What happens when AI stops simply answering questions and starts taking action on our behalf?

In this episode of Cyber Confersations, I’m joined by Elad, Co-Founder & CEO of Lasso Security, live at Black Hat to talk about the rapidly evolving AI security landscape - and why agentic AI could be the next major shift security teams need to prepare for.

Elad started Lasso in 2023 after seeing AI not simply as another productivity tool, but as a completely new attack surface that would require a fundamentally different approach to security.

Three years on, that prediction is looking increasingly relevant.

We get into 👇

🤖 The evolution of AI security - from ChatGPT and DLP to AI embedded across applications, devices and workflows.

🔎 Agent behaviour analytics - why understanding what an agent does and why could become more important than simply monitoring inputs and outputs.

🚨 Runtime anomaly detection - spotting unusual agent behaviour and giving security teams the ability to intervene, including a potential “kill switch”.

⚡ Building for a moving target - why Lasso thinks three-month roadmaps can sometimes make more sense than two-year plans when AI is evolving this quickly.

🧠 Why security needs to enable AI, not stop it - and how CISOs can become the people helping their organisations adopt agents safely rather than simply saying no.

💡 The future of agent security - as employees across organisations become agent builders, understanding what legitimate agent behaviour looks like is going to become increasingly important.

We also talk about the challenges of building a company in a market that changes almost daily, the importance of offensive security in understanding how to defend AI, and why Elad believes we're experiencing something on the scale of the internet and cloud revolutions.

A conversation about AI security, agentic AI, AI agents, runtime security, behavioural analysis and the future of cybersecurity.

AI adoption is moving incredibly quickly - but how do security teams enable it without losing control of their data?

In this episode of Cyber Conversations, I’m joined by Pranava Adduri, Co-Founder & CTO of Bedrock Data, live at Black Hat to talk about the growing challenge of securing enterprise AI and agents.

As organisations give AI agents access to more data and more autonomy, the security conversation is shifting. It’s no longer simply about whether employees can use AI - it’s about understanding what data those agents can access, what they can do with it and how to put the right controls around them.

We get into 👇

🤖 Why agents create a uniquely difficult data security problem - acting on behalf of humans but without the same judgement about what they should and shouldn't combine.

🔐 Agent DLP - Bedrock Data's approach to creating a data authorisation layer for enterprise AI.

🗂️ Going back to basics - understanding what data you actually have, whether you still need it and who has access to it.

👤 Identity and access - and why getting these foundations right can make it easier to safely increase agent autonomy.

🙅‍♀️ Why security can't become the “office of no” - and how security teams can give the business the confidence to say yes to AI.

🎯 The goal of getting to “yes” - by giving security teams the ability to articulate exactly what AI and agents can and can't do with sensitive data.

A really timely conversation about Agent DLP, enterprise AI security, data governance and how CISOs can enable AI adoption without compromising the security of their data.

And yes, we recorded the whole thing in the Ice Bar. Because apparently cybersecurity wasn't challenging enough without adding hypothermi. 🥶

How many AI tools are actually being used across your organisation?

You might have sanctioned eight. You might actually have 243. 👀

In this episode of Cyber Conversations, I’m joined by Michael Leland, Field CTO at Island, live at Black Hat to talk about the rapidly changing AI landscape inside the enterprise - and why security teams need visibility and control much closer to the user.

AI is no longer just something people access through a browser. It's moving onto desktops, into applications, developer environments and increasingly autonomous workflows.

We get into 👇

🤖 The growing shadow AI problem - and why organisations may have far more AI tools in use than they realise.

👀 Why visibility has to come first - because you can't build effective governance around behaviour you can't see.

🔐 AI guardrails and data protection - from prompts and responses to tool calls, MCPs and agentic behaviour.

🧩 Why enterprises are looking for platforms rather than adding another collection of point solutions.

🙌 Why “yes, but safely” could be a better approach to AI governance than simply blocking the tools users want to use.

