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Sweat the small stuff: Data protection in the age of AI

CIO

As concerns about AI security, risk, and compliance continue to escalate, practical solutions remain elusive. From the discussions, it is clear that today, the critical focus for CISOs, CIOs, CDOs, and CTOs centers on protecting proprietary AI models from attack and protecting proprietary data from being ingested by public AI models.

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Cybersecurity Snapshot: AI Security Roundup: Best Practices, Research and Insights

Tenable

In this special edition, we’ve selected the most-read Cybersecurity Snapshot items about AI security this year. ICYMI the first time around, check out this roundup of data points, tips and trends about secure AI deployment; shadow AI; AI threat detection; AI risks; AI governance; AI cybersecurity uses — and more.

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IT leaders see big business potential in small AI models

CIO

Small language models (SLMs) are giving CIOs greater opportunities to develop specialized, business-specific AI applications that are less expensive to run than those reliant on general-purpose large language models (LLMs). Microsofts Phi, and Googles Gemma SLMs.

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Shaking Up Security — The Power of AI-Native SOCs

Palo Alto Networks

{{interview_audio_title}} 00:00 00:00 Volume Slider 10s 10s 10s 10s Seek Slider Like legacy security tools, such as traditional firewalls and signature-based antivirus software, organizations that have more traditional (and potentially more vulnerable) SOCs are struggling to keep pace with the increasing volume and sophistication of threats.

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How MCP can revolutionize the way DevOps teams use AI

CIO

Imagine, for example, asking an LLM which Amazon S3 storage buckets or Azure storage accounts contain data that is publicly accessible, then change their access settings? Or having an LLM identify documents in an Amazon DynamoDB database that havent been updated in over a year and delete or archive them.

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3 principles for regulatory-grade large language model application

CIO

In recent years, we have witnessed a tidal wave of progress and excitement around large language models (LLMs) such as ChatGPT and GPT-4. Moreover, LLMs should strive for transparency in their methodologies, showcasing how they arrived at a given conclusion.

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AI in the Enterprise: 5 key findings of AI usage and threat trends

CIO

Artificial intelligence (AI) has rapidly shifted from buzz to business necessity over the past yearsomething Zscaler has seen firsthand while pioneering AI-powered solutions and tracking enterprise AI/ML activity in the worlds largest security cloud. Enterprises blocked a large proportion of AI transactions: 59.9%