This week on the Lock and Code podcast…

There’s a bizarre thing happening online right now where everything is getting worse.

Your Google results have become so bad that you’ve likely typed what you’re looking for, plus the word “Reddit,” so you can find discussion from actual humans. If you didn’t take this route, you might get served AI results from Google Gemini, which once recommended that every person should eat “at least one small rock per day.” Your Amazon results are a slog, filled with products that have surreptitiously paid reviews. Your Facebook feed could be entirely irrelevant because the company decided years ago that you didn’t want to see what your friends posted, you wanted to see what brands posted, because brands pay Facebook, and you don’t, so brands are more important than your friends.

But, according to digital rights activist and award-winning author Cory Doctorow, this wave of online deterioration isn’t an accident—it’s a business strategy, and it can be summed up in a word he coined a couple of years ago: Enshittification.

Enshittification is the process by which an online platform—like Facebook, Google, or Amazon—harms its own services and products for short-term gain while managing to avoid any meaningful consequences, like the loss of customers or the impact of meaningful government regulation. It begins with an online platform treating new users with care, offering services, products, or connectivity that they may not find elsewhere. Then, the platform invites businesses on board that want to sell things to those users. This means businesses become the priority and the everyday user experience is hindered. But then, in the final stage, the platform also makes things worse for its business customers, making things better only for itself.

This is how a company like Amazon went from helping you find nearly anything you wanted to buy online to helping businesses sell you anything you wanted to buy online to making those businesses pay increasingly high fees to even be discovered online. Everyone, from buyers to sellers, is pretty much entrenched in the platform, so Amazon gets to dictate the terms.

Today, on the Lock and Code podcast with host David Ruiz, we speak with Doctorow about enshittification’s fast damage across the internet, how to fight back, and where it all started.

 ”Once these laws were established, the tech companies were able to take advantage of them. And today we have a bunch of companies that aren’t tech companies that are nevertheless using technology to rig the game in ways that the tech companies pioneered.”

Tune in today to listen to the full conversation.

Show notes and credits:

Intro Music: “Spellbound” by Kevin MacLeod (incompetech.com)
Licensed under Creative Commons: By Attribution 4.0 License
http://creativecommons.org/licenses/by/4.0/
Outro Music: “Good God” by Wowa (unminus.com)

Listen up—Malwarebytes doesn’t just talk cybersecurity, we provide it.

Protect yourself from online attacks that threaten your identity, your files, your system, and your financial well-being with our exclusive offer for Malwarebytes Premium Security for Lock and Code listeners.

This week on the Lock and Code podcast…

There’s a bizarre thing happening online right now where everything is getting worse.

Your Google results have become so bad that you’ve likely typed what you’re looking for, plus the word “Reddit,” so you can find discussion from actual humans. If you didn’t take this route, you might get served AI results from Google Gemini, which once recommended that every person should eat “at least one small rock per day.” Your Amazon results are a slog, filled with products that have surreptitiously paid reviews. Your Facebook feed could be entirely irrelevant because the company decided years ago that you didn’t want to see what your friends posted, you wanted to see what brands posted, because brands pay Facebook, and you don’t, so brands are more important than your friends.

But, according to digital rights activist and award-winning author Cory Doctorow, this wave of online deterioration isn’t an accident—it’s a business strategy, and it can be summed up in a word he coined a couple of years ago: Enshittification.

Enshittification is the process by which an online platform—like Facebook, Google, or Amazon—harms its own services and products for short-term gain while managing to avoid any meaningful consequences, like the loss of customers or the impact of meaningful government regulation. It begins with an online platform treating new users with care, offering services, products, or connectivity that they may not find elsewhere. Then, the platform invites businesses on board that want to sell things to those users. This means businesses become the priority and the everyday user experience is hindered. But then, in the final stage, the platform also makes things worse for its business customers, making things better only for itself.

This is how a company like Amazon went from helping you find nearly anything you wanted to buy online to helping businesses sell you anything you wanted to buy online to making those businesses pay increasingly high fees to even be discovered online. Everyone, from buyers to sellers, is pretty much entrenched in the platform, so Amazon gets to dictate the terms.

Today, on the Lock and Code podcast with host David Ruiz, we speak with Doctorow about enshittification’s fast damage across the internet, how to fight back, and where it all started.

 ”Once these laws were established, the tech companies were able to take advantage of them. And today we have a bunch of companies that aren’t tech companies that are nevertheless using technology to rig the game in ways that the tech companies pioneered.”

Tune in today to listen to the full conversation.

