Supercharge Workflows, Secure Data: Build Better Apps with AI

Cyber Sentries: AI Insight to Cloud Security

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حدود یک سال پیش 23:15

MP3•خانه قسمت

Exploring the AI-Powered Future of Cloud Security with Thomas Johnson
On this episode of Cyber Sentries, host John Richards interviews Thomas Johnson, CTO and co-founder of Multiplayer, about how AI is transforming cloud security. As AI capabilities rapidly advance, Thomas provides insights into how engineering teams can leverage AI to enhance workflows, generate code, and convert basic sketches into functional systems.

John and Thomas dive into key questions surrounding AI ethics, choosing open source vs proprietary models, and best practices for handling sensitive data. Listen in to hear Thomas' advice for developers looking to integrate AI into their tech stacks.

Questions we answer in this episode:

How are dev teams currently using AI like Copilot?
What are the main differences between neural networks and other AI?
What security risks exist with generative AI models?

Key Takeaways

Focus on choosing the right problem and having clean, quality data.
Open source models offer more control compared to proprietary models.
Do not put sensitive data into generative models.

This fascinating discussion explores how AI is transforming cloud security and development workflows. Thomas provides practical insights into leveraging AI's immense potential while avoiding pitfalls. Whether you're an engineering leader or a developer new to AI, this episode offers an enlightening look at the AI-powered future of tech.
Links & Notes

(00:00) - Welcome to Cyber Sentries
(00:22) - Meet Thomas Johnson
(01:02) - AI Background
(01:58) - Neural Networks
(02:47) - Current Buzz
(04:43) - Integrating AI
(07:41) - Improving AI
(10:57) - Think About the Problem and Data
(12:25) - If Data Is the Problem
(14:00) - Securities and Access
(15:50) - RAG Model
(17:52) - Open Source v. Proprietary
(19:20) - Training and Inference Side
(20:35) - Multiplayer
(21:43) - Wrap Up

17 قسمت

#Tech #News #Tech News #TruStory FM #Cloud Security

Supercharge Workflows, Secure Data: Build Better Apps with AI

Cyber Sentries: AI Insight to Cloud Security

published حدود یک سال پیش

اشتراک گذاری

MP3•خانه قسمت

Questions we answer in this episode:

How are dev teams currently using AI like Copilot?
What are the main differences between neural networks and other AI?
What security risks exist with generative AI models?

Key Takeaways

Focus on choosing the right problem and having clean, quality data.
Open source models offer more control compared to proprietary models.
Do not put sensitive data into generative models.

(00:00) - Welcome to Cyber Sentries
(00:22) - Meet Thomas Johnson
(01:02) - AI Background
(01:58) - Neural Networks
(02:47) - Current Buzz
(04:43) - Integrating AI
(07:41) - Improving AI
(10:57) - Think About the Problem and Data
(12:25) - If Data Is the Problem
(14:00) - Securities and Access
(15:50) - RAG Model
(17:52) - Open Source v. Proprietary
(19:20) - Training and Inference Side
(20:35) - Multiplayer
(21:43) - Wrap Up

17 قسمت

#Tech #News #Tech News #TruStory FM #Cloud Security

همه قسمت ها

1
AI's Data Fabric Revolution: Transforming Exposure Management with Daniel Deeney 33:34

۴ روز پیش33:34

33:34

Transforming Cloud Security Through AI and Data Fabric Daniel Deeney, CEO and co-founder of Paladin Cloud, joins John Richards to explore how artificial intelligence is revolutionizing cloud security. With extensive experience as an enterprise software CEO and venture capitalist, Deeney brings unique insights from his successful track record of building and scaling cybersecurity companies. After his previous company's acquisition by VMware in 2019, he launched Paladin Cloud to address the growing challenges of managing security across multiple cloud environments. The episode delves deep into the concept of data fabric and its crucial role in modern cybersecurity. Richards and Deeney discuss how organizations struggle with tool proliferation and data overload in cloud security. They explore how Paladin Cloud's innovative approach uses data fabric to unify risk assessment across various security tools while leveraging generative AI for enhanced threat intelligence. The conversation highlights practical solutions for teams dealing with overwhelming security alerts and the challenge of prioritizing threats effectively. Questions we answer in this episode: How can organizations handle the overwhelming amount of security data from multiple tools? What role does generative AI play in modern cloud security? How can teams better prioritize security risks across different environments? Key Takeaways: Data fabric technology enables unified risk assessment across multiple security tools AI-powered risk scoring helps teams prioritize threats more effectively Security teams need both technological solutions and services support to manage modern threats This episode offers invaluable insights for security professionals, DevOps teams, and technology leaders grappling with cloud security challenges. Whether you're dealing with alert fatigue, struggling to prioritize security risks, or looking to understand how AI can enhance your security operations, this discussion provides practical guidance and strategic perspectives on navigating the complex landscape of modern cloud security. Links & Notes Learn more about Paladin Cloud Got a question? Ask us here ! (00:00) - Welcome to Cyber Sentries (01:05) - Meet Daniel Deeney (01:25) - Starting Paladin Cloud (02:53) - The Approach (04:54) - Data Fabric Layer (09:39) - Addressing Pain Points (15:54) - Bringing Data Together and Normalizing (18:52) - Users (20:37) - Other Models (26:02) - Prioritization (29:19) - Customer Service (31:16) - Wrap Up…

