techradar.pro, Tuesday, February 17th, 2026
AI Models Can't Fully Understand Security - And They Never Will
The fundamental limits of LLM understanding and what this means for secure software development
more →
Back Issues/Search Home → Archive → Popular →
All sections ›
Archive
AI — Archive
1,980 articles · page 9 of 40
RTInsights, Tuesday, February 17th, 2026
Why Intelligence Without Authority Cannot Deliver Enterprise Value
Enterprises have built intelligence layers that can observe, predict, and recommend, but they have stopped short of allowing AI to execute decisions end-to-end. Here is what's needed to overcome this.
more →
HPCwire, Tuesday, February 17th, 2026
How To Get Ahead Of Shadow AI In 2026
You can't manage or protect what's hidden. In 2026, AI is moving from an experimental investment to a core operational capability. Yet many organizations are discovering that their greatest AI risk isn't technical complexity or model performance, it's shadow AI.
more →
CIO, Tuesday, February 17th, 2026
AI In Customer Service: Not The Cost-Saver You Think
Is artificial intelligence a job killer? Not for customer support, Gartner says.
more →
AITHORITY, Tuesday, February 17th, 2026
The Real AI Bottleneck Is Business-Consumable Data
Enterprises are investing heavily in AI. Models continue to improve, experimentation budgets are growing, and executive attention has shifted toward AI-first strategies.
more →
techradar.pro, Monday, February 16th, 2026
Confronting AI's Data Privacy Paradox
Traditional infrastructure is struggling to keep up with AI's data privacy demands
more → Security Boulevard, Friday, February 13th, 2026
AI Governance. When AI Becomes An Identity.
AI didn't come with a rollout plan; it crept in unnoticed. Someone turned on a copilot in a finance or CRM application, an IT team tested an agent on a non-production system that still contained real audit data, or a regional team started using an AI assistant to push invoices and approvals faster, all without going through central access governance.
more →
siliconANGLE, Friday, February 13th, 2026
Six Shifts That Will Make Or Break Enterprise AI
Ask a room full of chief information officers how far along they are with artificial intelligence and you will hear the same story repeatedly: Many proofs of concept, a handful of production deployments, and a few impressive wins. Most enterprises treat AI as a series of projects rather than fundamental shift in how work gets done.
more →
The New Stack, Friday, February 13th, 2026
Why 40% Of AI Projects Will Be Canceled By 2027 (And How To Stay In The Other 60%)
Gartner predicts 40% of AI programs will be canceled by 2027. Use Kong to unify speed, cost, and governance to win the agentic AI race.
more →
The New Stack, Friday, February 13th, 2026
How To Ground AI Agents In Accurate, Context-Rich Data
Companies are eager to deploy AI agents, but many hit a wall when faced with messy, noisy data. The solution isn't less data, but better access.
more → Analytics Insight, Thursday, February 12th, 2026
How To Fall In Love With AI : A Guide To Embracing The Future
How to Fall in Love with AI and Embrace the Future with Confidence
more →
The Next Platform, Wednesday, February 11th, 2026
Only A Few AI Platforms Can Survive
It does not happen very often in the history of business that an orthogonal product is invented that almost immediately doubles the revenue pool of a market and has the prospect of tripling it over the next handful of years. But that is precisely what GenAI has done for the information technology sector.
more →
techradar.pro, Wednesday, February 11th, 2026
Why 2026 Is The Year AI Finally Understands The Work Behind The Work
For most of us, the technology we use at work has followed a familiar rhythm. The web opened the door to limitless information, mobile devices freed us from the confines of our desks and cloud software allowed every team to build its own ecosystem of specialized tools.
more → CIO, Tuesday, February 10th, 2026
Shadow AI Practices: A Wakeup Call For Enterprises
While executives talk AI strategy, shadow agents are already inside the enterprise, quietly rewriting your risk profile faster than policies can keep up.
more → ComputerWeekly, Tuesday, February 10th, 2026
Second Ever International AI Safety Report Published
More than 100 artificial intelligence experts have produced the second international AI safety report ahead of a summit in India, outlining a high degree of uncertainty about the development and risks of AI
more →
Analytics Insight, Monday, February 9th, 2026
7 Best AI Engineering Intelligence Platforms In 2026
Engineering organizations have never lacked data. They lack clarity.
more → Analytics Insight, Monday, February 9th, 2026
Is AI Really Taking Over Robotics In 2026?