Show notes and credits:

Intro Music: “Spellbound” by Kevin MacLeod (incompetech.com)
Licensed under Creative Commons: By Attribution 4.0 License
http://creativecommons.org/licenses/by/4.0/
Outro Music: “Good God” by Wowa (unminus.com)

Listen up—Malwarebytes doesn’t just talk cybersecurity, we provide it.

Protect yourself from online attacks that threaten your identity, your files, your system, and your financial well-being with our exclusive offer for Malwarebytes Premium Security for Lock and Code listeners.

This week on the Lock and Code podcast…

There’s an entire surveillance network popping up across the United States that has likely already captured your information, all for the non-suspicion of driving a car.

Automated License Plate Readers, or ALPRs, are AI-powered cameras that scan and store an image of every single vehicle that passes their view. They are mounted onto street lights, installed under bridges, disguised in water barrels, and affixed onto telephone poles, lampposts, parking signs, and even cop cars.

Once installed, these cameras capture a vehicle’s license plate number, along with its make, model, and color, and any identifying features, like a bumper sticker, or damage, or even sport trim options. Because nearly every ALPR camera has an associated location, these devices can reveal where a car was headed, and at what time, and by linking data from multiple ALPRs, it’s easy to determine a car’s daylong route and, by proxy, it’s owner’s daily routine.

This deeply sensitive information has been exposed in recent history.

In 2024, the US Cybersecurity and Information Security Agency discovered seven vulnerabilities in cameras made by Motorola Solutions, and at the start of 2025, the outlet Wired reported that more than 150 ALPR cameras were leaking their live streams.

But there’s another concern with ALPRs besides data security and potential vulnerability exploits, and that’s with what they store and how they’re accessed.

ALPRs are almost uniformly purchased and used by law enforcement. These devices have been used to help solve crime, but their databases can be accessed by police who do not live in your city, or county, or even state, and who do not need a warrant before making a search.

In fact, when police access the databases managed by one major ALPR manufacturer, named Flock, one of the few guardrails those police encounter is needing to type a single word in a basic text box. When Electronic Frontier Foundation analyzed 12 million searches made by police in Flock’s systems, they learned that police sometimes filled that text box with the word “protest,” meaning that police were potentially investigating activity that is protected by the First Amendment.

Today, on the Lock and Code podcast with host David Ruiz, we speak with Will Freeman, founder of the ALRP-tracking project DeFlock Me, about this growing tide of neighborhood surveillance and the flimsy protections afforded to everyday people.

“License plate readers are a hundred percent used to circumvent the Fourth Amendment because [police] don’t have to see a judge. They don’t have to find probable cause. According to the policies of most police departments, they don’t even have to have reasonable suspicion.”

Tune in today to listen to the full conversation.

Show notes and credits:

Intro Music: “Spellbound” by Kevin MacLeod (incompetech.com)
Licensed under Creative Commons: By Attribution 4.0 License
http://creativecommons.org/licenses/by/4.0/
Outro Music: “Good God” by Wowa (unminus.com)

Listen up—Malwarebytes doesn’t just talk cybersecurity, we provide it.

Protect yourself from online attacks that threaten your identity, your files, your system, and your financial well-being with our exclusive offer for Malwarebytes Premium Security for Lock and Code listeners.

This week on the Lock and Code podcast…

There’s an entire surveillance network popping up across the United States that has likely already captured your information, all for the non-suspicion of driving a car.

Automated License Plate Readers, or ALPRs, are AI-powered cameras that scan and store an image of every single vehicle that passes their view. They are mounted onto street lights, installed under bridges, disguised in water barrels, and affixed onto telephone poles, lampposts, parking signs, and even cop cars.

Once installed, these cameras capture a vehicle’s license plate number, along with its make, model, and color, and any identifying features, like a bumper sticker, or damage, or even sport trim options. Because nearly every ALPR camera has an associated location, these devices can reveal where a car was headed, and at what time, and by linking data from multiple ALPRs, it’s easy to determine a car’s daylong route and, by proxy, it’s owner’s daily routine.

This deeply sensitive information has been exposed in recent history.

In 2024, the US Cybersecurity and Information Security Agency discovered seven vulnerabilities in cameras made by Motorola Solutions, and at the start of 2025, the outlet Wired reported that more than 150 ALPR cameras were leaking their live streams.

But there’s another concern with ALPRs besides data security and potential vulnerability exploits, and that’s with what they store and how they’re accessed.

