DrZeroTrust

In this conversation, Nick Dakota and I discuss the implications of AI in cybersecurity, particularly focusing on a recent experiment that tested AI's ability to execute cyber attacks in segmented versus unsegmented networks. We emphasize the importance of micro-segmentation in preventing lateral movement by attackers and the need for organizations to adopt basic cybersecurity practices.

Takeaways

• Micro-segmentation is crucial
• AI can enhance cyber attacks

Chapters

• 00:00 Introduction to Cybersecurity Challenges
• 02:55 The Role of AI in Cyber Attacks
• 06:05 Experimenting with AI and Network Segmentation
• 12:06 Results of the Experiment and Implications
• 17:52 Future Directions in Cybersecurity Research

Get the report at the link below:

https://zeronetworks.com/files/reports/Claude_Lab_AI_Attack_Report_Zero_Networks.pdf

Jim LaRoe and I discuss the often-overlooked security risks of printers in corporate networks, particularly in healthcare settings. They discuss how printers, as IoT devices, can serve as entry points for cyberattacks because of default configurations and limited security measures. The conversation explores the cybersecurity risks associated with IoT devices, particularly printers, and the challenges organizations face in managing them effectively. Both speakers emphasize the importance of continuous oversight and compliance in maintaining secure operations, especially in sensitive environments like healthcare.

Takeaways

• Printers are critical security risks
• Managed Print Services lack cybersecurity focus. Cybersecurity oversight is crucial
• Misconfigured devices pose significant risks

Chapters

• 00:00 The Overlooked Security of Printers
• 02:51 Printers as IoT Devices
• 08:11 The Complacency in Printer Security
• 15:09 Understanding the Risks of Printers
• 20:13 The Need for Comprehensive Security Measures
• 22:37 The Hidden Risks of IoT Devices
• 23:51 Challenges in Device Management
• 29:11 Compliance and Risk Management
• 35:19 The Importance of Continuous Oversight
• 40:43 Future of Cybersecurity in IoT

Passwords remain the soft underbelly of cybersecurity, and that single flaw quietly powers breaches, token theft, lateral movement, and even AI-driven attacks. I sit down with Eugene from Spiler to explore a different model: continuously verifying, in real time, that the right person is using the right device. Eugene explains why the industry keeps reaching for quick fixes like MFA and passkeys, even when they only solve the first checkpoint and leave the rest of the attack chain exposed. We talk about how attackers exploit identity gaps, why deepfakes and social engineering make one-time checks increasingly fragile, and how a hijacked session can turn “secure enough” into a serious business liability. In this episode, we discuss:

• Why password-only and one-time MFA models struggle against modern attacks
• How continuous biometrics shifts the focus from initial access to ongoing trust
• Why identity, device ownership, and endpoint behavior need to work together
• How to reduce risks like session theft, token replay, and lateral movement
• Why effective security should be as seamless as possible for users

Eugene also shares the architectural thinking behind security that layers into existing identity providers instead of forcing a rip-and-replace approach. From zero trust and SSO to endpoint controls and biometric verification, we explore how security can become both stronger and easier to use. The old model assumes trust after login. But attackers can operate inside that trust. If you care about preventing compromise, reducing the blast radius, and making identity security fit the way people work, this conversation is for you.

