Articles about Artificial Intelligence (AI)

As organizations increasingly adopt AI capabilities, the most common and dangerous attacks often go undetected by static code scanning or traditional security methods.

The only effective way to stop common AI attacks, such as prompt injection and zero-day vulnerabilities, is through active runtime detection and defense. Operant AI is launching a new 3D Runtime Defense Suite aimed at protecting live cloud applications, including AI models and APIs in their native environments.

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Humans are generally the weakest link in the cybersecurity chain, so training and awareness are essential alongside technology to keep organizations safe.

With the launch of its AI Scenario Generator, Immersive Labs enables organizations to seamlessly generate threat scenarios for crisis simulations to ensure their workforces are ready for the latest threats.

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Online scams aren't anything new, but thanks to artificial intelligence they're becoming more sophisticated and harder to detect. We've also seen a rise in disinformation and deepfakes many of them made possible, or at least more plausible, by AI.

This means that venturing onto the internet is increasingly like negotiating a digital minefield. With FAIK, risk management specialist at KnowBe4 Perry Carpenter sets out to dissect what makes these threats work and the motivations behind them as well as offering some strategies to protect yourself.

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Many in the industry believe that AI is degrading because it's being starved of human-generated data. This leads to models being trained on the output of older models which increases the risk of hallucinations and errors.

But how big an issue is this and what can we do to fix it? We spoke to Persona CEO and co-founder, Rick Song to find out.

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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.

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A new report reveals that 54 percent of cybersecurity professionals believe cybercriminals will benefit more from AI than the security industry.

The report by The Chartered Institute of Information Security (CIISec), based on a survey of over 300 cybersecurity professionals, finds 51 percent) of those surveyed believe that AI and machine learning will be the most influential technology in the cybersecurity industry over the coming year.

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As the IT landscape becomes more complex it can be difficult for businesses to fully understand their risk profile and to ensure that they're getting the most from their investments.

With the launch of a new AI-powered unified observability platform, Kloudfuse aims to deliver improved anomaly detection and consolidated metrics, logs, traces, real user monitoring, continuous profiling, and more in a unified observability data lake.

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As technology has become a key part of more areas of our lives, ensuring our information remains secure is essential. The majority of data breaches are due to credentials that have been compromised in some way so we really need to look beyond passwords.

Biometrics is one area that's gaining in popularity so we spoke to Tina D'Agostin, CEO of biometric access control specialist Alcatraz AI, to discuss the rising popularity of AI-powered biometric security solutions, and its benefits.

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A new report shows 45 percent of cybersecurity teams are already using AI tools, and 80 percent of professionals believe cybersecurity expertise will be even more critical in an AI-driven environment.

The research from ISC2 surveyed almost 16,000 cybersecurity professionals and decision makers worldwide and finds that 74 percent of respondents say the threat landscape is the most challenging they have experienced in the last five years, and job satisfaction has fallen from 74 percent in 2022 to 66 percent in 2024.

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A new report from Apple endpoint management specialist Kandji shows that 73 percent of organizations report that their number of Apple products has increased over the last year, driven primarily by employee preference (76 percent), security (50 percent), and reliability (43 percent).

Commissioned by Kandji and conducted by Dimensional Research, the global survey gathered insights from more than 300 IT professionals with responsibility for the management and delivery of Apple products to employees at a company with more than 1,000 employees and more than 500 end-user devices.

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Almost 70 percent of DevSecOps professionals can't detect AI source code origins, creating massive security risks, according to a new report.

The study from JFrog finds the majority of software developers and cybersecurity teams are lacking well-defined AI and Machine Learning (ML) source code usage visibility, provenance, and governance, leaving many organizations at risk.

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One of the features of AI is its ability to process large volumes of data to identify patterns and make information more accessible.

We spoke to Igor Jablokov, CEO and founder of Pryon, about how enterprises can take advantage of this ability and make better use of their data.

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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.

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Improving data quality (42 percent), security (40 percent), and analytics (40 percent) remain top data governance drivers, but in 2024 ensuring data readiness and quality for AI (34 percent) has made the list as the fourth most cited driver of data governance programs.

A report from Quest Software and ESG (Enterprise Strategy Group) also shows organizations report evolving data and governance to an AI-ready state (33 percent) as a top three bottleneck impacting the data value chain, behind understanding the quality of source data (38 percent) and tied with finding, identifying and harvesting data assets (33 percent).

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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.

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