The crucial role of data pipelines in building strong GenAI apps [Q&A]
For GenAI to live up to its promise reliable flow of data is key. AI models are only as good as the data pipeline connections bringing in quality data.
Outdated connections mean more hallucinations and untrustworthy results with data engineers hopelessly trying to manually integrate hundreds of AI data feeds. We spoke to Rivery co-founder and CEO Itamar Ben Hemo to discuss why good data pipelines are key to success.
Why you might soon find yourself talking to adverts
We've probably all shouted at an advert on TV or muttered darkly at one that pops up when surfing the web, but how would you feel about ads you can actually converse with?
Communications company GMS has developed Generative Response Ads, a technology that enables consumers to engage in real-time conversations directly within ad spaces using AI.
Use of GenAI in development raises security concerns
Most developers (85 percent) and security teams (75 percent) have security concerns over relying on GenAI to develop software.
A report from Legit Security, based on a survey of over 400 security professionals and software developers across North America, finds 96 percent of security and software development professionals report that their companies use GenAI-based solutions for building or delivering applications.
Businesses turn to humans to combat AI threats
A new survey from HackerOne shows 67 percent of respondents believe an external, unbiased review of GenAI is the most effective way to uncover AI safety and security issues as AI red teaming gathers momentum.
Nearly 10 percent of security researchers now specialize in AI technology as 48 percent of security leaders consider AI to be one of the greatest risks to their organizations, according to the report -- based on data from 500 global security leaders, and more than 2,000 hackers on the HackerOne platform.
New solution for safe enterprise AI deployment
GenAI is set to drive significant productivity gains, leading to massive economic growth, but enterprises face the challenge of deploying GenAI systems at scale and safely connecting to data systems while ensuring proper controls and governance.
To address this Securiti is releasing Gencore AI, a first of its kind holistic solution to easily and quickly build safe, enterprise-grade GenAI systems, copilots and AI agents.
Gen AI adoption increases across key business functions
A new study reveals that 72 percent of business leaders report using Gen AI at least once a week, up from 37 percent in 2023.
The report by The Wharton School of the University of Pennsylvania, in collaboration with GBK Collective, shows a dramatic rise in generative AI adoption across key business functions, as enterprises move from cautious exploration to rapid integration.
AI expected to be the most important tech in 2025
A new study by the IEEE -- the world's largest technical professional organization -- focuses on on what are likely to be the most important technologies in 2025 along with future technology trends, including expectations for AI's market growth, benefits, uses, and skill sets.
The study surveyed over 350 CIOs, CTOs, IT directors, and other technology leaders in Brazil, China, India, the UK and US at organizations with more than 1,000 employees, it finds that 58 percent believe AI will be the most important tech next year, while 26 percent say cloud computing and 24 percent robotics.
Why safe use of GenAI requires a new approach to unstructured data management [Q&A]
Large language models generally train on unstructured data such as text and media. But most enterprise data security strategies are designed around structured data (data organized in traditional databases or formal schemas).
The use of unstructured data in GenAI introduces new challenges for governance, privacy and security that these traditional approaches aren't equipped to handle.
Uncovering GenAI's unsung heroes [Q&A]
There's no doubt that AI is seen as flavor of the month across many sectors at the moment. But how much of this is hype and how much genuine value?
We spoke to Martin Hawksey, collaboration engineer at Qodea, to discuss GenAI and the areas where GenAI is making a real difference, some of which you may not be aware of.
Attackers use GenAI to write malicious code
The latest threat insights report from HP Wolf Security has identified a new campaign using malware believed to have been written with the help of GenAI.
Analysis of the campaign, targeting French-speakers using VBScript and JavaScript, finds the structure of the scripts, comments explaining each line of code, and the choice of native language function names and variables are strong indications that the threat actor used GenAI to create the malware.
Generative AI in the legal sector [Q&A]
The use of generative AI isn't just confined to the tech sector, it's appearing in lots of other industries too in order to streamline operations and boost digital transformation efforts.
We spoke to Jay Madheswaran, CEO of Eve, to learn more about how GenAI is being used by legal firms and the challenges that adopting it can present.
GenAI tools don't increase coding efficiency
While AI is often touted as being the solution for all kinds of tasks, when it comes to developing software it seems that it may not always be improving things.
A new study from Uplevel suggests that today's GenAI-based developer tools don't tend to increase coding efficiency and can actually increase bug rates.
Druva launches natural language tool to help cybersecurity investigations
When investigating an incident to contain and remediate a threat, security teams need to understand complex attack patterns, such as malware gestation, score, and sprawl -- the answers to which all lie in the data and systems.
To help with this process Druva is releasing Dru Investigate, a GenAI-powered tool that guides data security investigations using a natural language interface.
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Dell and Red Hat collaborate to bring Linux AI workloads to PowerEdge servers
Dell Technologies and Red Hat have announced a partnership to enhance open-source AI workloads by bringing Red Hat Enterprise Linux AI (RHEL AI) to Dell PowerEdge servers. This collaboration positions RHEL AI as a preferred platform for deploying AI applications on Dell’s PowerEdge R760xa servers.
RHEL AI, designed as an AI-optimized operating system, aims to help organizations more easily develop, test, and run large language models (LLMs) for enterprise applications. By validating RHEL AI for AI workloads on Dell hardware, this partnership seeks to simplify the implementation of AI strategies while scaling IT infrastructure.
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