Gartner: Enterprises need to focus on AI priorities and readiness

AI technologies including generative AI and large language models are rapidly developing into business partners rather than just tools for rewriting content or pumping out cool recipes, Gartner analysts told the more than 8,000 IT executives at its IT Symposium/Xpo in Orlando, Florida, this week.

“GenAI is not just a technology or just a business trend. Machines are evolving from being our tools to becoming our teammates,” said Mary Mesaglio, distinguished vice president analyst at Gartner. “We are moving from what machines can do for us to what machines can be for us.”  

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Networking and security teams tasked to converge, collaborate

Cloud computing, hybrid work, and remote connectivity are amplifying the need for networking and security teams to be in lockstep. Increasingly, enterprises are considering consolidating the two groups – or at least boosting collaboration between teams, according to research from Cato Networks.

In a recent survey of 1,694 IT leaders worldwide, 44% of respondents said networking and security teams “must work together,” and another 30% said they “must have shared processes.” Another 8% said they’re working to create one networking and security group.

The goal of shared processes could be a hefty challenge for some organizations. In the Cato Networks survey, 12% of respondents reported that their networking and security teams either have “turf wars or struggle working together,” and another 34% said they “occasionally have problems working together.” The remaining 54% reported that the two teams work well together now.

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Gartner: Top strategic technology trends for 2024

AI and intelligent application-development trends will impact the enterprise the most in 2024, says research firm Gartner, which unveiled its annual look at the top strategic technology trends that organizations need to prepare for in the coming year.

“A lot of the trends are around AI development, but also in protecting the investment that organizations have already made. For example, they’ve invested in machine learning, natural language. And there's a ramp up in software engineering right now where people are building more things because they have access to that data and the development tools are getting better,” said Chris Howard, distinguished vice president analyst and chief of research, during his presentation of this year's trends list at Gartner’s flagship IT Symposium/Xpo conference in Orlando, Florida.

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IBM: Treat generative AI like a burning platform and secure it now

In the rush to deploy generative AI, many organizations are sacrificing security in favor of innovation, IBM warns.

Among 200 executives surveyed by IBM, 94% said it’s important to secure generative AI applications and services before deployment. Yet only 24% of respondents’ generative AI projects will include a cybersecurity component within the next six months. In addition, 69% said innovation takes precedence over security for generative AI, according to the IBM Institute for Business Value’s report, The CEO's guide to generative AI: Cybersecurity.

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Fortinet secures campus networking with high-end switches

Fortinet has expanded its campus network portfolio with two new switches that feature integration with Fortinet’s security services and AIops management tool.

The FortiSwitch 600 is a multi-gigabit secure campus access switch that supports up to 5GE access and 25GE uplinks. The FortiSwitch 2000 is a campus core switch designed to support larger, more complex campus environments by aggregating high-performance access switches, including the FortiSwitch 600.

The new switches are integrated with Fortinet’s FortiGuard AI-Powered Security Services and FortiAIOps management tool, which lets customers utilize security and operations features such as malware protection, device profiling and role-based access control.

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IBM leans into AI for managed security services

IBM is rolling out AI-based managed services that promise to help network and security operations teams more quickly and effectively respond to enterprise cyber threats.

Managed by the IBM Consulting group, the Threat Detection and Response (TDR) Services offering promises 24x7 monitoring, investigation, and automated remediation of security alerts from existing security tools as well as cloud, on-premises, and operational technology systems utilizing the enterprise network. The services can integrate information from more than 15 security event and incident management (SIEM) tools and multiple third-party endpoint and network detection and response packages, for example.

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Generative AI set to reshape SD-WAN market

There are baseline security and connectivity requirements for any SD-WAN service, and then there are optional, emerging product capabilities that indicate how the market is maturing and customer requirements are expanding. AI networking support – such as for proactive remediation and incident management – is one of those optional capabilities, according to Gartner, which just released its latest analysis of the SD-WAN vendor landscape.

There’s a trend toward AI capabilities that enable networking decisions to be made with little or no human intervention. These capabilities can help enterprises to streamline network design, configuration and ongoing management as well as increase agility and improve performance, according to Gartner. The research firm predicts that by 2026, generative AI technology embedded in SD-WAN offerings will be used for 20% of initial network configuration, up from near zero in 2023.

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