1
On-Prem AI Uprising: Navigating the Future of Cloud Security 32:49

۹ weeks پیش32:49

32:49

Diving into the Rise of On-Prem AI and Cloud Security In this episode of Cyber Sentries, host John Richards is joined by Doron Caspin, a Senior Manager of Product Management at Red Hat, and Christopher Nuland, a Technical Marketing Manager at Red Hat. They explore the growing trend of on-premise open source models for running AI and the unique benefits and challenges that come with it. The conversation also touches on how DeepSeek has challenged the big players and validated the value of smaller agentic models. John, Doron, and Christopher dive into the shifting landscape of AI and cloud security. They discuss the trends Red Hat is seeing in the industry, such as the move towards smaller, domain-specific language models and the importance of securing AI workloads in hybrid cloud environments. The guests share insights on the key considerations organizations face when deciding to run AI models on-premises, including compliance requirements and the need to treat AI models with the same level of security as databases. Questions we answer in this episode: What are the benefits and challenges of running AI on-premises? How can organizations secure their AI workloads in hybrid cloud environments? What impact has DeepSeek had on the AI industry? Key Takeaways: On-prem AI offers unique advantages for industries with strict compliance requirements Treating AI models like databases is crucial for ensuring robust security The future of AI is likely to be open source, with smaller, domain-specific models gaining traction This episode is a must-listen for anyone interested in the intersection of AI and cloud security. John, Doron, and Christopher provide valuable insights and practical advice for organizations navigating this rapidly evolving landscape. Whether you're a security professional, data engineer, or business leader, you'll come away with a deeper understanding of the trends shaping the future of AI and the steps you can take to secure your AI workloads. Links & Notes Try Red Hat Advanced Cluster Security Cloud Service Red Hat Advanced Cluster Security for Kubernetes Training an AI to Conquer Double Dragon: Reinforcement Learning Demo Learn more about Paladin Cloud Got a question? Ask us here ! (00:00) - Welcome to Cyber Sentries (00:31) - Red Hat (01:04) - Meet Christopher and Doron (05:26) - Past to Present (07:54) - Trends in the Approach (12:24) - The Security Side (16:15) - Key Considerations (19:26) - Training and Models (22:33) - Iterations and Shifts (25:36) - Importance of Security Foundations (28:35) - Security in Agent Space (30:00) - Wrap Up…

