Articles about Artificial Intelligence (AI)

Ahead of the summer’s round of cybersecurity conferences Google is announcing a range of new initiatives aimed at bolstering cyber defenses with the use of AI.

Last year the company launched Big Sleep, an AI agent developed by Google DeepMind and Google Project Zero, that actively searches and finds unknown security vulnerabilities in software.

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New research from OutSystems shows an increasing trend in agentic AI prioritization among software executives with 93 percent of organizations already developing -- or planning to develop -- their own custom AI agents.

IT leaders are under pressure to deliver measurable business value while managing constrained resources and aligning technology investments with long-term strategic goals. Introducing agentic AI helps address these demands by tackling challenges like fragmented tools, and limited ability to leverage data siloed across the organization.

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There’s increasing concern about the use of deepfakes and artificial intelligence to spread misinformation and contribute to fraudulent activity.

Today at the AI for Good Global Summit in Geneva, the AI and Multimedia Authenticity Standards Collaboration (AMAS), a global, multistakeholder initiative led by the World Standards Cooperation has today launched two flagship papers offering recommendations to guide the governance of AI globally and combat mis-and-disinformation.

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As generative AI tools have become more powerful, affordable and accessible, cybercriminals are increasingly adopting them to support attacks, these range from business fraud to extortion and identity theft.

A new report from Trend Micro shows that deepfakes are no longer just hype but are being used in real-world exploitation, undermining digital trust, exposing companies to new risks, and boosting the business models of cybercriminals.

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Although enterprise AI investment continues to accelerate, executive confidence in the strategies guiding this transformation is falling according to a new report.

The research from Akkodis, looking at the views of 500 global Chief Technology Officers (CTOs) among a wider group of 2,000 executives, finds that overall C-suite confidence in AI strategy dropped from 69 percent in 2024 to just 58 percent in 2025. The sharpest declines are reported by CTOs and CEOs, down 20 and 33 percentage points respectively.

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Earlier this week we looked at the use of AI in recruiting and retaining staff. But that was from the business point of view. What about the other side of the coin, can you -- should you -- use AI when applying for a job?

The UK government clearly thinks so. New guidelines on the Civil Service Careers website say that tools like ChatGPT, Copilot and Gemini can be used to, “enhance your application and prepare for the process”. However it goes on to caution that AI shouldn’t be used to, “provide misleading or false information at any stage of the application journey.”

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As summer travel plans ramp up, so do concerns around identity theft, fraud, and safety – especially as travelers engage with everything from airlines to Airbnbs, ride shares to public Wi-Fi.

We spoke to Bala Kumar, chief technology and product officer at Jumio, to discuss the AI-powered scams threatening enterprises' customers this summer, and how businesses can ensure safe, secure, and efficient identity verification.

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AI is revolutionizing how software gets built, making the process faster, smarter, and more autonomous. But it also introduces more risk than we’ve ever seen and challenges application security, which wasn’t designed for AI-driven development processes.

In response to this Legit Security is launching Legit MCP (Model Context Protocol) Server. This new offering brings application security posture management (ASPM) to AI-led development, making vulnerability management simpler.

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Businesses and politicians are calling on the EU to pause the rollout of its wide-ranging new AI Act which became law last year. The act relies on technical standards which have been slow to emerge. Provisions of the act such as new rules for General-Purpose AI (GPAI) models, due to apply on August 2nd, still lack essential guidance.

Swedish prime minister Ulf Kristersson has called the new rules ‘confusing’ and said that he worried the continued rollout could lead to Europe falling behind technologically or specific applications not being available on the European market.

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Recruiting, training and retaining staff is very much a human issue rather than a technology one, right? Not necessarily, using data and insights from AI organizations can measure and improve employee performance as well as creating a more welcoming and inclusive work environment.

We spoke with Dr. Serena Huang, founder of Data with Serena and author of The Inclusion Equation: Leveraging Data & AI for Organizational Diversity and Well-Being, to learn more about how data can be used to drive meaningful progress in DEI and employee well being.

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We reported a few weeks ago on the challenges businesses face in getting workers to adapt to new generative AI technology.

The latest report from digital experience specialist Nexthink, based on a survey of 220 public sector IT decision makers, shows that this is a particular problem in the public sector, with 96 percent of IT leaders believing this new era of digital transformation will increase digital friction.

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A new report reveals that nearly 80 percent of IT leaders say their organization has experienced negative outcomes from employee use of generative AI, including false or inaccurate results from queries (46 percent) and leaking of sensitive data into AI (44 percent).

Notably the survey of 200 US IT directors and executives from Komprise shows that 13 percent say that these poor outcomes have also resulted in financial, customer or reputational damage.

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As data demands across organizations intensify they need to scale productivity and enable business users to explore data independently.

Cube is launching an agentic AI analytics platform built on a universal semantic layer which allows it to operate autonomously within enterprise frameworks, automating work while preserving trust, governance, and transparency.

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New research from Barracuda Networks finds 65 percent of IT and security professionals say their organizations are juggling too many security tools.

What's more, over half (53 percent) of respondents also say their security tools cannot be integrated -- creating fragmented environments that are difficult to manage and secure.

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Scammers are already using AI-powered automation to manipulate marketing channels. We don't want to hand out a playbook for bad actors, but it's important to recognize the growing number of scams that have been enhanced by AI and automation tools. Most scams are still about money, either directly or by collecting personal data that can be used to access financial information. If there is no money, there is typically little motive.

In a space like eCommerce, for example, we've seen scammers clone legitimate websites to trick customers into handing over their payment information. These spoof sites look identical to the real thing. 

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