Can you prove you’re actually human? In a world of AI deepfakes, synthetic identities, and evolving cybersecurity threats, digital identity is more critical than ever.

With AI-generated voices, fake videos, and evolving fraud tactics, the way we authenticate ourselves online is rapidly changing. So, what’s the future of digital identity? And how can you protect yourself in this new era?

In this episode, hosts Caleb Sima and Ashish Rajan is joined by Adrian Ludwig, CISO at Tools For Humanity (World ID project), former Chief Trust Officer at Atlassian, and ex-Google security lead for Android. Together, they explore:

• Why digital identity is fundamentally broken and needs a major reboot
• The rise of AI-powered identity fraud and how it threatens security
• How World ID is using blockchain and biometrics to verify real humans
• The debate: Should we trust governments, companies, or decentralized systems with our identity?
• The impact of GenAI & deepfakes on authentication and online trust

Questions asked:

(00:00) Introduction

(03:55) Digital Identity in 2025

(14:13) How has AI impacted Identity?

(29:33) Trust and Transparency with AI

(32:18) Authentication and Identity

(49:53) What can people do today?

(52:05) Where can people learn about World Foundation?

(53:49) Adoption of new identity protocols

Resources spoken about during the episode:

Tools for Humanity

World.org

AI is evolving fast, and AI agents are the latest buzzword. But what exactly are they? Are they truly intelligent, or just automation in disguise? In this episode, Caleb Sima and Ashish Rajan spoke to Daniel Miessler—a cybersecurity veteran who is now deep into AI security research.

🎙️ In this episode, we cover:

✅ What AI agents really are (and what they’re NOT)

✅ How AI is shifting from searching to making decisions

✅ The biggest myths and misconceptions about AI automation

✅ Why most companies calling their tools “AI agents” are misleading you

✅ How AI agents will impact cybersecurity, business, and the future of work

✅ The security risks and opportunities no one is talking about

Questions asked:

(00:00) Introduction

(03:50) What are AI Agents?

(06:53) Use case for AI Agents

(14:39) Can AI Agents be used for security today?

(22:06) AI Agent’s impact on Attackers and Defenders in Cybersecurity

(37:05) AI Agents and Non Human Identities

(45:22) The big picture with AI Agents

(48:28) Transparency and Ethics for AI Agents

(58:36) Whats exciting about future of AI Agents?

(01:08:00) Would there still be value for foundational knowledge

AI is revolutionizing many things, but how does it impact detection engineering and SOC teams? In this episode, we sit down withDylan Williams, a cybersecurity practitioner with nearly a decade of experience in blue team operations and detection engineering. We speak about how AI is reshaping threat detection and response, the future role of detection engineers in an AI-driven world, can AI reduce false positives and speed up investigations, the difference between automation vs. agentic AI in security and practical AI tools you can use right now in detection & response

Questions asked:

(00:00) Introduction

(02:01) A bit about Dylan Williams

(04:05) Keeping with up AI advancements

(06:24) Detection with and without AI

(08:11) Would AI reduce the number of false positives?

(10:28) Does AI help identity what is a signal?

(14:18) The maturity of the current detection landscape

(17:01) Agentic AI vs Automation in Detection Engineering

(19:35) How prompt engineering is evolving with newer models?

(25:52) How AI is imapcting Detection Engineering today?

(36:23) LLM Models become the detector

(42:03) What will be the future of detection?

(47:58) What can detection engineers practically do with AI today?

(52:57) Favourite AI Tool and Final thoughts on Detection Engineering

Resources spoken about during the episode:

exa.ai - The search engine for AI

Building effective agents (Athropic’s blog different architecture and design patterns for agents)-https://www.anthropic.com/research/building-effective-agents -

Introducing Ambient Agents (LangChain’s blog on Ambient Agents) -https://blog.langchain.dev/introducing-ambient-agents/ -

Jared Atkinson’s Blog on Capability Abstraction -https://posts.specterops.io/capability-abstraction-fbeaeeb26384

LangGraph Studio -https://studio.langchain.com/

n8n -https://n8n.io/

Flowise -https://flowiseai.com/

CrewAI -https://www.crewai.com/

Welcome to 2025! In this episode our hosts Ashish Rajan and Caleb Sima, tackle the pressing question: What should your AI cybersecurity game plan look like this year?

The rapid evolution of agentic AI—where AI agents can perform tasks autonomously—is set to transform businesses, but it comes with unprecedented security challenges. From the resurgence of Identity and Access Management (IAM) to the urgent need for least privilege strategies, this episode captures actionable insights for CISOs and security leaders.

Questions asked:

(00:00) Introduction

(01:59) The current state of AI in Enterprise

(10:22) Different Levels of Agentic AI

(12:05) CISO AI Cybersecurity Game plan for 2025

(15:57) IAM’s fire comeback

(23:11) Top 3 things for AI Cybersecurity Plan

In this episode, to kick of 2025, we dive deep into AI and cybersecurity predictions for 2025 exploring the opportunities, challenges, and trends shaping the future of the industry.

Our hosts, Ashish Rajan and Caleb Sima sat down to discuss the evolution of SOC automation and its real-world impact on cybersecurity, the practical use cases for AI-enhanced security tools in organizations, why data security might be the real winner in 2025, the potential of agentic AI and its role in transforming security operations and predictions for AI-powered startups and their production-ready innovations in 2025.

Questions asked:

(00:00) Introduction

(06:32) Current AI Innovation in Cybersecurity

(21:57) AI Security Predictions for 2025

(25:02) Data Security and AI in 2025

(30:56) The rise of Agentic AI

(35:40) Planning for AI Skills in the team

(42:53) What to ditch from 2024?