1
Play, Grow, Land: The Strategic Path to Enterprise AI with Jim Wilt 42:15

14 weeks پیش42:15

42:15

Navigating AI Adoption: From Exploration to Implementation In this illuminating episode of Cyber Sentries, John Richards sits down with Jim Wilt, distinguished chief architect at Weave and veteran security practitioner. With decades of experience in emerging technologies since the mainframe era, Jim brings unique insights into how organizations can successfully integrate AI while maintaining robust security practices. The conversation delves deep into a three-phase approach for AI adoption: learning, growing, and landing. Jim emphasizes the importance of experimentation before commitment, challenging the common rush to define use cases before understanding the technology's capabilities. He shares practical examples of how organizations can progress from internal testing to external deployment, while maintaining security at each stage. The discussion explores how AI isn't about replacement but enhancement - whether for individual roles or organizational processes - and why adaptability in implementation is crucial for success. Questions we answer in this episode: How should organizations approach their initial AI adoption? What's the optimal timeline for moving from experimentation to implementation? When and how should security measures be integrated into AI initiatives? Key Takeaways: "Replaceable architecture" is becoming more critical than "reusable architecture" in the AI era Organizations need 9-18 months of internal testing before external AI deployment Security measures should scale up gradually, from minimal during learning to comprehensive in production This episode provides invaluable guidance for any organization navigating AI adoption. Jim's practical, experience-based insights cut through the hype, offering a clear roadmap for sustainable AI integration while maintaining security integrity. Whether you're just starting your AI journey or looking to refine your existing approach, this discussion offers actionable strategies for success. Links & Notes ‘What Air Canada Lost In ‘Remarkable’ Lying AI Chatbot Case’ CIO.com : From risk to reward: Mastering the art of adopting emerging technologies Generative AI (GenAI) – A Primer GenAI and the Human Experience Replaceable is the New Reusable Applied AI Connect with Jim on LinkedIn Learn more about Paladin Cloud Got a question? Ask us here ! (00:04) - Welcome to Cyber Sentries (00:55) - Meet Jim Wilt (01:46) - Jim’s Background (03:59) - Where to Start (13:28) - Public vs. Private Models (17:52) - Time in Growth Period (18:48) - Use Cases (21:57) - Transitioning to External Use (29:06) - Scaling from Personal to Organizational (31:52) - Safeguarding (37:21) - Flexibility (38:34) - Wrap Up…

1
AI's Identity Revolution: Securing Disconnected Apps and Eliminating Human Error with Bel Lepe 25:52

18 weeks پیش25:52

25:52

Bel Lepe Reveals How AI Reduces Security Risks By Removing the Human Element In this episode of Cyber Sentries, host John Richards is joined by Bel Lepe, Co-founder and CEO of Cerby, to explore how removing the human factor through automation can dramatically decrease an organization's attack surface. John and Bel dive into the transformative potential of AI in identity and access management, especially for applications that don't support modern security protocols. Bel shares his insights on the current state of identity security and how Cerby is tackling the challenge of securing disconnected apps at scale. He explains how generative AI enables Cerby to build and maintain integrations for thousands of apps without relying on standards. The discussion also touches on emerging trends in identity, including the fragmentation of identity across multiple platforms and the growing threat of AI-powered impersonation attacks. Questions we answer in this episode: How can AI reduce security risks by removing the human element? What are the key challenges in securing apps that don't support modern identity protocols? How will the rise of AI shape the future of identity security? Key Takeaways: The majority of security incidents are caused by human error AI allows custom integrations to be built at scale without relying on standards Multi-factor authentication is crucial for protecting against emerging threats Whether you're a security professional looking to stay ahead of the curve or a business leader seeking to understand the impact of AI on your organization's security posture, this episode is packed with valuable insights. Tune in to learn how AI is revolutionizing identity and access management and what you can do to safeguard your organization in the face of evolving threats. Links & Notes Learn more about Cerby Learn more about Paladin Cloud Got a question? Ask us here ! (00:00) - Welcome to Cyber Sentries (01:03) - Meet Bel Lepe (02:42) - Validating the Problem (04:07) - The Problem (06:32) - Their Approach (08:24) - Scaling (10:38) - Looking to the Future (15:32) - The Future of Identity (22:25) - Building Better Awareness (23:46) - Wrap Up…

1
The Adaptive CISO: Digital Defense Evolution with Timothy Youngblood 36:10

22 weeks پیش36:10

36:10

Securing the Digital Future with Former Fortune 500 CISO Tim Youngblood John Richards welcomes Timothy Youngblood, a four-time Fortune 500 CISO and current CISO in Residence at Astrix Security, to discuss the evolving landscape of cybersecurity leadership. With experience at Dell, Kimberly Clark, McDonald's, and T-Mobile, Tim brings unique insights into how security leadership must adapt to emerging threats while maintaining operational effectiveness. The conversation explores Tim's journey from Dell's first CISO to handling security across diverse industries. John and Tim delve into fascinating security incidents, including a notable McFlurry API DDoS attack at McDonald's, demonstrating how modern security challenges can emerge from unexpected places. The discussion shifts to the critical topic of non-human identity attacks and the growing importance of managing machine identities in cloud environments. Tim shares his perspective on how AI is reshaping security practices and why education remains fundamental to effective security programs. Questions we answer in this episode: How do companies integrate security during acquisitions and mergers? What unique challenges do global companies face in cybersecurity? How should organizations approach non-human identity security? Key Takeaways: Security leadership requires strong business acumen alongside technical expertise Education and culture-building are crucial for successful security programs The scale of non-human identities poses a major security blind spot for many organizations This episode offers invaluable insights for security professionals navigating complex organizational challenges while adapting to emerging threats. Whether you're a seasoned CISO or aspiring security leader, Tim's practical experiences and strategic approaches provide actionable wisdom for building robust security programs in any environment. Links & Notes Securing Non-human Identities Find Tim on LinkedIn Learn more about Paladin Cloud Got a question? Ask us here ! (00:04) - Welcome to Cyber Sentries (01:12) - Meet Tim Youngblood (08:07) - Challenges (11:03) - Change Management (11:37) - Transitioning to Next Role (16:21) - McDonald’s (19:57) - Flexibility (21:50) - Handling New Challenges (26:11) - Non-Human Identity Attacks (33:55) - Wrap Up…