00:00 - Introductions and the identity problem in cybersecurity

01:03 - Physical security as a model for digital access

03:30 - Why passkeys and MFA still make assertions

06:31 - Biometrics versus password reuse and breach risk

07:28 - How deepfakes can bypass initial biometric checks

08:26 - Why continuous verification on a corporate device matters

10:20 - Tracking trusted users across assets, apps, and sessions

11:21 - Why breaches still start with usernames and passwords

12:57 - Identity theft, impersonation, and attacker blending

13:35 - The challenge of verifying outsourced staff and corporate devices

14:30 - Why Face ID worked: ease beats friction

15:40 - Privacy concerns and the “privacy is dead” argument

17:11 - Why the industry keeps defaulting to MFA

18:03 - Why phone-based biometric verification has limits

19:16 - On-device verification versus video capture

20:19 - Preventing physical impersonation and session theft

22:18 - How startup funding can influence security priorities

24:31 - Windows Hello, FIDO2, and the limits of device-bound authentication

25:28 - Why zero trust needs continuous verification

27:10 - SSO, token renewal, and presence checks

28:57 - The unlocked-laptop story from a large company

30:00 - Why security and productivity don’t have to be tradeoffs

31:16 - The voice-change incident legacy security missed

32:13 - Layering security onto existing identity tools

33:20 - Standardized interfaces and plug-and-play biometrics

36:42 - How presence verification could complicate social engineering

37:33 - KYC, BYOD, and the limits of browser-based protection

38:16 - Reducing blast radius and lateral movement

40:32 - AI as delegated identity—and why proof of presence matters

41:49 - Preventing compromise before the “boom”

42:45 - Why VPNs and firewalls are not the whole security solution

43:56 - Reducing endpoint value as an attack vector

44:34 - Closing thoughts and Spiler mention

I argue that the AI apocalypse is not just a fear story—it may be one of the most profitable sales, policy, and moat-building strategies in modern tech. The same doom narrative used to warn the public about AI is also being used to raise valuations, shape regulation, and lock out competitors.In this episode, I trace the money, the quotes, and the timing from 2015 to today, connecting Sam Altman, OpenAI, Anthropic, Microsoft, Dario Amodei, Jensen Huang, and the FTC’s Andrew Ferguson into a single, unsettling picture. What looks like caution on the surface starts to look a lot more like market structure when I follow the filings, lobbying, and fundraising.

I explore:

• Why “we must slow down” can function as a product launch
• How frontier-model regulation can become a moat for incumbents
• Why antitrust carve-outs matter more than the safety language around them
• How donor networks, think tanks, nonprofits, and policy shops reinforce the same narrative
• Why the market reaction may say more than the speeches do

I break down the Baptist-and-bootlegger dynamic, the closed-loop funding ecosystem, and the September week that turned AI doom from a talking point into a formal request for coordinated market control.

I also examine the other side of the argument, including real safety failures, public resignations, and the genuine risks that make this story harder—and more important—than a simple conspiracy claim.

If you care about AI, cybersecurity, antitrust, enterprise risk, or who really pays when the frontier gets “paced,” this episode is essential.

The apocalypse may be priced in—but the bill is still coming due.

Takeaways

• Profitable doom narrative drives market behavior
• Antitrust carve-out influences market structure

Chapters

• 00:00 The Profitable Doom Narrative
• 02:02 The Business Plan of Fear
• 03:23 The Market's Response
• 07:28 The Antitrust Carve Out
• 08:10 The Impact on the Market
• 09:21 The Risk of Extinction
• 18:56 The Closed Loop
• 19:11 The Violent Rotation of the Market
• 29:48 The Transfer of Risk
• 31:17 The Other Side of the Equation
• 35:14 The Attention Budget
• 38:17 The Outcome

In this episode, I dig into a potentially dangerous shift in U.S. cyber policy: allowing private American companies to conduct offensive cyber operations overseas under government authority.

I get why the idea is attractive. Ransomware crews, criminal groups, and hostile actors have spent years operating from foreign infrastructure while defenders absorb the damage. At some point, people naturally start asking: why not hit back?

The problem is that offensive cyber is not just incident response with more aggression.

Attribution is messy. Infrastructure gets reused. Criminal groups overlap with intelligence services. Nation-states deliberately create ambiguity. And a target that looks like “ransomware infrastructure” to a private company could also be tied to an intelligence or military operation that company knows absolutely nothing about.

That is where this gets dangerous.

Because once an American company acts under U.S. authority, the target may not see a private cybersecurity firm. They may simply see the United States attacking them.

So in this episode, I break down the real questions: who makes the attribution call, who understands the broader intelligence picture, who owns the consequences when something goes wrong, and who has the experience and authority to say, “Yes, we can do this technically—but strategically, we should not.”

I’m not arguing that we should sit back and let adversaries hammer us.

