Who will win the battle of open vs closed AI? [Q&A]
Closed AI products like Bard and ChatGPT (ironically from OpenAI) have already delivered a practical, powerful chatbot experience and are being employed by many businesses.
Open AI by contrast is still in its early stages and has not seen wide adoption. We spoke to Mike Finley, CTO and co-founder of AnswerRocket, to find out the differences between the two and how they're set to develop.
Enterprises struggling with more vulnerabilities than they can handle
According to new research 82 percent of companies report an increase in the gap between the number of vulnerabilities/exposures in their environment and their ability to remediate them.
The 2024 State of Security Posture Survey from XM Cyber is based on a survey of 300 CISOs and security decision-makers from large organizations in the US and UK, and shows 62 percent of security and IT teams actively engage in the remediation of exposures or vulnerabilities, handling an average of 12 per week.
Organizations don't know how to address software supply chain security
Organizations are struggling to keep up with vulnerabilities amid software supply chain complexity, with more than 40 percent still in reactive mode according to a new report from Slim.AI.
The 2023 Container Report, based on a survey conducted with Enterprise Strategy Group, shows few organizations know exactly how to address security in the upstream dependencies of the applications and the containers they run in production.
Three questions enterprise leaders are asking about AI
Many leaders have been extremely aggressive about their AI strategies this year. However, despite the buzz generated by these technologies, most leaders are still scratching their heads trying to brainstorm real, practical ways to implement AI.
I’ve identified three common questions from leaders about AI for the enterprise and answered them with pragmatic guidance on the steps they can take today to make the most of these innovative technologies.
Why not all AI is created equal and how the wrong choice could be hurting your business [Q&A]
AI seems to be everywhere at the moment. But despite the fact that it has become ubiquitous, it isn't all the same.
Steve Benton, VP of threat research for Anomali, talked to us about why not all AI is equal and what businesses need to consider to ensure they get the most from the technology.
Why enterprise networks need to move to an as-a-service model [Q&A]
For years, the enterprise has built bespoke networks to connect all company resources. These networks were slow to build, but once built did not change much.
That's changing as networks become more complex and dynamic. Workers are highly distributed, edge computing has grown, most enterprises now connect to multiple clouds, and connecting to partners and customers is increasingly common.
Navigating generative AI adoption to minimize risks and maximize benefits in the workplace [Q&A]
Numerous businesses have embraced generative AI technology to enhance their operational efficiency, boost productivity and foster innovative ideas.
However, it is important to be aware of the potential legal and financial consequences associated with the use of ChatGPT and similar AI systems. We spoke to Sujay Rao, CPO at Sirion to find out more.
The evolution of open source in the enterprise [Q&A]
Open source software has been around for decades, it's thriving, effective and disrupting in the enterprise more than ever.
We talked to, Cédric Gégout, VP product management at Canonical, to discuss the evolution of open source in the enterprise and protecting its fundamentals for continued success.
More integration of LLMs, a switch to private clouds and more emphasis on machine identity -- enterprise IT predictions for 2024
Enterprises are major users of technology and it impacts on most areas of their operation. The big challenges in recent years have come from the switch to remote and hybrid working, and new technologies like generative AI.
So what can we expect enterprise IT to face in 2024? Here are some expert views.
How to build a successful data lakehouse strategy [Q&A]
The data lakehouse has captured the imagination of modern enterprises looking to streamline their architectures, reduce cost and assist in the governance of self-service analytics.
From data mesh support to providing a unified access layer for analytics and data modernisation for the hybrid cloud, it offers plenty of business cases, but many organizations are unsure where to start building one.
Why open source is key to modernizing the enterprise -- without ditching the mainframe [Q&A]
Many large enterprises still rely heavily on mainframes to offer a reliable and secure basis for their systems.
But as digital transformation efforts gain pace, developers are eyeing frameworks that can boost their modernization efforts. We spoke to Phil Buckellew, president of infrastructure modernization at Rocket Software, to find out how open source software can bridge the divide between modern applications and mission-critical mainframe infrastructure.
'Composite AI' could be key to successful artificial intelligence in the enterprise
New research shows that businesses are increasing their investments in AI across many areas, but there are challenges and risks that they need to manage.
The study of 1,300 tech leaders from Dynatrace shows 98 percent are concerned that generative AI could be susceptible to unintentional bias, error, and misinformation. In addition 95 percent are concerned that using generative AI to create code could result in leakage and improper or illegal use of intellectual property.
How organizations can get a handle on cloud security [Q&A]
As cloud-based enterprises continue to grow, the security threats in the cloud grow with them. Organizations operate in complex, multilayered environments that leave security teams scrambling to protect all of their organization's assets and resources. In fact, they may not even be aware of all of them.
What are the biggest risks they face today? And how can organizations mitigate their vulnerabilities?
Only 19 percent of manufacturing leaders are confident of their cyber defenses
New research into the manufacturing threat landscape from Trustwave finds that just 19 percent of manufacturing industry leaders are confident in their cyber defense mechanisms.
The research documents the attack flow utilized by threat groups, exposing their tactics, techniques, and procedures. From email-borne malware to the exploitation of SMB and DCOM protocols for lateral movement, these persistent threats pose significant risks to the manufacturing sector.
Cisco launches AI security assistant for enterprises
As cyberattacks continue to evolve so defenses need to change to keep up. In many cases that means adopting AI.
Enterprise networking and security company Cisco is the latest to embrace this with launch of Cisco AI Assistant for Security.
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