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But when it comes to cybersecurity, AI has become a double-edged sword. While poised to fortify the security posture of organizations, it has also changed the nature of cyberattacks. Take for instance largelanguagemodels (LLMs) for GenAI. Data privacy in the age of AI is yet another cybersecurity concern.
For others, it may simply be a matter of integrating AI into internal operations to improve decision-making and bolster security with stronger fraud detection. With the rise of AI and data-driven decision-making, new regulations like the EU ArtificialIntelligence Act and potential federal AI legislation in the U.S.
Unsurprisingly, this is leading to staff frustration and burnout, dissatisfied end users and persistent security vulnerabilities. As many as 56% of IT workers 1 say the help desk ticket volume is up, according to a recent survey by software vendor Ivanti. Ivanti’s service automation offerings have incorporated AI and machinelearning.
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.
Whether it’s a financial services firm looking to build a personalized virtual assistant or an insurance company in need of ML models capable of identifying potential fraud, artificialintelligence (AI) is primed to transform nearly every industry. Before we go further, let’s quickly define what we mean by each of these terms.
According to a September survey of IT decision makers by Dell, 76% say gen AI will have a “significant if not transformative” impact on their organizations, and most expect to see meaningful results within the next 12 months. Dig Security addresses this possibility in two ways. Dig Security isn’t alone.
ArtificialIntelligence (AI), a term once relegated to science fiction, is now driving an unprecedented revolution in business technology. research firm Vanson Bourne to survey 650 global IT, DevOps, and Platform Engineering decision-makers on their enterprise AI strategy. Nutanix commissioned U.K.
The main commercial model, from OpenAI, was quicker and easier to deploy and more accurate right out of the box, but the open source alternatives offered security, flexibility, lower costs, and, with additional training, even better accuracy. Right now, the company is using the French-built Mistral open source model.
Just days later, Cisco Systems announced it planned to reduce its workforce by 7%, citing shifts to other priorities such as artificialintelligence and cybersecurity — after having already laid off over 4,000 employees in February.
While the 60-year-old mainframe platform wasn’t created to run AI workloads, 86% of business and IT leaders surveyed by Kyndryl say they are deploying, or plan to deploy, AI tools or applications on their mainframes. The survey is cementing the fact that the IT world is hybrid,” she says. “The
In particular, it is essential to map the artificialintelligence systems that are being used to see if they fall into those that are unacceptable or risky under the AI Act and to do training for staff on the ethical and safe use of AI, a requirement that will go into effect as early as February 2025.
Hes seeing the need for professionals who can not only navigate the technology itself, but also manage increasing complexities around its surrounding architectures, data sets, infrastructure, applications, and overall security. Weve been innovating with AI, ML, and LLMs for years, he says. Other surveys found a similar gap.
Not the type to be satisfied with the status quo, they have set big goals for themselves in the upcoming year, according to countless surveys of IT execs. I am excited about the potential of generative AI, particularly in the security space, she says. CIOs are an ambitious lot.
Artificialintelligence is an early stage technology and the hype around it is palpable, but IT leaders need to take many challenges into consideration before making major commitments for their enterprises. A Gartner survey of over 300 CIOs found that on average, only 35% of their AI capabilities will be built by their IT teams.
Artificialintelligence and machinelearning Unsurprisingly, AI and machinelearning top the list of initiatives CIOs expect their involvement to increase in the coming year, with 80% of respondents to the State of the CIO survey saying so. Other surveys offer similar findings.
One is going through the big areas where we have operational services and look at every process to be optimized using artificialintelligence and largelanguagemodels. And the second is deploying what we call LLM Suite to almost every employee. “We’re doing two things,” he says.
Nearly nine in 10 business leaders say their organizations data ecosystems are ready to build and deploy AI at scale, according to a recent Capital One AI readiness survey. But 84% of the IT practitioners surveyed, including data scientists, data architects, and data analysts, spend at least one hour a day fixing data problems.
Intro: Time was, a call center agent could be relatively secure in knowing who was at the other end of the line. And if they werent, multi-factor authentication (MFA), answers to security questions, and verbal passwords would solve the issue. How fraudsters use audio deepfakes 1. Often, bots are involved in this process.
CIOs rank AI as a top priority alongside cybersecurity for IT departments. However, barriers such as adoption speed and security concerns hinder rapid AI integration, according to a new survey. There is a sense of urgency to leverage AI effectively, but adoption speed and security challenges are hindering efforts.
According to IDCs July 2024 CIO Sentiment Survey , 26% of CIOs identify recruiting, retaining, and upskilling talent as their biggest challenge to success. Take cybersecurity, for example. Only 8% of organizations have a relatively easy time finding qualified cybersecurity experts.
In the latest McKinsey Global Survey on AI, 65% of participants said their companies regularly used AI, a dramatic increase in a very short period. However, it is also becoming a powerful tool for cybercriminals, raising the stakes for OT security.
The combination of AI and search enables new levels of enterprise intelligence, with technologies such as natural language processing (NLP), machinelearning (ML)-based relevancy, vector/semantic search, and largelanguagemodels (LLMs) helping organizations finally unlock the value of unanalyzed data.
Ninety percent of CIOs recently surveyed by Gartner say that managing AI costs is limiting their ability to get value from AI. In many cases, using an LLM for simple AI tasks, such as transcribing and translating, can be expensive when cheaper tools are available, LeHong said during a recent webcast.
