manage Security Related Topics 
Forrester IT
JANUARY 17, 2024
Securing technology is hard. And it depends on risk management. And it depends on risk management. It’s another challenge entirely when that technology operates off our planet. For years, […]
CTOvision
AUGUST 6, 2021
US cybersecurity startup Elevate Security (Elevate) has launched an attack surface management platform that uses a customized and automated response to employee risk throughout an organization to overcome the unaddressed problems caused due to human errors.
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Anoop
JANUARY 22, 2024
Subscribe to YouTube Channel [link] and Facebook Page to get the latest updates [link] The post Intune Audit Security Group Management Policy appeared first on HTMD Community Blog #1 Modern Device Management Guides by Abhinav Rana. Enjoy reading it.
Forrester IT
FEBRUARY 13, 2024
I am starting my third Forrester Wave™ evaluation for the market that used to be called the Security Awareness & Training (SA&T) market. We’ve been calling it Human Risk Management when advising clients the last few years, but finally reached the decision to formally retire the SA&T nomenclature.
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Managing Delete Heavy Workloads. Overlooking Security Considerations. However, many developers and administrators who are new to this NoSQL database often encounter several challenges that can impact its performance. The topics covered include: Using Cassandra as if it were a Relational Database. Running Unoptimized Queries.
IT Toolbox
JANUARY 23, 2024
An information security management system (ISMS) is a structured approach to protect data, manage risks, and ensure cybersecurity compliance. The post What Is an Information Security Management System (ISMS)? Meaning, Working, Benefits, and Best Practices appeared first on Spiceworks.
Forrester IT
MARCH 14, 2023
As part of Forrester’s research into securing what you sell, we have long advocated for security leaders to overlay their own activities with the rest of the product team and to engage in the product lifecycle before the product has even been defined.
Advertiser: Data Robot
Machine Learning Operations (MLOps) allows organizations to alleviate many of the issues on the path to AI with ROI by providing a technological backbone for managing the machine learning lifecycle through automation and scalability. How can MLOps tools deliver trusted, scalable, and secure infrastructure for machine learning projects?
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However, they often struggle with increasingly larger data volumes, reverting back to bottlenecking data access to manage large numbers of data engineering requests and rising data warehousing costs. In an effort to be data-driven, many organizations are looking to democratize data.
Speaker: Shlomo Bielak, CTO, Benchmark Corp
Shifting security left to the earliest part of development is currently in the spotlight in the developer world. What teams are now discovering is, this approach results in misdirected ownership for developers and a frustrated security team. In the current climate, we cannot afford to let security implementations falter.
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Understanding your data security needs is tough enough, but what can be even more difficult is choosing the right software to fit your company. Key management system. User authentication and advanced security factors. Fortunately, there is a solution. Enterprise features. Flexibility and scalability.
Speaker: Kevin Goldsmith, Chief Technology Officer at Anaconda | Peyman Pouryekta, CEO and Technology Advisor | Bob Webber, VP Product Flow Optimization, Construx
In order to successfully instruct and manage their teams, they must know how to evaluate tools, advocate for resources, and allocate them to the appropriate teams. This can be challenging, as engineering is often seen as a cost center, making it difficult to gain management buy-in for strategic investments.
Speaker: Mike Cramer, Director of HIPAA & Data Security at The Word & Brown Companies
If your organization stores data and is connected to the Internet, it is not a matter of “if” a cyber-security incident will happen, but “when.” It takes an organizational mindset which realizes that data privacy and security is a continuous, evolving process, as opposed to a “fire-and-forget” set of steps.
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Unfortunately, data replication, transformation, and movement can result in longer time to insight, reduced efficiency, elevated costs, and increased security and compliance risk. How a next-gen data lake can halt data replication and streamline data management. How replicated data increases costs and impacts the bottom line.
Advertiser: Data Robot
Our eBook covers the importance of secure MLOps in the four critical areas of model deployment, monitoring, lifecycle management, and governance. AI operations, including compliance, security, and governance. AI ethics, including privacy, bias and fairness, and explainability.
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