Logo
    Search

    Cybersecurity's Past, Present, and AI-Driven Future

    enJune 26, 2024

    Podcast Summary

    • History of CybersecurityFrom an afterthought to a critical function, cybersecurity has evolved from a non-existent industry to a necessity due to the exponential growth of technology and threats. Milestones include the first CISO, bug bounties, web application firewalls, and the shift to business-wide responsibility.

      The evolution of cybersecurity has gone from a non-existent industry in the mid-1990s to a critical function of IT in the early 2000s, and now, with the exponential growth of technology and threats, it's becoming increasingly necessary for computers to take on more security responsibilities. The history of cybersecurity is closely tied to the history of the internet and culture. In the early days, security was an afterthought, with the first CISO and the first breach occurring in 1995. However, as the internet became more integrated into business and daily life, security became a necessity. Milestones from this period include the first bug bounty, the rise of web application firewalls, and the shift from IT handling security to it being a function of the business as a whole. As we move forward, the cost of launching disinformation campaigns and other cyber attacks continues to decrease, making it essential for businesses and individuals to stay vigilant and adapt to new threats.

    • Web application security evolutionFrom initial overlook to everyone's responsibility, web application security has evolved significantly with the emergence of dedicated teams, regulations, cloud computing, and DevSecOps, leading to various solutions to address risks and reduce vulnerabilities

      The evolution of cybersecurity has seen significant shifts in approach and responsibility over the years. Initially, web application security was overlooked, leading to vulnerabilities that could be exploited. The rise of dedicated security teams and regulations brought about traditional security practices. Later, with the advent of cloud computing and continuous deployment, security became everyone's responsibility in the DevSecOps era. Milestones in this evolution include the first use of terms like cross-site scripting, shift left, and DevSecOps. Major breaches and the exponential growth of cyber attacks led to the emergence of various security solutions, such as email security, web application firewalls, and posture management. Throughout this evolution, the focus has been on addressing security risks and reducing vulnerabilities.

    • Security ShiftSecurity responsibilities are shifting from human teams to automated systems and developers, with systems taking on more security roles and advanced security systems needed to protect against evolving threats.

      The responsibility for security is shifting from human security teams to automated systems and developers. With a growing job shortage in the security field and the unsustainable burden on developers to handle security issues, there is a need for a new phase in security. Systems are now taking on more security roles, such as automatic HTTPS implementation, password managers, and even eradicating vulnerability classes. Google and Netflix are leading the way with these innovations, allowing developers to focus on writing app code without worrying about security complexities. However, the XC utils attack serves as a reminder of the sophisticated threats we face in 2024, which include long-term infiltration, social engineering, and state actors. It is crucial to continue investing in advanced security systems and automated solutions to protect against these evolving threats.

    • Open source project maintenanceCommunication and consideration are crucial for maintainers when managing open source projects and delegating responsibilities to ensure continued development

      Maintaining an open source project can be a challenging and overwhelming task, especially for individuals handling numerous projects on their own. The discussion highlights the experience of a maintainer, Lassie Colin, who was managing multiple projects and was approached by a new contributor, Geotan. At first, Lassie ignored Geotan's trivial patches due to his limited resources and focus on maintaining the project. However, when pressure from another contributor, Jigar Kumar, mounted, Lassie considered handing off the project to Geotan. This situation illustrates the normal process of open source project maintenance, where maintainers may need to delegate responsibilities to ensure the project's continued development. It's essential for maintainers to communicate openly with contributors and consider their capabilities when making decisions about project ownership. Additionally, the discussion underscores the importance of patience and understanding in the open source community, as contributors may face delays in having their patches reviewed and merged.

    • Deepfake ThreatsDeepfakes are increasingly being used for scams and to manipulate stock prices, making it difficult to distinguish what's real online. Companies need to invest in advanced security measures to protect against these evolving threats.

      While the Linux project may have had state involvement in the past, it doesn't necessarily mean the project is compromised or backdoored. However, the discussion also highlighted the increasing threat of sophisticated software supply chain attacks and the emergence of deepfake technology. In 2024, deepfake videos have become easier to produce and are being used to target individuals and businesses across various industries. The impact can range from scams to orchestrating bank runs or impacting stock prices. The ease of creating deepfakes makes it increasingly difficult to distinguish what's real or not online. Another threat is SEO poisoning, where attackers manipulate search engine results to redirect users to malicious sites. The use of AI and generative AI is making these attacks more dynamic and harder to detect. Companies need to adapt and invest in advanced security measures to protect against these evolving threats.

    • Software evolution and securityTraditional role-based access control models may no longer be sufficient for managing the increasing complexity and granularity of cloud infrastructure. A new paradigm is needed to adapt to the shift towards more autonomous software and manage access and permissions effectively.

