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Security is dead: Long live risk management

CIO

As regulators demand more tangible evidence of security controls and compliance, organizations must fundamentally transform how they approach risk shifting from reactive gatekeeping to proactive enablement. They demand a reimagining of how we integrate security and compliance into every stage of software delivery.

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AI & the enterprise: protect your data, protect your enterprise value

CIO

This will require the adoption of new processes and products, many of which will be dependent on well-trained artificial intelligence-based technologies. Stolen datasets can now be used to train competitor AI models. This is an important element in regulatory compliance and data quality. Years later, here we are.

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Accelerate AWS Well-Architected reviews with Generative AI

AWS Machine Learning - AI

As systems scale, conducting thorough AWS Well-Architected Framework Reviews (WAFRs) becomes even more crucial, offering deeper insights and strategic value to help organizations optimize their growing cloud environments. In this post, we explore a generative AI solution leveraging Amazon Bedrock to streamline the WAFR process.

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Dulling the impact of AI-fueled cyber threats with AI

CIO

While LLMs are trained on large amounts of information, they have expanded the attack surface for businesses. From prompt injections to poisoning training data, these critical vulnerabilities are ripe for exploitation, potentially leading to increased security risks for businesses deploying GenAI.

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The Importance of Security and Compliance in Enterprise Applications

OTS Solutions

However, as more organizations rely on these applications, the need for enterprise application security and compliance measures is becoming increasingly important. Breaches in security or compliance can result in legal liabilities, reputation damage, and financial losses.

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CIOs are rethinking how they use public cloud services. Here’s why.

CIO

Increasingly, however, CIOs are reviewing and rationalizing those investments. The reasons include higher than expected costs, but also performance and latency issues; security, data privacy, and compliance concerns; and regional digital sovereignty regulations that affect where data can be located, transported, and processed.

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How to know a business process is ripe for agentic AI

CIO

Does [it] have in place thecompliance review and monitoring structure to initially evaluate the risks of the specific agentic AI; monitor and correct where issues arise; measure success; remain up to date on applicable law and regulation? The agent acts as a bridge across teams to ensure smoother workflows and decision-making, she says.

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