💻 Vibe Publishing - and what happens when AI can build and publish applications without the traditional IT development process.

A conversation about shadow AI, agentic AI, enterprise AI security, data protection and what security teams need to rethink as AI becomes embedded across the entire workplace.

DLP has been around for 30 years - so why does it still have such a reputation for being complicated, difficult to deploy and, frankly, a bit painful?

In this episode of Cyber Conversations, I caught up with Jimmy Tsang from Mind live at Black Hat to talk about their approach to making data loss prevention more simple, autonomous and complete.

We get into 👇

✈️ The “business class upgrade” for DLP - and why Mind thinks organisations deserve a better experience from the tools they've been using for years.

🔐 Why traditional DLP can become a checkbox rather than something that genuinely reduces risk.

🧩 The problem with tool sprawl and why covering SaaS, GenAI, endpoints, email and on-prem environments doesn't need to mean having a separate tool for everything.

🤖 How GenAI and agentic AI are changing data security - and creating new opportunities for sensitive data to leak.

⚡ Mind's new AI DLP agents, designed to help with everything from classification through to prevention and remediation.

And, of course, we couldn't do a Black Hat episode about a business class upgrade without actually filming inside a plane. 😂✈️

A conversation about the changing DLP landscape, AI, data security and what it looks like to make security controls genuinely easier to operate.

What does the security organisation of the future actually look like?

In this episode of Cyber Conversations, I’m joined by Yair, Co-Founder & CEO of Surf, live from the Vegas Strip at Black Hat, to talk about how AI is changing the way cybersecurity teams operate - and why we may be heading towards a very different model for the SOC.

Security teams are already dealing with huge amounts of data, increasingly complex environments and dozens of security tools. The question is no longer just how to collect more information, but how to actually turn all of that information into action.

We get into 👇

🤖 How AI is changing cybersecurity operations

⚡ Why security teams need to operate at a completely different speed and scale

🔐 How AI is changing both the threat landscape and our ability to defend against it

👥 What happens to the human role in cybersecurity when AI agents take on the day-to-day work

🧠 Why strategy, communication and accountability could become even more important

🚀 What the CISO organisation of the future might actually look like

And, of course, we recorded this one with a pretty spectacular backdrop on the Vegas Strip. 🌴

A really interesting conversation about AI agents, cybersecurity operations, the future of the SOC and what the next generation of security teams could look like.

What happens when cyber criminals can use AI to convincingly impersonate the people your organisation trusts most?

In this episode of Cyber Conversations, Katie Soper sits down with Chris Pierson, Founder & CEO of BlackCloak, to explore how the attack surface has expanded beyond the four walls of the organisation - and why executives, their families and the people around them are increasingly becoming targets.

Chris shares the story behind BlackCloak and why he saw a gap in traditional cybersecurity when it came to protecting executives in their personal lives.

We get into 👇

🏠 Why the home has become another cybersecurity battleground - and how remote work dramatically expanded the attack surface.

🤖 How AI is changing impersonation attacks - with deepfake video and audio becoming increasingly convincing.

💻 Why detection alone isn't enough - particularly when attackers can choose from so many different communication channels.

👤 Why executives are particularly vulnerable - their photos, videos, voices and personal information are already publicly available.

👨‍👩‍👧 The growing importance of the 'circle of trust' - extending protection beyond the executive to family members, assistants, advisors and other trusted contacts.

💸 The financial impact of deepfake fraud - including the real-world consequences of convincing executive impersonation.

🔐 Why security needs to work around people's lives, rather than simply telling them what they can and can't do.

As AI continues to make impersonation cheaper, faster and more convincing, protecting an organisation increasingly means thinking about the people behind it - and the digital lives that exist beyond the corporate environment.

A conversation about AI deepfakes, executive protection, cyber fraud, privacy and the changing human attack surface.

Who protects us when the machines become the threat?

In this episode of Cyber Conversations, I’m joined by Eyal Dykan, President and Co-Founder of Alice, and Mo, Technical Director at Alice, to talk about the rapidly changing world of AI security.