      The way we create, manage, and interact with software has evolved significantly over the past few decades, moving from digitization and collaboration to autonomy. This shift has major implications for how we approach security, particularly as the number of apps and service accounts continues to grow. Traditional role-based access control models may no longer be sufficient, and a new paradigm is needed to manage the increasing complexity and granularity of cloud infrastructure. Security professionals must adapt to this changing landscape and rethink their approach to managing access and permissions. As we move towards more autonomous software, the role of security may shift once again, requiring a more proactive and agile approach. The metro station model, which focuses on granting permissions for short periods of time, is one potential solution for managing access in this new paradigm. Ultimately, it's important for security professionals to stay informed about the latest trends and technologies in software development and be prepared to adapt to the changing needs of their organizations.

    • Security engineering shiftSecurity teams should shift focus from analysis to engineering, consolidate tools, build compound businesses, and leverage AI and agents to minimize risk and maximize problem-solving capabilities.

      As software becomes more autonomous and complex, security needs to adapt by shifting from an analytical focus to an engineering one. Security teams should aim to become infrastructure teams for each department, consolidating tools and building compound businesses from the start. The use of AI and agents will be crucial in managing the increasing complexity and ensuring that access is granted only when necessary. The goal is to minimize risk while maximizing the ability to solve previously unsolvable problems. The future of security lies in fine-tuning AI and models on top of infrastructure to create effective solutions.

    • Autonomous systems and securityAs technology advances, the role of human analysts decreases, and agents take over tasks. However, to ensure security, agents must be upskilled and able to reason like engineers or prompt engineers. Autonomous systems will increase, and global identity will become more common. Proper access approval processes are crucial to prevent unauthorized access and maintain security.

      As technology advances, the role of human analysts may decrease, and agents will take over more tasks. However, to prevent unauthorized access and ensure security, it's crucial to upskill agents to become more engineers or even prompt engineers. The ability for systems to reason by themselves is becoming more common, and this trend is expected to continue. Additionally, the use of global identity will increase in the coming years. It's important to adapt to these changes and stay ahead of the curve. Another key point is the importance of following proper access approval processes to prevent unauthorized access, which can lead to security vulnerabilities. This can be achieved by implementing systems that can detect and prevent such occurrences. Overall, the ability for systems to reason and make decisions autonomously is a game-changer and will have significant implications for businesses and industries.

    Recent Episodes from a16z Podcast

    Cybersecurity's Past, Present, and AI-Driven Future

    Cybersecurity's Past, Present, and AI-Driven Future

    Is it time to hand over cybersecurity to machines amidst the exponential rise in cyber threats and breaches?

    We trace the evolution of cybersecurity from minimal measures in 1995 to today's overwhelmed DevSecOps. Travis McPeak, CEO and Co-founder of Resourcely, kicks off our discussion by discussing the historical shifts in the industry. Kevin Tian, CEO and Founder of Doppel, highlights the rise of AI-driven threats and deepfake campaigns. Feross Aboukhadijeh, CEO and Founder of Socket, provides insights into sophisticated attacks like the XZ Utils incident. Andrej Safundzic, CEO and Founder of Lumos, discusses the future of autonomous security systems and their impact on startups.

    Recorded at a16z's Campfire Sessions, these top security experts share the real challenges they face and emphasize the need for a new approach. 

    Resources: 

    Find Travis McPeak on Twitter: https://x.com/travismcpeak

    Find Kevin Tian on Twitter: https://twitter.com/kevintian00

    Find Feross Aboukhadijeh on Twitter: https://x.com/feross

    Find Andrej Safundzic on Twitter: https://x.com/andrejsafundzic

     

    Stay Updated: 

    Find a16z on Twitter: https://twitter.com/a16z

    Find a16z on LinkedIn: https://www.linkedin.com/company/a16z

    Subscribe on your favorite podcast app: https://a16z.simplecast.com/

    Follow our host: https://twitter.com/stephsmithio

    Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

     

    The Science and Supply of GLP-1s

    The Science and Supply of GLP-1s

    Brooke Boyarsky Pratt, founder and CEO of knownwell, joins Vineeta Agarwala, general partner at a16z Bio + Health.

    Together, they talk about the value of obesity medicine practitioners, patient-centric medical homes, and how Brooke believes the metabolic health space will evolve over time.

    This is the second episode in Raising Health’s series on the science and supply of GLP-1s. Listen to last week's episode to hear from Carolyn Jasik, Chief Medical Officer at Omada Health, on GLP-1s from a clinical perspective.