1
Open Source AI Unleashed: Transparency, Sovereignty, and Data Control with JJ Asghar 46:21

27 weeks پیش46:21

46:21

Open Source AI: Transparency, Sovereignty, and Who Controls the Data In this episode of Cyber Sentries, host John Richards is joined by JJ Asghar, an Open Source Champion and Developer Advocate at IBM. They explore the importance of open source in the AI world, how transparency can allow for AI sovereignty, and why we should care about who controls the data. JJ shares his journey into the AI space at IBM and his strong opinions formed from working on open source AI projects. The discussion delves into the differences between mainstream closed-source AI models and the emerging open-source alternatives, highlighting the privacy and trust aspects that are becoming increasingly important, especially outside the United States. Questions we answer in this episode: How does open source fit into the recent surge of AI? What are the benefits of open-source AI models compared to closed-source ones? Why is AI sovereignty important, and how does it relate to open source? The conversation covers the challenges of building and running AI models, the compute resources required, and how open-source approaches can provide more transparency and control. JJ explains the concept of AI sovereignty, where countries and organizations want to run AI within their borders and under their own rules and restrictions. This brings up issues of hardware accessibility and the lifecycle of AI models. Key Takeaways: Open-source AI allows for greater transparency and trust compared to closed-source models AI sovereignty is becoming increasingly important for countries with strict privacy laws The lifecycle of AI involves training, fine-tuning, and inferencing, each with different compute requirements While open source offers many benefits, the discussion also touches on the challenges, such as the potential for model poisoning and the current lack of genealogy in AI models. Despite these hurdles, open source remains a powerful force in the AI world, with the potential to provide more eyes on the code and faster problem resolution. This episode offers valuable insights into the complex world of AI, the role of open source, and the importance of data control and transparency. Whether you're a developer, a security professional, or simply interested in the future of AI, this conversation provides a thought-provoking look at the challenges and opportunities ahead. Links & Notes IBM's open source foundational model Granite Granite Foundation Models Paper Hugging Face IBM's coding assistance project InstructLab Crew AI AI Sovereignty Paper Learn more about Paladin Cloud Got a question? Ask us here ! (00:04) - Welcome to Cyber Sentries (00:55) - Meet JJ Asghar (03:17) - Working with AI (04:29) - AI and Open Source (10:31) - Approach (14:38) - Sovereignty (18:20) - Inferencing (20:47) - Black Box Situation (30:10) - Weighing the Differences (35:09) - Timeline (40:39) - Finding JJ (42:06) - Communities (44:49) - Wrap Up…

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Demystifying Zero Trust: Key Policy Checks for Cloud Native Security with Zack Butcher 32:32

31 weeks پیش32:32

32:32

Decoding Zero Trust Security for Cloud Native Environments In this episode of Cyber Sentries, John Richards welcomes Zack Butcher, Founding Engineer at Tetrate, to explore the critical components of zero trust security for cloud native and microservice environments. Zack, with deep expertise from his time at Google and work with NIST, shares practical insights on achieving a zero trust posture. John and Zack dive into the fundamental mindset shift required for zero trust - moving from implicit to explicit trust. They break down the five key policy checks that define runtime zero trust, and how these controls can enable identity-based segmentation. Zack illuminates how this approach allows organizations to boost assurance while strategically relaxing painful network-level constraints. Questions we answer in this episode: • What does Zero Trust really mean in practice? • How can organizations adopt a Zero Trust mindset? • What role does a service mesh play in Zero Trust? Key Takeaways: • Zero Trust requires making all trust explicit • 5 key runtime policy checks define a Zero Trust posture • Identity-based policies boost assurance and agility Whether you're wrestling with Zero Trust definitions, microservice security, or cloud native challenges, this episode delivers a wealth of battle-tested wisdom. Zack's clear explanations and examples, combined with John's knack for extracting practical takeaways, make this a must-listen for anyone navigating the complex world of cloud native security. Links & Notes Zack on LinkedIn Security Strategies for Microservices-based Application Systems (Sidebar has the A-D publications) A Zero Trust Architecture Model for Access Control in Cloud-Native Applications in Multi-Cloud Environments Tetrate Academy Learn more about Paladin Cloud Got a question? Ask us here ! (00:04) - Welcome to Cyber Sentries (01:01) - Meet Zack (04:55) - Reflecting on the Journey (05:46) - Deep on Security Aspect (09:52) - Zero Trust and Definitions (15:35) - Consensus (18:09) - Availability and Assurance (22:28) - Driving Growth (25:44) - How AI Can Be Used for Security (30:07) - Links and Finding Zack (30:36) - Wrap Up…