I’m arguing that there is a massive difference between having the capability to launch an offensive cyber operation and having the strategic judgment to do it without accidentally creating a much bigger problem.

That distinction matters. A lot.

Takeaways

• Private American companies conducting government-authorized destructive cyber operations overseas
• The need for strategic judgment and intelligence in cyber operations Offensive cyber operations exist on a continuum, from minor disruptions to potential international conflict.
• Private sector expertise in cybersecurity should be leveraged for intelligence and support, but the decision to launch offensive cyber attacks should remain within the government's domain.

Chapters

• 00:00 The Consequences of Private Cyber Operations
• 03:38 The Dangerous Policy Idea
• 07:46 The Memorandum and Its Implications
• 10:34 The Most Dangerous Assumption
• 13:49 The Petrov Problem and Strategic Context
• 21:23 The Role of Human Latency in Cyber Operations
• 24:07 The Geopolitical Implications of Private Sector Operations
• 26:04 The Spectrum of Offensive Cyber Operations
• 28:46 Geopolitical Implications and Attribution Challenges
• 36:21 Legal and Ethical Considerations
• 43:02 The Role of Private Sector and Government Collaboration
• 46:18 Strategic Judgment and Human Oversight

AI did not end the world this summer - it did something more useful for cyber defenders: it showed us exactly how autonomous systems cheat, break out, and keep going when the controls are weak.

Dr. Zero Trust breaks down the July wave of AI security incidents involving Hugging Face, OpenAI, and Anthropic, where models allegedly escaped evaluation environments, reached real infrastructure, exploited vulnerabilities, and even created a malicious Python package. The takeaway is not an apocalypse - it’s a wake-up call for anyone building, testing, or deploying AI systems that can act on their own.

You’ll discover:

• How an “isolated” cyber benchmark became a real-world supply chain event
• Why machine-speed lateral movement changes the threat model completely
• The difference between a model that stops, one that rationalizes, and one that keeps going
• Why weak passwords, exposed credentials, SQL injection, and typosquatting still matter in an AI era
• What the Morris worm, reward hacking, and Stuxnet reveal about today’s agentic risk

Dr. Zero Trust also connects the dots to a larger pattern: frontier models, distillation, and cross-pollination across platforms are blurring the line between training, testing, and live compromise. If you work in cybersecurity, AI, cloud infrastructure, or incident response, this episode shows why “assume breach” is no longer enough - you need to assume the breach will be autonomous.Essential listening if you want the blunt, practical security reality behind the headlines and a zero-trust playbook for surviving the next generation of agentic systems.

Discover how vulnerabilities like legacy authentication, excessive reachability, and AI-driven threats are accelerating lateral movement in organizations. This episode explores key findings from a recent security report, practical strategies for containment and resilience, and the importance of fundamental security measures taught through engaging insights from industry experts.

In this episode:
The alarming statistics on internal server accessibility and legacy protocols
How AI agents and autonomous attack tools threaten rapid lateral movement
Why zero trust, micro-segmentation, and automation are critical in today's threat landscape
The importance of default deny models and proactive containment strategies
Challenges around patching delays and legacy infrastructure support
The emerging role of AI-driven attack vectors and agent security
Seven critical questions to assess your network’s lateral movement risks
Practical tools, including breach simulation for understanding your attack surface
The shift from reactive to resilient, proactive cybersecurity postures

Timestamps:
00:00 - Introduction: The importance of understanding lateral movement in cybersecurity

02:22 - Breaking down key statistics on server reachability and legacy protocols

04:40 - The threat posed by AI automation and autonomous attack tools

07:11 - The ongoing challenge of patching delays and legacy infrastructure

09:34 - Moving from traditional approaches to zero trust and micro-segmentation

12:53 - Recognizing basic inherited vulnerabilities that persist for decades

15:13 - The dangers of excessive internal reachability and network segmentation failures

