Articles about Artificial Intelligence (AI)

Enterprises face a growing volume and complexity of cyber threats which means security teams struggle with alert fatigue and managing a spread of tools.

Sumo Logic is launching a new agent-powered security operations tool to help automate routine tasks, streamline investigations, and give enterprise security teams the freedom and ability to focus on analyzing the biggest security issues facing their organization.

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Agentic AI is changing healthcare workflows by moving from passive data analysis to active orchestration of decisions.

But with this come risk. We spoke to Rajan Kohli, CEO of CitiusTech, to discuss how AI is changing healthcare and how organizations can prepare for its impact.

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A new report from compliance management company Strike Graph finds a worrying disconnect between the growing complexity of regulatory frameworks and organizations' confidence in their ability to manage them.

According to the report, potential errors (63 percent) and data security issues (50.5 percent) are the greatest concerns for respondents adopting AI in compliance processes. That may explain why only 10.6 percent have adopted advanced, agentic AI systems that are poised to revolutionize the governance, risk, and compliance (GRC) market.

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A new report shows that 60 percent of organizations use AI in the software testing process, compared to just 30 percent last year, but 80 percent lack in-house AI testing expertise.

The study from Applause, based on a global survey of more than 2,100 software development and testing professionals, finds 92 percent of organizations are finding it challenging to keep pace with rapidly changing requirements.

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A new study finds 26 percent of surveyed organizations in the UK and US have fallen victim to AI data poisoning in the past year. This is where hackers corrupt the data that trains AI systems by planting hidden backdoors, sabotaging performance, or manipulating outcomes to their advantage.

The research from information security platform IO (formerly ISMS.online) surveyed over 3,000 cybersecurity and information security managers in the UK and US, and finds that that 20 percent of organizations have also reported experiencing deepfake or cloning incidents in the last year.

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Large enterprises have always relied on mainframe computing but with the rise of technologies like the cloud and AI many have predicted that those days are numbered.

Software solutions company BMC has released the results of its 20th annual BMC mainframe survey, which finds that in fact positive perception of the mainframe has reached an all-time high of 97 percent, highlighting that the mainframe remains a vibrant and growing platform.

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Today’s enterprises are often stuck with legacy code that hampers attempts at modernization, maintenance and more.

To address this CoreStory is launching an AI-driven code intelligence platform that uncovers the fundamental insights in code to accelerate software modernization efforts quickly, efficiently and with greater confidence.

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Organizations are sitting on troves of information yet struggle to leverage this data for quick decision-making. The challenge isn't just about having data, but working with it in its natural state -- which often includes ‘dirty data' not cleaned of typos or errors.

We spoke to CEO of analytics company WisdomAI, Soham Mazumdar, to find out more about this challenge and how businesses can deal with it.

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Artificial intelligence is finding its way into more and more areas of our lives. But while there are concerns around the use of the technology itself, there are much greater ones over how we secure it.

We spoke to Anand Kashyap, CEO and founder of Fortanix, to discuss confidential computing, a technology backed by Microsoft, Intel, Arm, AMD and Nvidia, which encrypts data while it's being processed, even by AI systems.

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Workers are increasingly using shadow AI to draft emails, analyze data, or summarize meetings, but are pretending they haven’t.

New data from marketing agency OutreachX finds 52 percent of US workers are worried about how AI will be used in their workplace in the future and that 48 percent of desk workers say they would be uncomfortable telling a manager they used AI for common tasks.

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Helpdesks are bogged down by repetitive, time-consuming tasks (34 percent), long resolution times (34 percent) and limited resources (31 percent).

This is among the findings of the latest digital employee experience (DEX) report from Ivanti. It shows that while many businesses are automating certain operations, like security patch management (72 percent) and IT ticket routing (67 percent), but nearly 40 percent still haven't automated password resets -- missing an easy win that could eliminate countless routine support tickets.

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As we do more and more on our mobile devices it’s clear that the front line of cyber defense isn't the corporate server it's the employee's phone.

As AI boosts social engineering, hackers are bypassing traditional firewalls to target people directly with smishing and phishing, making every employee a critical, and often vulnerable, defender against highly convincing threats.

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Recent advancements in publicly available AI models have made it incredibly easy to generate deepfakes -- so much so that attackers don’t need to be technical experts to pull off convincing deception campaigns.

Attackers can scrape public content to recreate someone's voice or face, and inject that fake identity into virtual meetings, phone calls, or even training videos.

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As cyber adversaries increasingly use AI to move faster and exploit blind spots, security, network, and application teams face mounting challenges, not helped by a global shortage of skilled professionals.

Observability specialist Gigamon is launching a new agentic AI application purpose-built for network-derived telemetry to deliver immediate guidance for security and IT operations teams.

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While crowdsourcing testing is increasingly popular the market has long struggled with lengthy setup times, inconsistent tester quality, poor signal-to-noise ratios.

Testing platform Testilo is seeking to address this with the launch of two new AI technologies, LeoAI Engine and LeoMatch. LeoAI Engine is a proprietary intelligence layer, while LeoMatch seeks to match the right testers to projects in real-time.

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