     

    Listen to more from Raising Health’s series on GLP-1s:

    The science of satiety: https://raisinghealth.simplecast.com/episodes/the-science-and-supply-of-glp-1s-with-carolyn-jasik

    Payers, providers and pricing: https://raisinghealth.simplecast.com/episodes/the-science-and-supply-of-glp-1s-with-chronis-manolis

     

    Stay Updated: 

    Let us know what you think: https://ratethispodcast.com/a16z

    Find a16z on Twitter: https://twitter.com/a16z

    Find a16z on LinkedIn: https://www.linkedin.com/company/a16z

    Subscribe on your favorite podcast app: https://a16z.simplecast.com/

    Follow our host: https://twitter.com/stephsmithio

    Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

    The State of AI with Marc & Ben

    The State of AI with Marc & Ben

    In this latest episode on the State of AI, Ben and Marc discuss how small AI startups can compete with Big Tech’s massive compute and data scale advantages, reveal why data is overrated as a sellable asset, and unpack all the ways the AI boom compares to the internet boom.

     

    Subscribe to the Ben & Marc podcast: https://link.chtbl.com/benandmarc

     

    Stay Updated: 

    Let us know what you think: https://ratethispodcast.com/a16z

    Find a16z on Twitter: https://twitter.com/a16z

    Find a16z on LinkedIn: https://www.linkedin.com/company/a16z

    Subscribe on your favorite podcast app: https://a16z.simplecast.com/

    Follow our host: https://twitter.com/stephsmithio

    Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

    Predicting Revenue in Usage-based Pricing

    Predicting Revenue in Usage-based Pricing

    Over the past decade, usage-based pricing has soared in popularity. Why? Because it aligns cost with value, letting customers pay only for what they use. But, that flexibility is not without issues - especially when it comes to predicting revenue. Fortunately, with the right process and infrastructure, your usage-based revenue can become more predictable than the traditional seat-based SaaS model. 

    In this episode from the a16z Growth team, Fivetran’s VP of Strategy and Operations Travis Ferber and Alchemy’s Head of Sales Dan Burrill join a16z Growth’s Revenue Operations Partner Mark Regan. Together, they discuss the art of generating reliable usage-based revenue. They share tips for avoiding common pitfalls when implementing this pricing model - including how to nail sales forecasting, adopting the best tools to track usage, and deal with the initial lack of customer data. 

    Resources: 

    Learn more about pricing, packaging, and monetization strategies: a16z.com/pricing-packaging

    Find Dan on Twitter: https://twitter.com/BurrillDaniel

    Find Travis on LinkedIn: https://www.linkedin.com/in/travisferber

    Find Mark on LinkedIn: https://www.linkedin.com/in/mregan178

    Stay Updated: 

    Let us know what you think: https://ratethispodcast.com/a16z

    Find a16z on Twitter: https://twitter.com/a16z

    Find a16z on LinkedIn: https://www.linkedin.com/company/a16z

    Subscribe on your favorite podcast app: https://a16z.simplecast.com/

    Follow our host: https://twitter.com/stephsmithio

    Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

    California's Senate Bill 1047: What You Need to Know

    California's Senate Bill 1047: What You Need to Know

    On May 21, the California Senate passed bill 1047.

    This bill – which sets out to regulate AI at the model level – wasn’t garnering much attention, until it slid through an overwhelming bipartisan vote of 32 to 1 and is now queued for an assembly vote in August that would cement it into law. In this episode, a16z General Partner Anjney Midha and Venture Editor Derrick Harris breakdown everything the tech community needs to know about SB-1047.

    This bill really is the tip of the iceberg, with over 600 new pieces of AI legislation swirling in the United States. So if you care about one of the most important technologies of our generation and America’s ability to continue leading the charge here, we encourage you to read the bill and spread the word.

    Read the bill: https://leginfo.legislature.ca.gov/faces/billTextClient.xhtml?bill_id=202320240SB1047

    a16z Podcast
    enJune 06, 2024

    The GenAI 100: The Apps that Stick

    The GenAI 100: The Apps that Stick

    Consumer AI is moving fast, so who's leading the charge? 

    a16z Consumer Partners Olivia Moore and Bryan Kim discuss our GenAI 100 list and what it takes for an AI model to stand out and dominate the market.

    They discuss how these cutting-edge apps are connecting with their users and debate whether traditional strategies like paid acquisition and network effects are still effective. We're going beyond rankings to explore pivotal benchmarks like D7 retention and introduce metrics that define today's AI market.

    Note: This episode was recorded prior to OpenAI's Spring update. Catch our latest insights in the previous episode to stay ahead!

     

    Resources:

    Link to the Gen AI 100: https://a16z.com/100-gen-ai-apps

    Find Bryan on Twitter: https://twitter.com/kirbyman

    Find Olivia on Twitter: https://x.com/omooretweets

     

    Stay Updated: 

    Find a16z on Twitter: https://twitter.com/a16z

    Find a16z on LinkedIn: https://www.linkedin.com/company/a16z

    Subscribe on your favorite podcast app: https://a16z.simplecast.com/

    Follow our host: https://twitter.com/stephsmithio

    Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

    Finding a Single Source of AI Truth With Marty Chavez From Sixth Street

    Finding a Single Source of AI Truth With Marty Chavez From Sixth Street

    a16z General Partner David Haber talks with Marty Chavez, vice chairman and partner at Sixth Street Partners, about the foundational role he’s had in merging technology and finance throughout his career, and the magical promises and regulatory pitfalls of AI.