We get into 👇

🔹 How Alice evolved from years of trust & safety and threat intelligence into the AI era
🔹 Why the attack surface around AI systems, agents and autonomous workflows is expanding so quickly
🔹 What happens when humans use machines to carry out attacks against other people
🔹 Why real-world threat intelligence and understanding attacker behaviour is so important
🔹 How attackers are becoming cheaper, faster and more scalable with AI
🔹 Why security teams need to think like the attackers, not just the defenders
🔹 And what the future could look like as AI systems become increasingly autonomous

We also talk about the thinking behind Alice's Wonderland branding, why the team deliberately wanted to move away from the fear-driven side of cybersecurity, and the importance of keeping people at the centre of the technology we're building.

A really interesting conversation about AI security, trust & safety, threat intelligence and what happens when the machines start becoming part of the threat landscape.

What does the future of cybersecurity actually look like?

In this episode of Cyber Conversations, I’m joined by Arik Kleinstein, Co-Founder & Managing Partner at Glilot Capital, to talk about the changing cybersecurity landscape and what he’s seeing from an investor’s perspective.

We get into 👇

🔹 How AI is changing the cybersecurity market
🔹 What makes a cybersecurity company stand out in an increasingly crowded space
🔹 Where Arik is seeing the biggest opportunities for founders
🔹 What investors are looking for in the next generation of cyber companies
🔹 How the threat landscape is evolving alongside new technology
🔹 And where he thinks cybersecurity is heading next

With Glilot having been investing in cybersecurity for years, Arik brings a really interesting perspective on what has changed, what hasn't, and where the market could be going next.

If you're building, investing in, or simply following the cybersecurity space, this is a good one to tune into.

In this episode of Cyber Conversations, recorded live at Black Hat, I’m joined by Yuval, Co-Founder & CTO of A Security, to talk about how AI is changing offensive security, vulnerability management and the way organisations need to think about defending themselves.

We talk about the shift from human-speed attacks to machine-speed attacks, and why security teams may need to rethink approaches that have been standard practice for years.

We cover:

🤖 AI-powered attacks - what happens when attackers can operate at machine speed and scale?

🔍 The future of vulnerability management - why continuously identifying exploitable attack paths could become more important than simply managing thousands of CVEs.

⚔️ Offensive security - why organisations need to start thinking like attackers before vulnerabilities make their way into production.

🔄 Continuous security - if code is changing every day, does an annual penetration test still make sense?

🛠️ Remediation - why finding problems isn't enough and security teams need to be able to actually drive fixes.

👥 People & culture - Yuval also shares what he's learned building A Security, why the team is such a huge part of the company's identity, and what it takes to build in such a fast-moving market.

A really interesting conversation about AI, offensive security, vulnerability management and what security looks like when everything starts moving at machine speed.

The cybersecurity landscape has changed dramatically in the last few months - and security teams are being asked to respond faster than ever.

In this live Black Hat episode of Cyber Cofersations, Katie Soper sits down with Seemplicity's team to discuss how exposure management is evolving and why identifying vulnerabilities is only one part of the problem.The conversation explores:

🔍 Why exposure management is becoming more important, but traditional approaches are becoming less relevant⚡ The growing need to move from exposure management into exposure response and remediation🤖 Why AI is accelerating both the threat landscape and the expectations placed on security teams💰 The reality of the cost and complexity of building AI capabilities internally🧑‍💻 How the role of the security practitioner is changing🏢 Why boards and leadership teams are putting more pressure on security teams to respond to AI-related risks🔄 Why organisations need both evolution and revolution in the way they approach security🚀 How AI can turn manual processes that take weeks into processes that take hours

With the pace of change accelerating, the question is no longer simply "What vulnerabilities do we have?"

It's "How quickly can we understand, prioritise and actually fix them?"

A conversation about exposure management, AI, vulnerability remediation and what security teams need to do differently as the threat landscape continues to evolve.