify their predictions and behavior. This transparency also assists the operations and legal teams in explaining the reasons behind specific prediction outcomes. In this talk, Eric Wang will discuss the methods Uber used for explaining deep learning models and how we integrated these methods into the Uber AI Michelangelo ecosystem to support offline explaining.

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Data privacy is one of the most critical issues that businesses face. This presentation shares insights on the principles and best practices for ensuring the resilience and security of your workload. Drawing on a real-life project from the HR industry, the various challenges will be demonstrated: data protection, self-healing, business continuity, security, and transparency of data processing. This systematized approach allowed to create a secure AWS cloud infrastructure that not only met strict compliance rules but also exceeded the client's expectations.

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