1
Decoding Machine Language: The Next Phase of the AI Cloud Security Revolution with Murali Balcha 27:00

35 weeks پیش27:00

27:00

Decoding the Language of Machines: AI's Potential to Revolutionize Cloud Security In this episode of Cyber Sentries, host John Richards is joined by Murali Balcha, founder and CTO at Trilio, to explore how AI could transform cloud security by understanding the unique language of machines. Balcha brings over 20 years of experience in IT, particularly in storage systems, to the conversation. Harnessing AI for Proactive Security John and Murali dive into the potential of AI to enhance cloud security by analyzing the vast amounts of data generated by IT systems. By treating system logs as a language that AI can learn, models could be trained to identify threats and anomalies in real-time, even detecting zero-day attacks that traditional rule-based systems might miss. This shift towards proactive, AI-driven security could significantly reduce the time between a threat emerging and its detection. Questions we answer in this episode: How can AI be applied to cloud security? What advantages does AI offer over traditional rule-based security systems? How can AI models be trained to understand the unique language of machines? Key Takeaways: AI has the potential to revolutionize cloud security by learning the language of machines AI models can identify threats and anomalies in real-time, even detecting zero-day attacks Shifting towards proactive, AI-driven security could significantly enhance threat detection and response times This episode offers valuable insights into the cutting-edge applications of AI in cloud security. Listeners will gain a deeper understanding of how machine learning can be harnessed to protect their systems and data, as well as a glimpse into the future of proactive, intelligent security solutions. Links & Notes Check out Murali’s blog Find Murali on LinkedIn Learn more about Paladin Cloud Got a question? Ask us here ! (00:00) - Welcome to Cyber Sentries (00:56) - Meet Murali Balcha (03:29) - AI’s Evolution (06:06) - Transferring Data (14:43) - How Trillio’s Looking at AI (23:36) - Wrap Up…

1
Navigating the AI Revolution in AppSec: Ori Bendet's Insights on the Future of Application Security 31:50

40 weeks پیش31:50

31:50

Ori Bendet Shares Insights on AppSec and Managing AI Risks In this episode of Cyber Sentries, John Richards is joined by Ori Bendet, VP of Product Management at Checkmarx, a leader in application security. They explore the critical role of application security in today's digital landscape and discuss strategies for managing the risks and opportunities presented by the rapid adoption of AI in software development. Ori shares his journey into the cybersecurity industry and offers advice for those transitioning into the field. He emphasizes the importance of focusing on areas that are business-critical, such as application security, as more companies become software-driven. Ori also discusses the shift in application security from finding every vulnerability to prioritizing the most critical risks, given the accelerated pace of development and deployment. Questions we answer in this episode: • How can organizations effectively prioritize application security risks? • What are the key challenges and opportunities presented by AI in software development? • How should security teams adapt their practices to manage AI-generated code? The conversation delves into the disruptive impact of AI on software development and the new types of risks it introduces, such as AI hallucination, data poisoning, and prompt injection. Ori stresses the importance of a layered approach to securing AI-generated code and the need for organizations to assess their specific use cases and risks before defining policies and tools. Key Takeaways: • Application security is critical as companies become increasingly software-driven. • Focus on prioritizing the most critical risks rather than trying to find every vulnerability. • Adopt a layered approach to securing AI-generated code and keep the human in the loop. This episode offers valuable insights for anyone looking to understand the evolving landscape of application security and the impact of AI on software development. Ori's expertise and practical advice make this a must-listen for security professionals, developers, and business leaders alike. Links & Notes Check out Checkmarx The Stanford Research on Secure Code Generated by GenAI Solutions Learn more about Paladin Cloud Got a question? Ask us here ! (00:00) - Welcome to Cyber Sentries (00:56) - Meet Ori Bendet (02:31) - Advice When Thrust Into Cyber Security (04:34) - Application Security (07:37) - Opportunities for Growth (09:58) - Shift to Business Risk (12:28) - Making Assessment (16:08) - Core Cybersecurity Principals (20:31) - Restrictions Needed? (23:17) - Using AI in Checkmarx (27:57) - Give Them What Matters Most (29:40) - Wrap Up…