How AI Is Enhancing Robotics Without Replacing Hardware
more → Techradar.pro, Monday, February 9th, 2026
How To Take AI From Pilots To Deliver Real Business Value
AI is no longer just experimental technology; it has become a competitive advantage for organizations. Across industries, leaders are exploring the transformative possibilities of agentic AI, from improving customer experience, cutting costs and freeing up teams for higher-value work.
more → SC Media, Friday, February 6th, 2026
Shadow AI Is The New Shadow IT, And Most Security Teams Are Flying Blind
Over 14,000 Ollama server instances are publicly accessible on the internet right now. According to a recent Cisco analysis, 20% of these actively host models susceptible to unauthorized access. BankInfoSecurity separately reported discovering more than 10,000 Ollama servers with no authentication layer - the result of hurried AI deployments by developers under pressure to deliver.
more →
Tuesday, February 24th, 2026: 2:00 PM to 3:00 PM
AI-Powered IT Service Desks: What's Next for ITSM (Feb. 24th)
Learn how forward-thinking organizations are using AI to reduce ticket volume, accelerate resolution times, and improve service experiences without increasing headcount. Gain clarity on where to focus your efforts and how to take meaningful next steps toward an AI-driven service desk.
more →
SC Media, Thursday, February 5th, 2026
Five Control Domains That Make AI Frameworks Effective
Every major cloud and data platform now publishes guidance on how organizations should secure artificial intelligence (AI). From Google's Secure AI Framework (SAIF) and Amazon Web Services' CAF-AI and Generative AI best practices to Microsoft's Secure AI and Responsible AI standards, enterprises are surrounded by frameworks.
more → CIO, Thursday, February 5th, 2026
10 AI Predictions For 2026
Last year, we saw the integration of gen AI into everything, the rise of AI agents, and the explosion of vibe computing. As this year gathers pace, we'll see agentic AI move from pilots into production, the emergence of AI payments, and AI redefine how we think of user interfaces.
more → CXDIVE, Wednesday, February 4th, 2026
AI Is Saving Customer Support Teams Time, Survey Finds
Other benefits include scaling support without growing headcount and reduced cost to serve, according to an Intercom survey.
more →
tech.co, Wednesday, February 4th, 2026
Gartner: Tighten Up AI Governance Or Face The Consequences
Gartner has published its cybersecurity predictions for 2026 - and companies need to tighten up their AI agent oversight.
more →
techradar.pro, Tuesday, February 3rd, 2026
It's Time To Demand AI That Is Safe By Design': What AI Experts Think Will Matter Most In 2026
What to look out for over the next year, according to experts
more → CXDIVE, Tuesday, February 3rd, 2026
As Agentic AI Ascends, Companies Are Grappling With Control
The rise of AI agents could put up barriers between customers and brands, leaving leaders to ponder how they can build loyalty and collect customer data in a new environment.
more → CIO, Tuesday, February 3rd, 2026
5 Key Questions About The CIO AI Agenda In 2026
Many CIOs anticipated the AI conversation evolving from experimentation to financial responsibility. The shift is now taking place.
more → InformationWeek, Monday, February 2nd, 2026
What Does Trustworthy AI Look Like In 2026?
CIOs and CISOs ask AI vendors tougher questions and keep a closer eye on these tools to ensure they deliver on their promised potential.
more →
infoQ, Monday, February 2nd, 2026
Why Most Machine Learning Projects Fail To Reach Production
This article is a summary of my talk at QCon San Francisco 2024. For the past decade, I have worked as an applied scientist and machine learning engineer across multiple domains, including social media, fintech, and productivity tools.
more →
Analytics Insight, Monday, February 2nd, 2026
Which AI Innovations Are Set To Dominate The Future?
Artificial intelligence has quietly woven itself into daily life. It curates shopping recommendations, flags suspicious credit card charges, powers voice assistants like Alexa, and helps radiologists spot abnormalities in medical scans.
more → Security Boulevard, Monday, February 2nd, 2026
Reorient Your Thinking To Tackle AI Security Risks
The rise of artificial intelligence has rendered portions of your current cybersecurity playbook obsolete. Unless Chief Information Security Officers (CISOs) act quickly to reorient their thinking, they may be unaware of and unprepared to face emerging AI-related threats. Learn how to secure your organization's AI usage and ensure implementation won't have negative consequences.
more → Search CIO, Friday, January 30th, 2026
How AI-Powered Learning Affects The IT Skills Gap
While AI helped create the current IT skills gap, AI-powered learning can also shrink it. The right tools can help IT leaders improve skills development and anticipate challenges.
