AI adoption accelerates security risks in hybrid cloud


Hybrid cloud infrastructure is under mounting strain from the growing influence of artificial intelligence, according to a new report.
The study, from observability specialist Gigamon, of over 1,000 global security and IT leaders, shows breach rates have surged to 55 percent during the past year, representing a 17 percent year-on-year rise, with AI-generated attacks emerging as a key driver of this growth.
How failure to identify AI risks can lead to unexpected legal liability [Q&A]


Use of generative AI is becoming more common, but this comes with a multitude of inherent risks, security and data privacy being the most immediate. Managing these risks may seem daunting, however, there is a path to navigate through them, but first you have to identify what they are.
We talked to Robert W. Taylor, Of Counsel with Carstens, Allen & Gourley, LLP to discuss how a failure to identify all the relevant risks can leave businesses open to to unexpected legal liabilities.
Threat intelligence is crucial but organizations struggle to use it


While 92 percent of respondents to a new survey say collaboration and information sharing are either 'absolutely crucial' or 'very important' in the fight against cyber threats, the results tell a different story when it comes to the adoption of this practice.
The study from Cyware, conducted among cybersecurity professionals at the RSA Conference 2025, finds only 13 percent say their current automation between cyber threat intelligence (CTI) and SecOps tools is working well. Nearly 40 percent day they struggle to coordinate data across critical security tools like Threat Intelligence Platforms (TIPs), SIEMs, and vulnerability management platforms.
AI-powered threats highlight the need for a unified approach to SOCs


With new threats such as AI-powered attacks, enterprises must be fully prepared and confident about protecting themselves and their customers and build a unified security operations center (SOC) that combines human expertise with AI advancements.
A new report from Splunk looks at the mounting challenges faced by SOCs. It uncovers the pain points that hamper organizations and open their doors to threats -- 46 percent of respondents say they spend more time maintaining tools than defending the organization, while only 11 percent trust AI completely for mission-critical tasks. Furthermore, 66 percent experienced a data breach in the past year, making it the most common security incident.
97 percent of CIOs are deploying or looking at edge AI


New research shows that 97 percent of CIOs have edge AI either already deployed or on their
roadmap, with only three percent reporting no current plans to implement these technologies.
The report from ZEDEDA, based on a survey by Censuswide of over 300 US CIOs, finds 80 percent of CIOs with deployed edge AI solutions use them for customer experience improvements, while nearly as many (77 percent) focus on risk management applications, including predictive maintenance.
Autonomous AI agents aim to streamline enterprise development


The use of AI in software development can save valuable time completing routine tasks. But what if it could autonomously respond to events, implement changes, and submit code through standard pull requests?
This is what Zencoder is doing with the launch today of Autonomous Zen Agents for CI/CD, bringing groundbreaking AI automation directly into the software development infrastructure.
Starburst platform updates boost enterprise AI initiatives


Updates to the Starburst data platform for apps and AI are designed to accelerate enterprise AI initiatives and support the transition to a future-ready data architecture built on a data lakehouse.
At the heart of these changes are Starburst AI Workflows, a purpose-built suite of capabilities that speed AI experimentation to production for enterprises. AI Workflows provides a link between vector-native search, metadata-driven context, and robust governance, all on an open data lakehouse architecture.
GenAI vulnerable to prompt injection attacks


New research shows that one in 10 prompt injection atempts against GenAI systems manage to bypass basic guardrails. Their non-deterministic nature also means failed attempts can suddenly succeed, even with identical content.
AI security company Pangea ran a Prompt Injection Challenge in March this year. The month-long initiative attracted more than 800 participants from 85 countries who attempted to bypass AI security guardrails across three virtual rooms with increasing levels of difficulty.
Chainguard launches malware-resistant dependencies for Python


The Python programming language has become the foundation of modern AI and machine learning applications. Of course that makes it a prime target for supply chain attacks.
Public registries do minimal vetting of hosted artifacts, and they don't provide assurance that the distributed library matches its source code, exposing enterprises to supply chain attacks. Python libraries are also susceptible to supply chain attacks because many projects include more than just pure Python code -- for example project maintainers often rebundle shared system libraries into their Python libraries to ensure stable behavior.
AI leads to a new phishing threat every 42 seconds


AI-powered phishing campaigns are bypassing traditional defenses as threat actors flood inboxes with polymorphic phishing, spoofed brands, and new malware families.
New research from the Cofense Phishing Defense Center (PDC) has tracked one malicious email every 42 seconds. Many of these were part of polymorphic phishing attacks that mutate in real-time in order to bypass traditional filters.
UK government uses AI 'Humphrey' tool to review consultation responses


Fans of the 1980s British sitcom 'Yes Minister' will know the character Sir Humphrey -- a senior civil servant whose main role seemed to be to prevent ministers from implementing their policies. You may also know that Humphrey is the name of the Downing Street cat.
With its tongue firmly in its cheek then, the UK government is introducing 'Humphrey', a bundle of AI tools designed to speed up the work of civil servants and cut back time spent on admin, and money spent on contractors.
Digital accessibility a priority ahead of new European law


With the European Accessibility Act (EAA) due to come into force next month, 84 percent of respondents to a new study say that digital accessibility is a priority for their company.
The EAA aims to make technology products and services easier to use for people with disabilities. The study, from quality and testing specialist Applause, shows 94 percent of organizations are preparing for the EAA by the June 28, 2025 deadline.
Cybersecurity readiness stays low as AI attacks increase


Only four percent of organizations worldwide have achieved the 'mature' level of readiness required to effectively withstand today's cybersecurity threats, even as hyperconnectivity and AI introduce new complexities for security practitioners.
The latest Cybersecurity Readiness Index from Cisco shows 86 percent of organizations faced AI-related security incidents last year. However, only 49 percent of respondents are confident their employees fully understand AI related threats, and 48 percent believe their teams fully grasp how malicious actors are using AI to execute sophisticated attacks.
Why using AI as a replacement for junior developer talent is a mistake [Q&A]


By 2026 it's estimated the IT skills shortage will affect nine out of 10 organizations, an issue that will only be exacerbated by the growing 'silver tsunami' of seasoned professionals retiring from the industry.
This shortage presents a challenge to almost every organization, especially as IT professionals are being asked to usher their company into the digital age and incorporate new technology into existing workflows.
Enterprises rush to adopt AI but struggle to measure its value


New research shows that enterprises are going beyond AI experimentation and into large-scale production but that return on investment is taking a back seat in the process.
The report from Domino Data Lab shows that while 88 percent of organizations report improved ability to move AI from experimentation to production, nearly 60 percent expect less than 50 percent ROI in the rapidly changing areas of machine learning (60 percent) or Gen AI (57 percent).
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