Remove application-security the-challenges-of-ai-security-begin-with-defining-it
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News alert: ACM TechBrief lays out risks, policy implications of generative AI technologies

The Last Watchdog

TechBrief: Generative AIbegins by laying out a core challenge: the rapid commercialization of GenAI poses multiple large-scale risks to individuals, society, and the planet that require a rapid, internationally coordinated response to mitigate. New York, NY, Sept. We see this ACM TechBrief as a first step in that direction.”

Risk 100
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What CIOs and CTOs should consider before adopting generative AI for application modernization

IBM Big Data Hub

Implementing generative AI can seem like a chicken-and-egg conundrum. In a recent IBM Institute for Business Value survey, 64% of CEOs said they needed to modernize apps before they could use generative AI. Organizations that have mastered hybrid cloud are well positioned to implement generative AI across the organization.

Cloud 88
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How to build a successful AI strategy

IBM Big Data Hub

Artificial intelligence (AI) is a transformative force. By giving machines the growing capacity to learn, reason and make decisions, AI is impacting nearly every industry, from manufacturing to hospitality, healthcare and academia. Without an AI strategy, organizations risk missing out on the benefits AI can offer.

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The Challenge of Bias in AI – Creating Ethical Guidelines

Thales Cloud Protection & Licensing

Artificial intelligence (AI) is becoming increasingly integral to information security. From the multitude of ways AI is used in business to creating smart cities and safeguarding transportation , AI impacts nearly every aspect of our lives. Such potential for bias highlights the need to create ethical guidelines for AI.

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Cybersecurity Outlook 2022: Third-party, Ransomware and AI Attacks Will Get Worse

eSecurity Planet

Third-party security, ransomware , artificial intelligence (AI) and decentralized finance (DeFi) are some of the threats you can expect to see more of this year – with the potential for far worse results than we’ve seen in the past. While many are dour, there are some optimistic views that suggest progress.

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LLM meets Malware: Starting the Era of Autonomous Threat

Security Affairs

Malware researchers analyzed the application of Large Language Models (LLM) to malware automation investigating future abuse in autonomous threats. We explored a potential architecture of an autonomous malware threat based on four main steps: an AI-empowered reconnaissances, reasoning and planning phase, and the AI-assisted execution.

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The business value of operating core insurance solutions on the cloud

IBM Big Data Hub

Although interest rates have increased at an unprecedented rate over the past year due to efforts by central banks to curb inflation, insurers are locked into low-yielding investments, and it will take several years for their investment yields to improve. Insurers want to shift from fixed to variable, “pay-as-you-go” operating costs.