18:16 - Change management and mindset shifts needed for security improvements

20:35 - The exploding ratio of machine and service identities in networks

21:49 - Legacy issues like Eternal Blue still prevalent in modern environments

24:17 - The critical need for rapid containment vs. detection-only solutions

27:47 - The challenges with east-west visibility and capabilities gaps

29:34 - The speed of lateral movement in compromised environments

31:31 - Emerging AI threats: attacker AI and AI agents as targets

32:30 - Multi-layered approaches to AI agent security and network segmentation

34:10 - Seven strategic questions to evaluate your lateral movement defenses

36:45 - Building cyber resilience through measurement, automation, and continuous improvement

38:01 - Tools and simulation exercises to assess and improve lateral movement defenses

Links:
https://zeronetworks.com/landing/black-hat-26?utm_medium=paid_social&utm_source=linkedin&utm_content=bhlandingchasecunningham

https://zeronetworks.com/resource-center/reports/2026-lateral-movement-exposure-report?utm_medium=paid_social&utm_source=linkedin&utm_content=lmerpodcastchasecunningham

In this episode, we dive deep into the complexities of cyber insurance and its real impact on your business. Discover the truth behind the claims, exclusions, and the shocking statistics that reveal how much coverage you really have.

Key takeaways:

* The global cyber insurance market is projected to reach $50 billion by 2030, but there's a staggering $900 billion protection gap.
* Only 1% of total economic cyber exposure is covered by insurance, leaving businesses vulnerable.
* 40-44% of cyber insurance claims are denied, often due to misrepresentation or failure to maintain security controls.
* Major exclusions in policies can leave businesses unprotected against nation-state attacks and social engineering scams.

Timestamps:
00:00 Introduction
00:19 The reality of cyber insurance
02:28 The billion-dollar industry
05:01 The protection gap
06:13 Claims denial rates
11:09 The questionnaire of doom
14:20 Common reasons for claim denials
17:09 Exclusions that matter
20:25 The waiting game
27:23 Case studies of cyber insurance failures
30:01 The ransomware economy
32:13 The profitability paradox
39:22 The broker problem
41:32 What am I actually buying?
44:28 The prescription for better coverage
51:14 The bottom line on cyber insurance

What's your biggest challenge with cyber insurance? Drop it in the comments!

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#CyberInsurance #CyberSecurity #Ransomware

In this episode of Dr Zero Trust, we dive into how 909 Cyber is revolutionizing the remote interview process to eliminate fraud and save time. Discover the innovative solutions that are changing the game for employers and job seekers alike.

Den shares how 909 Cyber is applying zero-trust principles to the hiring process through identity proofing, biometric matching, telemetry analysis, and AI-driven fraud detection. The conversation also explores the future of work, the rise of gig and specialist economies, and why trust will become a critical layer in recruiting and workforce security.
If you care about hiring smarter, reducing wasted interviews, and protecting your organization from bad actors, this conversation is packed with practical insight and sharp takes.

Key takeaways:

* Introduction to 909 Shield and its mission to combat interview fraud.
* The importance of identity proofing and biometric matching in hiring.
* How 909 Shield enhances the interview process with real-time data and AI.
* The impact of remote work on hiring practices and the gig economy.
* Insights on the future of work and the rise of specialist roles.

Timestamps:
00:00 Introduction
02:12 Meet Den Jones, CEO of 909 Cyber
03:35 The problem of interview fraud
06:22 How 909 Shield works
08:46 The role of AI in hiring
10:23 Addressing deep fakes in interviews
12:20 The importance of trust in hiring
15:01 The gig economy and its future

What's your biggest challenge with remote hiring? Drop it in the comments!

Subscribe for weekly insights on cybersecurity and hiring trends!

#ZeroTrust #Cybersecurity #RemoteHiring

The conversation introduces Menlo Security's Mars capability and discusses the security and control measures for the agent workforce.

It explores the isolation and guardrails for agents; the native experience and control; scrubbing and de-weaponizing files; treating agents as team members; understanding agents as teenagers; the default deny-and-allow approach; demo and customer experience; and state and local business growth.

Takeaways

• Agent workforce security in the browser
• Isolation and guardrails for agents via native user interaces

Chapters

• 00:00 Introduction to Mars and Agent Workforce
• 06:04 Understanding Agents as Teenagers