(48:00) AI Making Security Predictions for 2025

Host Caleb Sima and Ashish Rajan caught up with experts Daniel Miessler (Unsupervised Learning), Joseph Thacker (Principal AI Engineer, AppOmni) to talk about the true vulnerabilities of AI applications, how prompt injection is evolving, new attack vectors through images, audio, and video and predictions for AI-powered hacking and its implications for enterprise security.

Whether you're a red teamer, a blue teamer, or simply curious about AI's impact on cybersecurity, this episode is packed with expert insights, practical advice, and future forecasts. Don’t miss out on understanding how attackers leverage AI to exploit vulnerabilities—and how defenders can stay ahead.

Questions asked:

(00:00) Introduction

(02:11) A bit about Daniel Miessler

(02:22) A bit about Rez0

(03:02) Intersection of Red Team and AI

(07:06) Is red teaming AI different?

(09:42) Humans or AI: Better at Prompt Injection?

(13:32) What is a security vulnerability for a LLM?

(14:55) Jailbreaking vs Prompt Injecting LLMs

(24:17) Whats new for Red Teaming with AI?

(25:58) Prompt injection in Multimodal Models

(27:50) How Vulnerable are AI Models?

(29:07) Is Prompt Injection the only real threat?

(31:01) Predictions on how prompt injection will be stored or used

(32:45) What’s changed in the Bug Bounty Toolkit?

(35:35) How would internal red teams change?

(36:53) What can enterprises do to protect themselves?

(41:43) Where to start in this space?

(47:53) What are our guests most excited about in AI?

Resources

Daniel's Webpage - Unsupervised Learning

Joseph's Website

In this jam-packed episode, with our panel we explored the current state and future of AI in the cybersecurity landscape. Hosts Caleb Sima and Ashish Rajan were joined by industry leaders Jason Clinton (CISO, Anthropic), Kristy Hornland (Cybersecurity Director, KPMG) and Vijay Bolina (CISO, Google DeepMind) to dive into the critical questions surrounding AI security.

Questions asked:

(00:00) Introduction

(02:28) A bit about Kristy Hornland

(02:50) A bit about Jason Clinton

(03:08) A bit about Vijay Bolina

(04:04) What are frontier/foundational models?

(06:13) Open vs Closed Model

(08:02) Securing Multimodal models and inputs

(12:03) Business use cases for AI use

(13:34) Blindspots with AI Security

(27:19) What is RPA?

(27:47) AI’s talking to other AI’s

(32:31) Third Party Risk with AI

(38:42) Enterprise view of risk with AI

(40:30) CISOs want Visibility of AI Usage

(45:58) Third Party Risk Management for AI

(52:58) Starting point for AI in cybersecurity program

(01:02:00) What the panelists have found amazing about AI

In this episode of the AI Cybersecurity Podcast, Caleb and Ashish sat down with Vijay Bolina, Chief Information Security Officer at Google DeepMind, to explore the evolving world of AI security. Vijay shared his unique perspective on the intersection of machine learning and cybersecurity, explaining how organizations like Google DeepMind are building robust, secure AI systems.

We dive into critical topics such as AI native security, the privacy risks posed by foundation models, and the complex challenges of protecting sensitive user data in the era of generative AI. Vijay also sheds light on the importance of embedding trust and safety measures directly into AI models, and how enterprises can safeguard their AI systems.

Questions asked:

(00:00) Introduction

(01:39) A bit about Vijay

(03:32) DeepMind and Gemini

(04:38) Training data for models

(06:27) Who can build an AI Foundation Model?

(08:14) What is AI Native Security?

(12:09) Does the response time change for AI Security?

(17:03) What should enterprise security teams be thinking about?

(20:54) Shared fate with Cloud Service Providers for AI

(25:53) Final Thoughts and Predictions

What were the key AI Cybersecurity trends at ⁠BlackHat USA⁠? In this episode of the AI Cybersecurity Podcast, hosts ⁠Ashish Rajan⁠ and ⁠Caleb Sima⁠ dive into the key insights from Black Hat 2024. From the AI Summit to the CISO Summit, they explore the most critical themes shaping the cybersecurity landscape, including deepfakes, AI in cybersecurity tools, and automation. The episode also features discussions on the rising concerns among CISOs regarding AI platforms and what these mean for security leaders.

Questions asked:

(00:00) Introduction

(02:49) Black Hat, DEF CON and RSA Conference

(07:18) Black Hat CISO Summit and CISO Concerns

(11:14) Use Cases for AI in Cybersecurity

(21:16) Are people tired of AI?

(21:40) AI is mostly a side feature

(25:06) LLM Firewalls and Access Management

(28:16) The data security challenge in AI

(29:28) The trend with Deepfakes

(35:28) The trend of pentest automation

(38:48) The role of an AI Security Engineer

In this episode of the AI Cybersecurity Podcast, we dive deep into the latest findings from Google's DeepMind report on the misuse of generative AI. Hosts Ashish and Caleb explore over 200 real-world cases of AI misuse across critical sectors like healthcare, education, and public services. They discuss how AI tools are being used to create deepfakes, fake content, and more, often with minimal technical expertise. They analyze these threats from a CISO's perspective but also include an intriguing comparison between human analysis and AI-generated insights using tools like ChatGPT and Anthropic's Claude. From the rise of AI-powered impersonation to the manipulation of public opinion, this episode uncovers the real dangers posed by generative AI in today’s world.

Questions asked:

(00:00) Introduction

(03:39) Generative Multimodal Artificial Intelligence

(09:16) Introduction to the report

(17:07) Enterprise Compromise of GenAI systems

(20:23) Gen AI Systems Compromise

(27:11) Human vs Machine

Resources spoken about during the episode:

Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data