This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Stratoshark lets you look into systems at the application level, much like Wireshark lets you look at networks at the packet level,Gerald Combs, Stratoshark and Wireshark co-creator and director of open source projects at Sysdig, told Network World.It He emphasized that both things are important.
In a new report from Google's Threat Analysis Group, the researchers detail how commercial surveillance vendors particularly use spyware and target Google and Apple devices.
Fortinet has melded some of its previously available services into an integrated cloud package aimed at helping customers secure applications. Managing application security across multiple environments isn’t easy because each cloud platform, tool, and service introduces new layers of complexity.
Usability in application design has historically meant delivering an intuitive interface design that makes it easy for targeted users to navigate and work effectively with a system. Together these trends should inspire CIOs and their application developers to look at application usability though a different lens.
This whitepaper will help you understand: What contextual analytics can do to elevate the value of your application. Why contextual analytics is a game-changer for deeper insights and analysis How contextual analytics fuses user workflow and analytics together for seamless BI.
CompTIA recently upgraded its PenTest+ certification program to educate professionals on cybersecurity penetration testing with training for artificial intelligence (AI), scanning and analysis, and vulnerability management, among other things.
And with this announcement, the company has embedded it deeply into the Security Fabric to expand AI-driven threat detection and analysis, the company stated. The idea is to help security teams determine the intended use cases of AI applications, the training models they utilize, and where the data is being routed, the vendor stated.
CyberSeek is a data analysis and aggregation tool powered by a collaboration among Lightcast, a provider of global labor market data and analytics; NICE, a program of the National Institute of Standards and Technology focused on advancing cybersecurity education and workforce development; and IT certification and training group CompTIA.
MicroSlicing ensures application Quality of Service (QoS) features and guaranteed service level agreements (SLAs) over the wireless network, while Aerloc provides reliable service and policy enforcement for business-critical applications, according to Celona.
From drafting a stock trading program, to creating a SQL query to model data, there are practically no limits to the applications of the AI language model assistant. At ManageEngine, we have been working on our own AI-assistant, Zia.
New research from IBM finds that enterprises are further along in deploying AI applications on the big iron than might be expected: 78% of IT executives surveyed said their organizations are either piloting projects or operationalizing initiatives that incorporate AI technology.
The Zscaler ThreatLabz 2024 Encrypted Attacks Report examines this evolving threat landscape, based on a comprehensive analysis of billions of threats delivered over HTTPS and blocked by the Zscaler cloud. Zscaler eliminates this risk and the attack surface by keeping applications and services invisible to the internet.
The goal of the Kyndryl/Google Cloud service is to make it easier for organizations to utilize AI assistance to access and integrate mainframe-based data with cloud-based resources and combine that data with other information to build new applications, the companies stated.
With Gaudi 3 accelerators, customers can more cost-effectively test, deploy and scale enterprise AI models and applications, according to IBM, which is said to be the first cloud service provider to adopt Gaudi 3. IBM Cloud is broadening its AI technology services with Intel Gaudi 3 AI accelerators now available to enterprise customers.
Think your customers will pay more for data visualizations in your application? Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Five years ago they may have. But today, dashboards and visualizations have become table stakes. Brought to you by Logi Analytics.
Step 2: Understanding competitors Competitive analysis IT leaders must understand the competitive landscape to position their organization for success. Step 3: Current state analysis of IT IT landscape assessment IT leaders must evaluate their current technologies, processes, and capabilities.
The so-called AI Renewals Agent is an on-premise, AI-based application that Ciscos internal Customer Experience (CX) group will use to help retain and renew customers more quickly. The idea is to help streamline and accelerate the creation, deployment and management of generative AI-based applications for the enterprise, according to Cisco.
Google Cloud has partnered with database and mainframe modernization software provider mLogica to help enterprises modernize their mainframe applications. This allows enterprises to compare and validate refactored applications before completely shifting to the cloud.
Specifically, Cisco added more intelligence to its Duo access-protection software and introduced a new application called Business Risk Observability that can help enterprises measure the impact of security risks on their core applications. The company also enhanced its SASE offering by expanding its SD-WAN integration options.
Speaker: Daniel "spoons" Spoonhower, CTO and Co-Founder at Lightstep
However, this increased velocity often comes at the cost of overall application performance or reliability. In this talk, we’ll cover the fundamentals of distributed tracing and show how tracing can be used to: Accelerate root cause analysis and make alerts more actionable.
It affects the efficiency of the labor market, increases costs for candidates, and complicates the analysis of data by researchers and policy makers. He deployed the LLM BERT model supported by an advanced NLP algorithm to conduct deep linguistic analysis on jobseekers’ posts about their interviewing experiences. Enter Ghost Jobs.”
OpenTelemetry, or OTel, addresses a key pain point for network managers who must prevent network outages and maintain high levels of application performance across increasing complex and opaque multi-cloud environments. Logs are timestamps of events; analysis of logs can uncover errors or unpredictable behaviors.