ALPRs are almost uniformly purchased and used by law enforcement. These devices have been used to help solve crime, but their databases can be accessed by police who do not live in your city, or county, or even state, and who do not need a warrant before making a search.

In fact, when police access the databases managed by one major ALPR manufacturer, named Flock, one of the few guardrails those police encounter is needing to type a single word in a basic text box. When Electronic Frontier Foundation analyzed 12 million searches made by police in Flock’s systems, they learned that police sometimes filled that text box with the word “protest,” meaning that police were potentially investigating activity that is protected by the First Amendment.

Today, on the Lock and Code podcast with host David Ruiz, we speak with Will Freeman, founder of the ALRP-tracking project DeFlock Me, about this growing tide of neighborhood surveillance and the flimsy protections afforded to everyday people.

“License plate readers are a hundred percent used to circumvent the Fourth Amendment because [police] don’t have to see a judge. They don’t have to find probable cause. According to the policies of most police departments, they don’t even have to have reasonable suspicion.”

Tune in today to listen to the full conversation.

Show notes and credits:

Intro Music: “Spellbound” by Kevin MacLeod (incompetech.com)
Licensed under Creative Commons: By Attribution 4.0 License
http://creativecommons.org/licenses/by/4.0/
Outro Music: “Good God” by Wowa (unminus.com)

Listen up—Malwarebytes doesn’t just talk cybersecurity, we provide it.

Protect yourself from online attacks that threaten your identity, your files, your system, and your financial well-being with our exclusive offer for Malwarebytes Premium Security for Lock and Code listeners.

(written jointly with Tim Peacock)

Five years. It’s enough time to fully launch a cloud migration, deploy a new SIEM, or — if you’re a very large enterprise — just start thinking about doing the first two. It’s also how long Tim and I have been subjecting the world to our thoughts on Cloud Security Podcast by Google.

We finally got around to writing the annual “reflections blog.” And, honestly, looking back at Season 5, the state of the industry feels a lot like a chaotic Cybersecurity Garage Sale.

We’re all standing knee-deep in a pile of dusty, obsolete junk — the mid-2000s SIEMs, the 1990s unauthenticated vulnerability scans — while clutching shiny, still-in-the-box AI Agent gadgets we don’t quite know where to put. It’s a mess. But within this mess, a few essential, high-value items have emerged.

So, to all our listeners — the veterans and the newcomers — thank you for sorting through the chaos with us. For Season 6, we’re going all video, by default (opening January 5, 2026). Find us on our new YouTube home: Cloud Security Podcast by Google on YouTube.

Below you will find 3 fun sections: Anton’s faves, Tim’s faves and top 10 by listens (“data’s faves” of sorts, or perhaps listener faves)

Enjoy!

Anton: My selections are, perhaps, a bit predictable — but they were immense fun to record and, I believe, are absolutely essential listening! But, hey, I am biased a bit!

1. EP236 Accelerated SIEM Journey: A SOC Leader’s Playbook for Modernization and AI This fun episode provides a playbook for SOC leaders on accelerating their SIEM modernization journey. We go into the steps the bank took for moving beyond legacy systems, focusing on how to integrate AI for transformative results and build a truly modern Security Operations Center.
2. EP254 Escaping 1990s Vulnerability Management: From Unauthenticated Scans to AI-Driven Mitigation This essential episode with Caleb Hoch tackles the “fractions of a century” time lag in vulnerability management, moving beyond endless unauthenticated scans. We discuss how to establish a Gold Standard prioritization model and why running VM Tabletop Exercises is the vital, transformative practice needed for true modernization.
3. EP223 AI Addressable, Not AI Solvable: Reflections from RSA 2025 The single most important lesson from RSA 2025 was captured in this episode: AI is merely “Addressable, Not Solvable.” We cut through the hype to discuss where AI can deliver real, practical security value, and where we still need our smart human colleagues to lead the way. This is essential listening for anyone trying to navigate the flood of vendor claims.
4. EP242 The AI SOC: Is This The Automation We’ve Been Waiting For? This epic episode tackles the most pressing question for security operations: Can “AI SOC” deliver the transformative automation we’ve been waiting for? We discuss — with Anton’s former colleague — the real-world applications of AI in the SOC, focusing on practical gains (and how to know you “gained” anything) and what it means for the future role of the human analyst.
5. EP238 Google Lessons for Using AI Agents for Securing Our Enterprise This fun episode brings you practical lessons from Google’s own experience using AI agents to secure our enterprise at scale (see this blog also). We dive (not “delve”, mind you!) deep into the real-world application of this technology, focusing on the wins, the challenges, and what it took to adopt. This is essential listening for any leader looking to leverage AI agents effectively without falling into the hype cesspool.
6. BONUS: EP237 Making Security Personal at the Speed and Scale of TikTok This unique episode goes into what it takes to secure a hyper-scale, global platform like TikTok. We discuss how to move beyond legacy compliance while living in a modern microservices architecture, balance a consistent global security posture with localized regulatory demands, and, most importantly, empower every user with practical tips (like 2FA and strong passphrases) to make security personal.