1
Kubernetes, AI, and Edge: A Trifecta for Transforming Modern Applications with Saad Malik 27:42

44 weeks پیش27:42

27:42

Kubernetes, AI, and Edge Computing: A Powerful Combination In this episode of Cyber Sentries, John Richards is joined by Saad Malik, CTO and co-founder of SpectroCloud, to explore the intersection of Kubernetes, AI, and edge computing. Saad shares his insights on how these technologies are transforming various industries and the challenges organizations face when implementing them at scale. Unlocking the Potential of Kubernetes and AI Throughout the episode, John and Saad discuss the growing adoption of Kubernetes and AI across different environments, from public and private clouds to data centers and edge locations. Saad explains how SpectroCloud's platform simplifies the management of Kubernetes clusters, enabling organizations to leverage the unique capabilities of each environment while maintaining consistency and security. Questions we answer in this episode: How can organizations manage Kubernetes across diverse environments? What are the primary use cases for edge computing? How can developers scale up their Kubernetes deployments faster? Key Takeaways: Templating Kubernetes configurations and integrations simplifies management at scale. Edge computing enables data pre-processing, unique experiences, and robotics applications. AI operations (AIOps) can provide actionable insights and automate Kubernetes management. The conversation also touches on the cultural shift required to embrace AI-driven automation in Kubernetes management. Saad suggests that organizations will gradually adopt these technologies as they gain confidence in the recommendations and actions taken by AI systems. This episode offers valuable insights for anyone interested in the future of Kubernetes, AI, and edge computing. Whether you're a developer, platform engineer, or IT decision-maker, you'll come away with a better understanding of how these technologies can be leveraged to drive innovation and efficiency in your organization. Links & Notes Learn more about SpectroCloud Learn more about Paladin Cloud Got a question? Ask us here ! (00:04) - Welcome to Cyber Sentries (00:57) - Saad Malik and Spectral Cloud (02:33) - Environments (04:29) - Spread (06:06) - Edge Adoption (08:47) - AI Adoption (12:06) - Scaling Up Faster (15:36) - Security (18:20) - Integrating AI (23:44) - Ownership Models (25:32) - Wrap Up…

1
AI Revolution in DevSecOps: Insights from John Bush 33:55

49 weeks پیش33:55

33:55

Unlocking the Power of AI in DevSecOps In this episode of Cyber Sentries, host John Richards sits down with John Bush, solutions architect at GitLab, to explore how artificial intelligence is transforming the day-to-day lives of developers. Bush, who has been coding since childhood, shares his insights on how AI is becoming embedded into every aspect of the DevSecOps pipeline, from writing code to identifying and remediating security vulnerabilities. John and Bush dive deep into GitLab's AI-powered features, collectively known as Duo, which are sprinkled throughout the software development process. They discuss how these features enhance productivity, automate monotonous tasks, and provide valuable insights to both developers and business users alike. Bush also sheds light on the importance of human oversight in the AI-assisted development process, emphasizing the need for thorough code reviews and security scans. Questions we answer in this episode: How is AI changing the daily work of developers? What are some real-world use cases for AI in the DevSecOps pipeline? How can organizations ensure the security and reliability of AI-generated code? Key Takeaways: AI is becoming an integral part of the entire software development lifecycle Developers must still carefully review and vet AI-generated code before deployment GitLab's AI gateway allows routing requests to the most appropriate AI models Bush provides a fascinating look at the evolution of DevSecOps, stressing the importance of considering security throughout the development process rather than as an afterthought. He explains how GitLab's AI-powered features, such as vulnerability scanning and automated remediation, help developers efficiently identify and fix security issues early on, saving time and resources in the long run. This episode is a must-listen for anyone interested in the cutting-edge intersection of AI and DevSecOps. Whether you're a seasoned developer, a security professional, or simply curious about the future of software development, you'll come away with valuable insights and a clearer understanding of how AI is revolutionizing the industry.Episode Notes Links & Notes Find John Bush on LinkedIn Find John Bush on X Try GitLab Duo Learn more about Paladin Cloud Got a question? Ask us here ! (00:00) - Welcome to Cyber Sentries (00:58) - About John Bush (03:58) - Moving to GitLab (05:30) - Solution Architects (06:40) - Duos AI Solutions (10:26) - Context (12:17) - Switching Models (13:58) - Best Practices (17:51) - Policy Capability (22:37) - Remediate the Vulnerabilities (23:59) - Dev Sec Ops in This Ecosystem (26:21) - Organization Approaches (28:55) - Level of Knowledge Required (31:09) - Finding John (32:14) - Wrap Up…