more →
eWeek, Friday, January 30th, 2026
Nearly 90% Of Workers Are Using AI At Work, Mostly Without Employer Support
AI is everywhere at work. but training is not.
more →
The New Stack, Friday, January 30th, 2026
When AI Fails: The New Reality Of Incident Management
As AI failures emerge, ITOps teams must adapt with new processes, cross-functional teams, and mature communication.
more → InformationWeek, Thursday, January 29th, 2026
The Agent-First Web Is Coming; CIOs Should Prepare
AI agents won't replace the web, but they will change how we use it.
more → Infoworld, Monday, January 26th, 2026
AI Is Changing The Way We Think About Databases
The database is no longer just where data lives, but where context gets assembled. And in AI, context is everything.
more →
Infoworld, Monday, January 26th, 2026
16 Open Source Projects Transforming AI And Machine Learning
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with projects that support AI development.
more → The New Stack, Monday, January 26th, 2026
Agentic AI Meets Integration: The Next Frontier
A solid integration strategy is non-negotiable for safe, scalable autonomous systems. Learn how to build the right backbone for your AI initiatives.
more → VentureBeat, Friday, January 23rd, 2026
Everything In Voice AI Just Changed: How Enterprise AI Builders Can Benefit
Despite lots of hype, "voice AI" has so far largely been a euphemism for a request-response loop. You speak, a cloud server transcribes your words, a language model thinks, and a robotic voice reads the text back. Functional, but not really conversational.
more →
OpenSource For U, Wednesday, January 21st, 2026
Kubernetes Emerges As The Default Open Source Platform For AI
CNCF's 2025 Annual Survey shows Kubernetes has become the open source backbone for production AI, with enterprises standardising on cloud-native platforms as AI moves cautiously into scale.
more →
Blocks and Files, Tuesday, January 20th, 2026
From AI Ambition To AI Production: Escaping The AI Pilot Trap
Enterprise interest in artificial intelligence has never been higher. Boards are asking for it. Business units are piloting it. Data science teams are experimenting with models at speed.
more →
Computerworld, Monday, January 19th, 2026
What AI Skills Job Seekers Need To Develop In 2026
Knowing how to query ChatGPT, Gemini or Claude doesn't make you an expert on genAI and AI tools. There's a lot more to learn about in this fast-evolving area of tech.
more →
Help Net Security, Monday, January 19th, 2026
Review: AI Strategy And Security
AI Strategy and Security is a guide for organizations planning enterprise AI programs. The book targets technology leaders, security professionals, and executives responsible for strategy, governance, and operational execution. It treats AI adoption as an organizational discipline that spans planning, staffing, security engineering, risk management, and ongoing operations.
more →
Analytics Insight, Friday, January 16th, 2026
MCP And Enterprise Development: The Next Shift In Business Intelligence Architecture
Enterprise software is moving beyond data collection toward decision intelligence. Cloud platforms, APIs, and analytics reshaped how information flows across organizations.
more → techradar.pro, Thursday, January 15th, 2026
The Era Of AI Hype Is Over - Firms Now Want To See Real Returns
AI has evolved from experimentation to implementation, report claims
more → HPCwire, Thursday, January 15th, 2026
Gartner Says Worldwide AI Spending Will Total $2.5T In 2026
Worldwide spending on AI is forecast to total $2.52 trillion in 2026, a 44% increase year-over-year, according to Gartner, Inc. a business and technology insights company.
more → CIO, Wednesday, January 14th, 2026
Beyond The Hype: 4 Critical Misconceptions Derailing Enterprise AI Adoption
AI isn't failing because it's immature. It's failing because companies overestimate readiness, expect magic ROI, ignore data quality and treat AI like old-school software.
more → AITHORITY, Tuesday, January 13th, 2026
Your AI Governance Policy Is Just A Document. Here's How To Enforce It
You most probably have put in a lot of time and labor in drafting a robust AI governance policy for your organization. This is an essential first step, but you have made specific principles around fairness, transparency, and accountability. The trick is that a policy document on a server does not monitor anything. It is a declaration of intent, rather than a control system.
more → Levelact, Monday, January 12th, 2026
Why Most AI Projects Never Reach Production
Artificial intelligence has moved from experimentation to expectation. Enterprises are investing heavily in machine learning platforms, large language models, and intelligent automation. Proof-of-concept demos are everywhere. Pilot projects multiply quickly.
more →
Analytics Insight, Saturday, January 10th, 2026
Top AI Platforms For Predictive Analytics In 2026
Highly Rated Predictive Analytics Platforms Like Alteryx, Databricks, and More for Real Business Decisions
more →