Tim: My picks are almost entirely not overlapping with Anton, we started our lists separately, but then realized that we scooped each other on two episodes. We both liked our episode with Manija Poulatova enough to keep her on both of our lists!

1. EP256 Rewiring Democracy & Hacking Trust: Bruce Schneier on the AI Offense-Defense Balance This episode is a total delight for both of us. For me, I got to not only meet one of my security heroes, I got to see Anton do the same! We named Bruce in our early planning docs as somebody we’d like to have on the show someday when we’re all grown up. Not a bad way to wrap up five years of weekly podcasting!
2. EP236 Accelerated SIEM Journey: A SOC Leader’s Playbook for Modernization and AI Manija and I were on a panel together in Las Vegas during Google Cloud Next 2025. A few themes from that panel came through in our episode together that I love and think are vital for anyone. First, aim for transformation not migration. As an industry we are not doing so well compared to air transport safety. We cannot cling to our old ways and hope for a better set of outcomes. Second, AI is here to enable our human colleagues, not replace them. We can find greater meaning, joy, and productivity in our work, even as SOC analysts, once we embrace what AI can automate for us.
3. EP239 Linux Security: The Detection and Response Disconnect and Where Is My Agentless EDR Craig was introduced to me by Friend Of The Show (and friend of mine!) Vijay Ganti (EP196) as someone building an innovative approach to EDR security. Scheduling this episode ended up a little tricky, and I got to do an episode without Anton. That ended up ok, because in Craig I found a totally kindred spirit. We’ve both built systems to secure Linux without agents, though from two different approaches. His stories of finding badness in places we couldn’t previously look, and doing so scalably even for phone towers up the hill behind his house, really resonated with the part of me that spent four years building out Virtual Machine Threat Detection here at Google Cloud. This is definitely an episode for listeners who like to question conventional security thinking.
4. EP252 The Agentic SOC Reality: Governing AI Agents, Data Fidelity, and Measuring Success Another fun origin story: this episode was conceived in a karaoke booth in Singapore. Alex and Lars are two of our early design partners for the SecOps Triage Agent and their feedback to the team and on this episode is super valuable. Alex gets bonus points on this episode for using the word squelch which I’ve been pushing internally as a metaphor for our noise control systems. This is a must-listen for anyone interested in real AI adoption in their SOC. If Alex and Lars can do it across an unbelievable number of regulatory jurisdictions, you can too!
5. EP255 Separating Hype from Hazard: The Truth About Autonomous AI Hacking Bringing Heather back to the show has been a goal of ours for ages. When I read her article, coauthored with Gadi Evron and Bruce Schneier, I knew I’d found our topic. As I said on the show, if I’d seen this article written by anybody else I’d laugh, but with this trio of authors I knew it was something to take seriously. Read the article, listen to the episode, let us know in the comments if you’re as scared as I was!
6. BONUS: EP232 The Human Element of Privacy: Protecting High-Risk Targets and Designing Systems I get one bonus episode for our top ten, so I’m going to include my classmate Sarah Aoun. She is an amazing Googler and on this episode she offers advice that’s useful almost universally, but especially if you believe that you’re a person who is at risk of being targeted online. This is firmly outside of our “cloud security” wheelhouse, but well worth a listen to understand threat modeling and security response for individuals.

Top 10 episodes by listens (excluding the oldest 3)

1. EP75 How We Scale Detection and Response at Google: Automation, Metrics, Toil
2. EP47 “Megatrends, Macro-changes, Microservices, Oh My! Changes in 2022 and Beyond in Cloud Security”
3. EP153 Kevin Mandia on Cloud Breaches: New Threat Actors, Old Mistakes, and Lessons for All
4. EP8 Zero Trust: Fast Forward from 2010 to 2021
5. EP109 How Google Does Vulnerability Management: The Not So Secret Secrets!
6. EP150 Taming the AI Beast: Threat Modeling for Modern AI Systems with Gary McGraw
7. EP17 Modern Threat Detection at Google
8. EP103 Security Incident Response and Public Cloud — Exploring with Mandiant
9. EP156 Living Off the Land and Attacking Critical Infrastructure: Mandiant Incident Deep Dive
10. EP12 Threat Models and Cloud Security

Related blogs:

• 250 Episodes of Cloud Security Podcast by Google: From Confidential Computing to AI-Ready SOC

2025 Year in Review at Cloud Security Podcast by Google was originally published in Anton on Security on Medium, where people are continuing the conversation by highlighting and responding to this story.