In a survey of 2,300 IT decision makers that IBM released in December, 47% say theyre already seeing ROI from their AI investments, and 33% say theyre breaking even on AI. According to experts and other survey findings, in addition to sales and marketing, other top use cases include productivity, software development, and customer service.
This has led to problematic perceptions: almost two-thirds (60%) of IT professionals in the Ivanti survey believing “Digital employee experience is a buzzword with no practical application at my organization.” IT professionals remain extremely skeptical, in part because they are being left out of the benefits of DEX.
Nate Melby, CIO of Dairyland Power Cooperative, says the Midwestern utility has been churning out largelanguagemodels (LLMs) that not only automate document summarization but also help manage power grids during storms, for example. IDC also surveyed IT leaders on their build vs. buy equations for AI.
Deloitte surveyed 2,773 director- to C-suite-level respondents experienced with AI, piloting, or implementing gen AI for the Q4 survey between July and September 2024. In the Q1 survey, 28% of respondents cited it as a barrier, but in this Q4 survey, that figure climbed 10 percentage points to 38%.
But released the next day, the 2023 Gartner CIO and Technology Executive Survey revealed that EMEA-based CIOs expect IT budgets to increase 4.4% But released the next day, the 2023 Gartner CIO and Technology Executive Survey revealed that EMEA-based CIOs expect IT budgets to increase 4.4% global inflation rate. global inflation rate.
More than three in five CIOs surveyed by Salesforce say they’re expected to know more about AI than they do, potentially leading to massive and costly deployment mistakes. Under pressure to deploy AI within their organizations, most CIOs fear they don’t have the knowledge they need about the fast-changing technology.
Focused on digitization and innovation and closely aligned with lines of business, some 40% of IT leaders surveyed in CIO.com’s State of the CIO Study 2024 characterize themselves as transformational, while a quarter (23%) consider themselves functional: still optimizing, modernizing, and securing existing technology infrastructure.
Networking and cybersecurity firm Versa today announced that it raised $120 million in a mix of equity and debt led by BlackRock, with participation from Silicon Valley Bank. Versa’s large round suggests that, despite the market downturn, VCs haven’t lost faith in cybersecurity vendors yet. billion in 2021).
Reliability and security is paramount. These narrow approaches also exacerbate data quality issues, as discrepancies in data format, consistency, and storage arise across disconnected teams, reducing the accuracy and reliability of AI outputs. Without the necessary guardrails and governance, AI can be harmful.
In fact, EY’s 202 4 Work Reimagined Survey found that Generative AI (GenAI) adoption skyrocketed from 22% in 2023 to 75% in 2024. According to a recent Cloudera survey , just over a quarter (26%) of IT decision-makers said trusted data was a challenge to implementing AI within their organizations.
Biotech firms widely use AI and machinelearning to reduce R&D spending and bring products to market faster, but “the bigger question for investors is getting a better understanding of what exactly AI is attempting to model and predict,” says Shaq Vayda, principal at Lux Capital.
Veriti, a platform for unifying cybersecurity infrastructure, today emerged from stealth with $18.5 Veriti’s launch comes as VCs continue to show enthusiasm for cybersecurity startups despite the generally unfavorable funding climate. And the global cybersecurity market is projected to be worth over $500 billion by 2030.
As Arnold Schwarzenegger commented, “A lot of people are worried on artificialintelligence; I’m more worried about basic stupidity.” Returns on IT investments must be atomized to the individual department, stakeholder, and employee level. Stakeholders need to be made aware of the value they are getting from IT.
Protecting these ever-increasing volumes of data is a high priority, and while there are many different types of cybersecurity threats to enterprise data, ransomware dominates the field. At the top of the cybersecurity risk chart is ransomware attacks. Organizations will only be as safe as their identities are secured.”
Artificialintelligence is a on everyone’s lips at the moment, “and at the FTC, one thing we know about hot marketing terms is that some advertisers won’t be able to stop themselves from overusing and abusing them.” ” Given the renewed interest, “for companies where AI was previously No.
Many of the AI use cases entrenched in business today use older, more established forms of AI, such as machinelearning, or don’t take advantage of the “generative” capabilities of AI to generate text, pictures, and other data. Many AI experts say the current use cases for generative AI are just the tip of the iceberg.
Nine of 10 CIOs surveyed by Gartner late last year expressed concerns that managing AI costs was limiting their ability to get value from AI. Over 90% of those surveyed said investments in AI and data were top priorities. The company used the sale to reduce debt and to focus on innovation in cloud, security, and AI markets, it said.
In especially high demand are IT pros with software development, data science and machinelearning skills. IDCs Sustainability Readiness Survey 2024 shows that the top 2 areas of ESG/sustainability-related investment for organizations are IT infrastructure efficiency assessments and investments (cited by 41.9%
And get the latest on cloud security, SMBs' MFA use and the CIS Benchmarks. Document the secure baseline configurations for all IT/OT systems. Secure internet-facing devices. Plus, a new guide says AI system audits must go beyond check-box compliance. Meanwhile, a report foresees stronger AI use by defenders and hackers in 2025.
Seeking to bring greater security to AI systems, Protect AI today raised $13.5 Protect AI claims to be one of the few security companies focused entirely on developing tools to defend AI systems and machinelearningmodels from exploits. What sort of problematic elements might an AI project notebook contain?
No matter what your newsfeed may be, it’s likely peppered with articles about the wonders of artificialintelligence. It’s called AIOps, ArtificialIntelligence for IT Operations: next-generation IT management software. AIOps intelligence points you to the cause and spells out a recommendation. And rightly so.
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