Why IT/OT convergence is happening Companies want flexibility in how end users and business applications access and interact with OT systems. For example, manufacturers can pull real-time data from their assembly lines so that specialized analytics applications can identify opportunities for efficiency and predict disruptions to production.
IBM has rolled out the latest iteration of its mainframe, replete with AI technology designed to take data-intensive application support well into the future. AI use cases are growing , says IBM, which counts more than 250 for IBM Z including financial fraud detection, medical image analysis, and credit risk scoring.
These updates are important for monitoring todays IT environments, Sai says, as networks and applications become more complex. IT teams must be able to detect issues before they become major incidents.
As 2025 kicked off, I wrote a column about the network vendor landscape specifically, which networking players will step up and put their efforts into finding new applications with solid business benefits that could enable a network transformation. Its not an application, but an application architecture or model.
This involves monitoring the historical performance of the application and database to ensure that resources are not over-provisioned, which can lead to overhead costs. Monitoring resources with analytics helps obtain real-time insights into the health of the applications.
For businesses running complex AI workloads that require thousands of GPUs working together, this could translate to faster model training, more responsive AI applications, and more efficient use of expensive computing resources. Lightmatters approach could flatten this architecture.
Modern data architectures must be designed for security, and they must support data policies and access controls directly on the raw data, not in a web of downstream data stores and applications. It includes data collection, refinement, storage, analysis, and delivery. Application programming interfaces. Curate the data.
Two things play an essential role in a firm’s ability to adapt successfully: its data and its applications. Which is why modernising applications is so important, especially for traditional businesses – they need to keep pace with the challenges facing trade and commerce nowadays. That’s why the issue is so important today.
Kyndryl has taken the wraps off a suite of private cloud services designed for enterprise customers that want to rapidly deploy AI applications in production environments. The ultimate goal is to help enterprise customers build a managed infrastructure-as-a-service private cloud to develop and deploy production AI applications.
After all, a low-risk annoyance in a key application can become a sizable boulder when the app requires modernization to support a digital transformation initiative. Accenture reports that the top three sources of technical debt are enterprise applications, AI, and enterprise architecture.
This trend towards natural language input will spread across applications, making the UX more intuitive and less constrained by traditional UI elements. Traditionally, such an application might have used a specially trained ML model to classify uploaded receipts into accounting categories, such as DATEV.
Emmelibri Group, a subsidy of Italian publishing holding company Messaggerie Italiane, is moving applications to the cloud as part of a complete digital transformation with a centralized IT department. We’re an IT company that’s very integrated into the business in terms of applications, and we put innovation at the center.
Whether in process automation, data analysis or the development of new services AI holds enormous potential. But how does a company find out which AI applications really fit its own goals? AI consultants support companies in identifying, evaluating and profitably implementing possible AI application scenarios.
It will mean, in theory, that Morgan Stanley management can see analysis of every call made across the enterprise — often within a few minutes of that call’s completion. It is going to make their data analysis far better. Gaugenti said Morgan Stanley should be transparent about how this new application will protect client data.
Specialization: Some benchmarks, such as MultiMedQA, focus on specific application areas to evaluate the suitability of a model in sensitive or highly complex contexts. The better they simulate real-world applications, the more useful and meaningful the results are. They define the challenges that a model has to overcome.
The imperative for APMR According to IDC’s Future Enterprise Resiliency and Spending Survey, Wave 1 (January 2024), 23% of organizations are shifting budgets toward GenAI projects, potentially overlooking the crucial role of application portfolio modernization and rationalization (APMR). Employ AI and ML to assist in processes.
Obfuscation is becoming an important tactic for threat actors, and PDF malware disguises malicious URLs by encrypting them, hiding them in compressed streams or using hexadecimal representations which can also hinder automated analysis of email security solutions, IBM wrote.Of Ransomware attacks continue their scourge.
5 key findings: AI usage and threat trends The ThreatLabz research team analyzed activity from over 800 known AI/ML applications between February and December 2024. The surge was fueled by ChatGPT, Microsoft Copilot, Grammarly, and other generative AI tools, which accounted for the majority of AI-related traffic from known applications.
SAP’s award-winning FioriDAST project mimics user and attacker behavior to safeguard its web applications. While hackers target companies of all sizes, a tech giant like SAP may have a bigger bull’s eye on its back because of the sensitive data it manages and the critical role its ERP applications play in global businesses.
The power of modern data management Modern data management integrates the technologies, governance frameworks, and business processes needed to ensure the safety and security of data from collection to storage and analysis. It enables organizations to efficiently derive real-time insights for effective strategic decision-making.
IT teams fail at rewriting applications on the first try An important element of IT modernization is modernizing legacy applications to work more efficiently, sometimes in new environments. The trouble is that application rewrite projects have a high failure rate.
The application was first shown in beta at the 2024 Tour Championship and has seen several updates on its way to being rolled out for all to use. This update stems from the PGA Tours Fan Forward Initiative , which found that younger fans (aged 18-34) want more detailed stats and analysis.
We organize all of the trending information in your field so you don't have to. Join 83,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content