    This episode is taken from “In the Vault”, a new audio podcast series by the a16z Fintech team. Each episode features the most influential figures in financial services to explore key trends impacting the industry and the pressing innovations that will shape our future. 

     

    Resources: 
    Listen to more of In the Vault: https://a16z.com/podcasts/a16z-live

    Find Marty on X: https://twitter.com/rmartinchavez

    Find David on X: https://twitter.com/dhaber

     

    Stay Updated: 

    Find a16z on Twitter: https://twitter.com/a16z

    Find a16z on LinkedIn: https://www.linkedin.com/company/a16z

    Subscribe on your favorite podcast app: https://a16z.simplecast.com/

    Follow our host: https://twitter.com/stephsmithio

    Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

    A Big Week in AI: GPT-4o & Gemini Find Their Voice

    A Big Week in AI: GPT-4o & Gemini Find Their Voice

    This was a big week in the world of AI, with both OpenAI and Google dropping significant updates. So big that we decided to break things down in a new format with our Consumer partners Bryan Kim and Justine Moore. We discuss the multi-modal companions that have found their voice, but also why not all audio is the same, and why several nuances like speed and personality really matter.

     

    Resources:

    OpenAI’s Spring announcement: https://openai.com/index/hello-gpt-4o/

    Google I/O announcements: https://blog.google/technology/ai/google-io-2024-100-announcements/

     

    Stay Updated: 

    Let us know what you think: https://ratethispodcast.com/a16z

    Find a16z on Twitter: https://twitter.com/a16z

    Find a16z on LinkedIn: https://www.linkedin.com/company/a16z

    Subscribe on your favorite podcast app: https://a16z.simplecast.com/

    Follow our host: https://twitter.com/stephsmithio

    Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

     

     

    Remaking the UI for AI

    Remaking the UI for AI

    Make sure to check out our new AI + a16z feed: https://link.chtbl.com/aiplusa16z
     

    a16z General Partner Anjney Midha joins the podcast to discuss what's happening with hardware for artificial intelligence. Nvidia might have cornered the market on training workloads for now, but he believes there's a big opportunity at the inference layer — especially for wearable or similar devices that can become a natural part of our everyday interactions. 

    Here's one small passage that speaks to his larger thesis on where we're heading:

    "I think why we're seeing so many developers flock to Ollama is because there is a lot of demand from consumers to interact with language models in private ways. And that means that they're going to have to figure out how to get the models to run locally without ever leaving without ever the user's context, and data leaving the user's device. And that's going to result, I think, in a renaissance of new kinds of chips that are capable of handling massive workloads of inference on device.

    "We are yet to see those unlocked, but the good news is that open source models are phenomenal at unlocking efficiency.  The open source language model ecosystem is just so ravenous."

    More from Anjney:

    The Quest for AGI: Q*, Self-Play, and Synthetic Data

    Making the Most of Open Source AI

    Safety in Numbers: Keeping AI Open

    Investing in Luma AI

    Follow everyone on X:

    Anjney Midha

    Derrick Harris

    Check out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts.

     

    Stay Updated: 

    Find a16z on Twitter: https://twitter.com/a16z

    Find a16z on LinkedIn: https://www.linkedin.com/company/a16z

    Subscribe on your favorite podcast app: https://a16z.simplecast.com/

    Follow our host: https://twitter.com/stephsmithio

    Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

    a16z Podcast
    enMay 16, 2024

    How Discord Became a Developer Platform

    How Discord Became a Developer Platform

    In 2009 Discord cofounder and CEO, Jason Citron, started building tools and infrastructure for games. Fast forward to today and the platform has over 200 million monthly active users. 

    In this episode, Jason, alongside a16z General Partner Anjney Midha—who merged his company Ubiquiti 6 with Discord in 2021—shares insights on the nuances of community-driven product development, the shift from gamer to developer, and Discord’s longstanding commitment to platform extensibility. 

    Now, with Discord's recent release of embeddable apps, what can we expect now that it's easier than ever for developers to build? 

    Resources: 

    Find Jason on Twitter: https://twitter.com/jasoncitron

    Find Anjney on Twitter: https://twitter.com/AnjneyMidha

     

    Stay Updated: 

    Find a16z on Twitter: https://twitter.com/a16z

    Find a16z on LinkedIn: https://www.linkedin.com/company/a16z

    Subscribe on your favorite podcast app: https://a16z.simplecast.com/

    Follow our host: https://twitter.com/stephsmithio

    Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.