1
Top Cybersecurity Trends leveraging AI with Industry Insider Mike Crowe 28:56

1 year پیش28:56

28:56

On this episode, Paladin Cloud’s CEO and co-founder Dan Deeney steps into John Richards’ shoes to play host! He welcomes cybersecurity veteran Mike Crowe to the show. With over 30 years of experience as CIO of Colgate-Palmolive, Mike provides unique insight into the evolution of threats, strategies for defense, and trends that keep CISO’s up at night. Dan and Mike explore the increasingly complex threat landscape companies face today. From expanding digital footprints and geopolitical instability empowering nation-state attacks, the challenge grows for security teams. However, new tools also emerge to help lighten the load, such as automation that prioritizes risks and enables efficient remediation across global organizations. The conversation dives into specific trends like AI and how guardrails must develop alongside new capabilities. Open source models offer both risks and opportunities when thoughtfully incorporated into private LLMs. Throughout, Mike stresses finding what you don't know through proactive testing as the best way to stay ahead of attackers. Questions we answer in this episode: What are the top threats keeping CISOs up at night? How can security and DevOps teams better collaborate to reduce risks? Key Takeaways: Continually evolve defenses as the threat landscape grows ever more complex Automation and integration are critical to managing overwhelming workloads Challenge your security assumptions through ethical offensive testing With Mike's wealth of practical experience, this episode provides valuable strategic perspective on cybersecurity that both new and seasoned professionals can apply to strengthening their own organizations' posture. Listeners will gain insights on current realities and where the industry is heading to stay ahead of evolving dangers. Links & Notes Learn more about Paladin Cloud Got a question? Ask us here ! (00:00) - Welcome to Cyber Sentries (00:23) - Paladin Cloud CEO Dan Deeney Talks With Mike Crowe (00:51) - Meet Mike Crowe (02:01) - Overall Threat Landscape’s Evolution (03:55) - Example Threat (05:44) - AI (08:47) - Open Source (10:18) - Trends and Strategies in Defense (12:04) - Risk-Based Prioritization (13:40) - Remediation (16:55) - Ticketing Systems (18:38) - IntegratingTeams (21:57) - Emergence of a Hybrid Team (23:51) - Final Thoughts (27:20) - Wrap Up…

1
Supercharge Workflows, Secure Data: Build Better Apps with AI 23:15

1 year پیش23:15

23:15

Exploring the AI-Powered Future of Cloud Security with Thomas Johnson On this episode of Cyber Sentries, host John Richards interviews Thomas Johnson, CTO and co-founder of Multiplayer, about how AI is transforming cloud security. As AI capabilities rapidly advance, Thomas provides insights into how engineering teams can leverage AI to enhance workflows, generate code, and convert basic sketches into functional systems. John and Thomas dive into key questions surrounding AI ethics, choosing open source vs proprietary models, and best practices for handling sensitive data. Listen in to hear Thomas' advice for developers looking to integrate AI into their tech stacks. Questions we answer in this episode: How are dev teams currently using AI like Copilot? What are the main differences between neural networks and other AI? What security risks exist with generative AI models? Key Takeaways Focus on choosing the right problem and having clean, quality data. Open source models offer more control compared to proprietary models. Do not put sensitive data into generative models. This fascinating discussion explores how AI is transforming cloud security and development workflows. Thomas provides practical insights into leveraging AI's immense potential while avoiding pitfalls. Whether you're an engineering leader or a developer new to AI, this episode offers an enlightening look at the AI-powered future of tech. Links & Notes Multiplayer Learn more about Paladin Cloud Got a question? Ask us here ! (00:00) - Welcome to Cyber Sentries (00:22) - Meet Thomas Johnson (01:02) - AI Background (01:58) - Neural Networks (02:47) - Current Buzz (04:43) - Integrating AI (07:41) - Improving AI (10:57) - Think About the Problem and Data (12:25) - If Data Is the Problem (14:00) - Securities and Access (15:50) - RAG Model (17:52) - Open Source v. Proprietary (19:20) - Training and Inference Side (20:35) - Multiplayer (21:43) - Wrap Up…

