Q&A

Silos, you might think, are bit of a niche issue. They arise when old practices become entrenched, or when tools are only used by one part of the organization.

But Shannon Mason, chief strategy officer of Tempo Software, argues silos are actually a major roadblock to growth, agility, and strategic alignment. We spoke to her to find out about the hidden cost of silos and the concrete steps teams can take to break them down.

Managing identity is one of the more challenging cybersecurity tasks and can soak up a good deal of time and resources.

We spoke to Raz Rotenberg, co-founder and CEO of Fabrix Security, to discuss the rise of self-governing IAM systems that don’t just enforce policy -- but continuously adapt, reason, and remediate access in real time.

Generative AI is often praised for its ability to analyze data, summarize research and even propose scientific ideas, but new findings suggest its creative limits are more substantial than many of the exciting headlines imply.

Research led by Professor Amy Wenxuan Ding of emlyon business school and Professor Shibo Li of Indiana University found that while GenAI can imitate the process of science, it cannot yet produce the imaginative leaps that drive true discovery. In their study, which you can read here, a computer simulated experiment challenged ChatGPT-4 to solve a real genetics puzzle, asking it to propose hypotheses, design lab experiments and revise its thinking as results unfolded.

Data that was once scattered across sprawling systems and silos -- providing natural obstacles to attackers -- is now concentrated and highly portable within AI models. This fundamental shift redefines the challenge of digital security.

We spoke to Dr. Luigi Caramico, CTO and co-founder of DataKrypto, to discuss how organizations can repond to this challenge.

The use of AI across modern enterprises in recent years has accelerated, with innovation at the forefront and APIs serving as the crucial enabler behind the scenes.

Now, agentic AI, capable of autonomous actions and decision-making, but this shift exposes several gaps in API documentation, drift in specifications and insufficient safety guardrails, all of which can lead to serious implications for organizations.

Security analysts want to capture more events in order to spot threats earlier which requires more detection rules. But doing so risks driving up alert volumes leading to issues with alert fatigue.

The solution is automation which can be used to increase the throughput of alerts and the threat intelligence around these, creating a ‘paranoid’ form of posture management. We talked to Martin Jakobsen, CEO of Cybanetix, to learn more about how this works.
 
BN: What is ‘paranoid posture management’? What does this mean in practice, and how does automation help enable it?
 
MJ: A massive problem for security monitoring is that Security Operation Centres (SOCs) can become overwhelmed by the sheer volume of alerts, as a consequence of which a lot of SOCs end up either ignoring or tuning out low severity alerts. The ideal scenario is to have a big red alert when you have a breach, but the reality is that attackers will make initial forays, and that those telltale signs will be missed. If you’re only looking for the obvious indicators of a breach, incident response is already caught on the back foot.

Many organizations are running SQL Server across Windows, Linux, containers, and Kubernetes. Obviously there are advantages if that environment can be unified into a single data estate, but doing so presents a number of challenges.

We spoke to Don Boxley, CEO and co-founder of DH2i, to look at the problems involved and how to address them.

In an era where cyber threats are evolving faster than ever, organizations can no longer rely solely on reactive defences. Offensive security, once a niche practice, is now a strategic imperative.

To better understand this shift, we spoke with Scott Reininga, CEO of Reversec, a cybersecurity firm at the forefront of offensive security innovation. He explains why offensive security is becoming essential, how it differs from traditional methods, and what organizations can do to adopt a more proactive stance.

The death of the password has been predicted for a very long time, though other methods are now gaining significant traction.

Perhaps the most successful of these is the use of biometrics. We talked to David Stauffer, director of sales North America at Veridas, about how biometrics is transforming authentication across financial services and telcos, and how voice-based verification enhances security against fraud, user experience and operational efficiency.

Many companies are still heavily reliant on legacy systems, which can lead to high maintenance costs, limited flexibility, and increased security risks. All of which can hold back AI integration.

We spoke to Jorge Lopez, CEO of Jalasoft, about the critical role legacy systems play in today’s rapidly evolving AI landscape and how organizations can modernize strategically without disrupting core operations.

Digital employee experience, or DEX, is about how employees engage with the technology and services they use every day: everything from laptops, apps, collaboration tools to networks.

We spoke to Dean Fernandes, CTO of NWN.ai to find out more about the importance of DEX and how it’s changing the world of IT.

The network firewall was designed for a world that doesn’t exist anymore. When corporate assets sat behind a data center perimeter, inspecting packets between ‘inside’ and ‘outside’ made sense.

But today, with workloads spread across multiple clouds, SaaS platforms, and edge environments, that perimeter has dissolved. Attackers don’t need to smash through firewalls when they can compromise privileged credentials and operate from within. A rogue or stolen admin account can cause catastrophic damage, something no network firewall can stop. The battlefield has shifted from networks to identities.

Artificial intelligence is reshaping healthcare systems across the globe. But to see where it stands today, and where it could be in the coming years, we need to better understand how AI can accelerate patient discharges, improve cancer detection, and support overstretched staff, while also addressing the barriers that have slowed adoption.

AI won’t replace doctors, but it can save healthcare. To find out how we spoke to prominent CIO with decades of healthcare experience, Richard Corbridge. Richard was previously the Chief Information Officer for the Health Service Executive in Ireland and was instrumental in the reform of the Irish healthcare technology system.

According to recent research nearly half of FTSE 100 companies now have a Chief AI Officer (CAIO) -- with 42 percent of those hires made in just the past year.

Companies are clearly rushing to signal their AI credentials at board level, but is this a meaningful shift, or simply another wave of hype-led decision making? We spoke to Francisco Mateo-Sidron, SVP and head of EMEA at Cloudera, who believes that a CAIO alone can’t drive real results if enterprises don’t have data that’s built on solid foundations.

Agentic AI is rapidly moving from concept to reality, prompting organizations globally to rethink how they integrate these technologies into their business operations. The use of AI agents in daily workflows is set to rise dramatically in the coming years, raising questions over what organizations need to do to manage them effectively, and what might happen if they fail to do so.

We spoke with Ann Maya, EMEA CTO at Boomi, about the evolution of AI agents, the steps businesses should be taking ahead of deployment, and why the principles of human workforce management may hold the key to responsible use.