So this may suck, but I am hoping to at least earn some points for honesty here. I wanted to write something pithy and smart once I realized our Cloud Security Podcast by Google just aired our 250th episode (“EP250 The End of “Collect Everything”? Moving from Centralization to Data Access?”). Yet nothing sufficiently pithy came to my mind …

… so I went around and asked a whole bunch of AIs and agents and such. Then massaged and aggregated the outputs, then ran more AI on the result. And then lightly curated it. Then deleted the bottom 2 stupidest points they made.

So, here it comes … in all its sloppy glory!

1. The Foundational Roots and Unchanging Mission: Our show started with foundational cloud security topics — like Zero Trust, Data Security, and Cloud Migration Security which drew the initial large audiences. The core commitment since Episode 1 has been to question conventional wisdom, avoid “security theater” (EP248) and explore whether security measures truly benefit the user and the organization.
2. The AI Transformation: We had a sizable shift with the last 50 episodes, where AI became a central theme, or at least one of the themes we always come back to (and, yes, this covers our 3 pillars of securing AI, AI for security and countering the AI-armed attacker). The focus has moved past general hype to practical applications, securing AI systems, and asking challenging questions like “Data readiness for AI SOC” (EP249).
3. The Enduring Popularity of Detection & Response (D&R): We highlight that D&R and modernizing the SOC continue to be extremely popular with the audience (EP236 is epic). Trace the evolution of this topic from foundational engineering (like the very popular EP75 on scaling D&R at Google) to the architectural questions in EP250.
4. “How Google Does Security” Sells the Tickets: We love the episodes offering a candid look behind Google’s security curtain on topics like internal red teaming, detection scaling, and Cloud IR tabletops. They consistently remain perennial audience favorites (the latest in this series is EP238 on how we use AI agents for security).
5. The Centrality of People and Process: We emphasize the recurring lessons that the most challenging aspects of large-scale cloud (and now AI) security transformations are often the “people” and “process” elements, not the technical “tech” itself. EP237 is an epic example of this.
6. The Call for Intentionality: We reinforce the importance of having a clear purpose for every security activity and following an engineering-led approach (EP117). The “magical” advice from EP236 is: to ask of every security element, “what is it in service of?”
7. The Persistence of Old Problems: We often lament with a touch of humor on the industry’s tendency to repeat fundamental security mistakes (the SIEM Paradox in EP234 for instance or EP223 in general), underscoring the ongoing need to cover “boring” basics. We will absolutely continue this (a new episode on vulnerability management “stale” problems is coming soon)
8. Community and Format Growth: We continue to “sorta-kinda” (human wrote this, eh?) the development of the podcast beyond a purely audio medium, including the launch of live video sessions and a Community site to foster more dialogue and feedback.
9. The Unique Culture and Authenticity of the Show Stays: We remain obsessed about selecting high-energy, vocal, and knowledgeable guests and fun topics. We will keep on with our “inside jokes” like not allowing guests to recommend Anton’s blog as an episode resource and pokes about firewall appliances in the cloud (they are there).
10. A Glimpse at 300: We want to tease future topics that will define the next 50+ episodes, such as deeper dives into Agentic AI, challenges of cross-cloud incident response and forensics, or the geopolitical aspects of cloud security. Give us ideas, will ya? Otherwise, you will get to hear about AI and D&R much of the time…

Top 5 popular episodes (excluding the oldest 3)

1. EP75 How We Scale Detection and Response at Google: Automation, Metrics, Toil
2. EP153 Kevin Mandia on Cloud Breaches: New Threat Actors, Old Mistakes, and Lessons for All
3. EP47 Megatrends, Macro-changes, Microservices, Oh My! Changes in 2022 and Beyond in Cloud Security
4. EP8 Zero Trust: Fast Forward from 2010 to 2021
5. EP17 Modern Threat Detection at Google

Enjoy the show!

• Subscribe at Spotify
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250 Episodes of Cloud Security Podcast by Google: From Confidential Computing to AI-Ready SOC was originally published in Anton on Security on Medium, where people are continuing the conversation by highlighting and responding to this story.

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