1
AI for API Security: Field-Tested Insights from Cequence.ai Co-Founder Shreyans Mehta 30:01

1 year پیش30:01

30:01

John sits down with Shreyans Mehta, CTO and co-founder of Cequence Security, to discuss how AI and machine learning can be applied to improve cloud security. They provide valuable insights for security teams looking to leverage AI to protect their cloud environments and applications. The conversation focuses on using AI for security use cases like detecting anomalies and suspicious behavior, identifying misconfigurations, and automating response. Shreyans shares real-world examples of how Cequence Security has developed AI models to analyze network traffic, APIs, logs, and other data sources to detect threats targeting cloud applications and infrastructure. Questions we answer in this episode: How can AI improve visibility across cloud environments? What are some common use cases for AI in cloud security? How can AI help overburdened security teams? Key Takeaways: AI excels at detecting subtle anomalies and identifying emerging threats based on learned patterns. AI models must be continuously trained on new data to remain effective as attacks evolve. AI augments human analysts by automating tedious tasks so they can focus on higher-value security activities. An advantage businesses have in the AI arms race with attackers is being able to train their AI on their unique user activity patterns. This insightful discussion highlights the transformative potential of AI to improve threat detection, investigation, and response. Security teams looking to apply AI can come away with a better understanding of where to start and how to build an effective AI strategy. John and Shreyans explore key considerations around data quality, model accuracy, and responsible AI practices. Overall, this episode delivers practical guidance to help security leaders successfully navigate the AI landscape. Listen in to learn how to harness the power of AI to advance your cloud security program. Links & Notes Paladin Cloud Cequence Got a question? Ask us here ! Got a question about cybersecurity, AI, or something else related? Ask us here , and we'll get to it in a future episode! (00:00) - Welcome to Cyber Sentries (00:22) - Meet Shreyans Mehta (27:06) - Wrap Up…

1
Next Level Cloud Security: AI Opportunities with Shawn Anderson 30:25

1 year پیش30:25

30:25

Exploring the Transformative Potential of AI for Cloud Security In this episode of Cyber Sentries, host John Richards speaks with Shawn Anderson, an expert in cybersecurity and current CTO at Boston Meridian. They have an insightful discussion about how artificial intelligence is transforming cloud security. Shawn shares his valuable perspective from years of experience leading security initiatives for major corporations. He and John dive into topics like using AI to process massive amounts of data and telemetry, enabling new security capabilities. They also talk about how identity has become cybersecurity's new perimeter. Key themes from their conversation: AI allows security teams to analyze data at a scale not possible for humans, identifying risks and vulnerabilities more quickly. With cloud computing, the focus needs to be on protecting data itself, not just traditional network perimeters. Identity is central - knowing the user and device accessing data is critical for zero trust security. Compliance regulations help incentivize robust cybersecurity programs and controls. AI models need transparency, accountability, and governance to avoid misuse. Questions we answer in this episode: How can AI transform cloud security? What can we learn from past technological shifts like cloud adoption? How does identity enable zero trust security? Key Takeaways: AI enables security teams to find the most critical risks to prioritize. Mindsets need to evolve as new technologies emerge. Governance and accountability are crucial when applying AI. This insightful episode explores how AI is transforming cloud security and identity management. Shawn provides an expert viewpoint on applying AI securely and responsibly. Any cybersecurity or technology leader will gain valuable perspectives from this discussion. Links & Notes Paladin Cloud Boston Meridian Sean Anderson's blog Got a question? Ask us here ! Got a question about cybersecurity, AI, or something else related? Ask us here , and we'll get to it in a future episode! (00:00) - Welcome to Cyber Sentries (00:57) - Meet Shawn Anderson (04:09) - Cybersecurity and AI (06:32) - Identifying Exploitability (09:45) - Identity and Security (12:06) - How to Secure (14:16) - New Approaches? (16:58) - Accountability (22:54) - Exciting Times (26:03) - Finding Shawn (28:39) - Wrap Up…

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