CISOs under pressure to keep data secure during AI rollouts without harming growth
IT leaders are optimistic about the value AI can deliver, but readiness is low. Many organizations still lack the security, governance and alignment needed to deploy AI responsibly.
A new study by the Ponemon Institute for OpenText finds 57 percent of CIOs, CISOs, and other IT leaders rate AI adoption as a top priority, and 54 percent are confident they can demonstrate ROI from AI initiatives. However, 53 percent say it is ‘very difficult’ or ‘extremely difficult’ to reduce AI security and legal risks.
Human risk and Gen AI-driven data loss top CISO concerns
As cyber threats become more frequent and complex, CISOs are increasingly concerned about their organization’s ability to withstand a material attack. 76 percent feel at risk of experiencing a material cyberattack in the next 12 months, yet 58 percent say they are unprepared to respond.
The latest Voice of the CISO report from Proofpoint surveyed 1,600 global CISOs across 16 countries and finds human behavior remains a critical vulnerability, with 92 percent attributing at least some data loss to departing employees.
Insider threats become more effective thanks to AI
Artificial intelligence is making insider threats more effective according to a new report which also shows that 53 percent of respondents have seen a measurable increase in insider incidents in the past year.
The survey, of over 1,000 cybersecurity professionals, from Exabeam finds 64 percent of respondents now view insiders, whether malicious or compromised, as a greater risk than external actors. Generative AI is a major driver of this, making attacks faster, stealthier, and more difficult to detect.
LibreOffice users can now generate AI art inside Writer and Impress
LibreOffice doesn’t ship with artificial intelligence features by default, but a new extension gives the office suite AI-powered features thanks to a community effort.
While Microsoft Office has started to integrate AI directly into its products, often tied to cloud subscriptions and proprietary tools, LibreOffice follows a different path where volunteers and independent developers can add optional capabilities through open-source extensions.
Copilot 3D is Microsoft’s latest generative AI experiment
There is no shortage of generative AI tools out there, and the latest is Copilot 3D. This experimental tool from Microsoft does very much what you would expect of it – it creates three-dimensional images using artificial intelligence.
As this is an experimental tool, there are a couple of things to keep in mind. Firstly, it is not a completed product so there may be issues with it. Secondly, this is an experimental tool which is still being developed, so it could change dramatically or even disappear altogether. But let’s take a look at what is currently available.
Why the future of AI isn’t about better models -- it’s about better governance [Q&A]
The rise of generative and agentic AI is transforming how data is accessed and used, not just by humans but by non-human AI agents acting on their behalf. This shift is driving an unprecedented surge in data access demands, creating a governance challenge at a scale that traditional methods can’t handle.
If organizations can’t match the surge in access requests, innovation will stall, compliance risks will spike, and organizations will reach a breaking point. Joe Regensburger, VP of research at Immuta, argues that the solution isn’t more powerful AI models; it’s better governance. We talked to him to learn more.
Why an adaptive learning model is the way forward in AIOps [Q&A]
Modern IT environments are massively distributed, cloud-native, and constantly shifting. But traditional monitoring and AIOps tools rely heavily on fixed rules or siloed models -- they can flag anomalies or correlate alerts, but they don’t understand why something is happening or what to do next.
We spoke to Casey Kindiger, founder and CEO of Grokstream, to discuss new solutions that blend predictive, causal, and generative AI to offer innovative self-healing capabilities to enterprises.
The impact of AI -- how to maximize value and minimize risk [Q&A]
Tech stacks and software landscapes are becoming ever more complex and are only made more so by the arrival of AI.
We spoke to David Gardiner, executive vice president and general manager at Tricentis, to discuss to discuss how AI is changing roles in development and testing as well as how companies can maximize the value of AI while mitigating the many risks.
Half of Americans think AI is a threat, the other half don't. Who's right?
As artificial intelligence moves from tech circles into daily life, Americans are sharply divided over what it means for the future.
A new Gallup survey finds that 49 percent of U.S. adults see AI as “just the latest in a long line of technological advancements that humans will learn to use to improve their lives and society.”
AI-generated deepfakes used to drive attacks
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.
Shadow AI a major concern for enterprise IT
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.
The challenges and opportunities of generative AI [Q&A]
The promise of GenAI is undeniable, it offers transformative potential to streamline workflows, boost efficiencies, and deliver competitive advantage. Yet, for many organizations, the journey to implement AI is far from straightforward.
Obstacles typically fall into three categories: strategic, technological, and operational. We spoke with Dorian Selz, CEO and co-founder of Squirro, to explore these obstacles in more detail, as well as looking at some of the biggest misconceptions enterprises have when starting their GenAI journey.
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.
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.
Cybercriminals lure LLMs to the dark side
A new AI security report from Check Point Software shows how cybercriminals are co-opting generative AI and large language models (LLMs) in order to damage trust in digital identity.
At the heart of these developments is AI's ability to convincingly impersonate and manipulate digital identities, dissolving the boundary between authentic and fake.
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