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

Cyber Sentries: AI Insight to Cloud Security

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about a year ago 25:52

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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

(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

17 episod

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

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

Cyber Sentries: AI Insight to Cloud Security

published about a year ago

Kongsi

MP3•Laman utama episod

Bel Lepe Reveals How AI Reduces Security Risks By Removing the Human Element

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

Links & Notes

(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

17 episod

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

Semua episod

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

20 days ago33:34

33:34

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

11 weeks ago32:49

32:49

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16 weeks ago42:15

42:15

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

20 weeks ago25:52

25:52

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24 weeks ago36:10

36:10

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

29 weeks ago46:21

46:21

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33 weeks ago32:32

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

37 weeks ago27:00

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…

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

42 weeks ago31:50

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…

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46 weeks ago27:42

27:42

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

51 weeks ago33:55

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 ago28:56

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 ago23:15

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 ago30:01

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 ago30:25

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…

Cyber Sentries: AI Insight to Cloud Security

1
Responsible AI for Cybersecurity: A Guide from Expert Somesh Jha 34:30

1 year ago34:30

34:30

Navigating the AI Security Landscape with Somesh Jha In this Cyber Sentries episode, host John Richards interviews AI expert Somesh Jha on using AI for security. They discuss the promise and perils of AI in cybersecurity, best practices for implementation, challenges with fine-tuning models, and adopting a multi-agent approach. Jha provides insights on the potential of AI to transform cloud security through automating tasks like intrusion detection. However, attackers could also weaponize AI for large-scale spear phishing. As the technology matures, it remains unclear exactly what will be possible. The episode covers common mistakes like applying AI too broadly, the need for careful benchmarking to avoid hallucinations, the large data requirements for fine-tuning models, and the benefits of a multi-agent framework. Questions You May Have How can AI be used for good and bad in cybersecurity? What are some common mistakes when applying AI to security? How can we evaluate if an AI model is working well for security? Key Takeaways AI can automate spear phishing at scale, but also help detect intrusions Start with a narrow security problem before expanding AI to broader ones Careful benchmarking is crucial to evaluate AI security tools Beware of AI hallucinations - grounding techniques can help Fine-tuning AI models requires large datasets to work well Adopt a multi-agent approach when building AI applications Jha advises starting with a focused security use case and doing careful benchmarking to demonstrate value before expanding AI more broadly. He notes the challenges of fine-tuning models with limited data. Jha explains how Langroid is designed around a multi-agent approach for maintainable and extensible AI code. This episode provides insights for security teams on leveraging AI responsibly, with practical advice on implementation pitfalls. Jha offers perspectives on realizing the future potential of AI in cybersecurity. His expertise provides a useful guide for applying AI to security effectively. Links & Notes Paladin Cloud Langroid Got a question? Ask us here ! (00:00) - Welcome to Cyber Sentries (32:45) - Wrap Up…

Cyber Sentries: AI Insight to Cloud Security

1
Welcome to Cyber Sentries 1:26

1 year ago1:26

1:26

Welcome to Cyber Sentries, an exciting new podcast from Paladin Cloud exploring the transformative potential of AI for cloud security. Each episode, host John Richards will be speaking with visionary thought leaders, pioneering developers, and cybersecurity experts about how artificial intelligence is reshaping the future of cloud security. Expect mind-expanding insights, lively debates, and cutting-edge discoveries that will change how you think about AI and security. In line with our open-source-first philosophy, we also want to hear from you, our listeners. We’re looking forward to getting thoughts and questions from you and even suggestions for guests you’d like to hear on the show. So plug in and get ready for an illuminating journey into the future of AI and cloud security. The first episode launches on December 13th. Be sure to subscribe now on your favorite podcast app so you don't miss it! Cyber Sentries, AI Insights to Cloud Security. Learn more about Paladin Cloud at paladincloud.io !…

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