Resilient Cyber w/ Helen Oakley - Exploring the AI Supply Chain

In this episode we sit down with Mark Simos to dive into his RSA Conference talk "You're Doing It Wrong - Common Security AntiPatterns" to dig into several painfully true anti-patterns in cybersecurity and how we often are our own worst enemy.-- First off, for those not familiar with you or your background, can you tell us a bit about that.- So you delivered this talk at RSA, focused on Cybersecurity "Anti-Patterns". How did the talk come about and how was it received by the audience?We won't be able to name them all, but I would love to discuss some of them.- You talk about the technology-centric thinking, and how folks believe security is about technology instead of business assets. Can you explain this one?- The silver bullet mindset was another that jumped out to me. This is thinking a single solution can 100% solve complex and continuous problems. What ways have you seen this one play out?- The paradox of blame is one that made me laugh because I have seen this play out a lot. You talk about the CYA mentality, how security warns about issues, they are skipped and then security is blamed. This one really stings because I have seen it happen, and in fact, I feel like we're seeing it play out with some of the CISO liability cases and regulations that are emerging. - Perhaps one of the most well known anti-patterns of security being the office of no or resisting trends. I feel like we saw this with Cloud, Mobile, SaaS and now AI. Why do we keep repeating these mistakes?

- First off, for folks not familiar with your background, can you tell us a bit about that and how you got to the role you're in now?- We see rapid adoption of AI and security inevitably trying to keep up, where should folks start?- There are some really interesting intersections when it comes to AI and supply chain, what are some of them?- We see a thriving OSS ecosystem around AI, including communities and platforms like Hugging Face. What are some key things to keep in mind here?- AI BOM's - what are they, how do they differ from SBOM's, and what are some notable efforts underway right now around them?

- First off, for those who don't know you, can you tell us a bit about your background?- You've been providing a deep dive talk into how to become a CISO. I'm curious, what made you put together the presentation, and how has it been received so far when you've had a chance to deliver it?- You have broken down what you call "four stages of the journey" that encompasses skills in areas such as Technical, Management, Leadership and Political. This to me comes across as CISO's need to be multidisciplinary professionals with a variety of skillsets. What do you think makes this so important for CISO's to be successful?- Let's walk through the four stages a bit. You start off with Technical skills. This seems to the foundation many CISO's start with, coming from roles in areas such as engineering, architecture and so on. What makes this foundation so key?- How do CISO's maintain a strong technical foundation and depth, as they get further away from the tactical work and more into the leadership and strategic role?- CISO's of course have to be able to manage the teams they build and/or oversee. What are some of the key management leadership skills you think CISO's must have?- Leading is a fundamental part of what CISO's do. Whether it is direct reports, or the broader security org. What are some of these leadership skills and how can they have a positive or negative impact?- Last but not least is the political side of things. CISO's of course operate among other C Suite peers, the board and within complex organizations with competing interests, personalities and incentives. This could arguably be the most important skill to hone in terms of ensuring you're effective in your role, and have a lasting impact on organizational risks. What are your thoughts on the political skills front? - I'm curious as someone who's been a multiple time CISO and is now advising others on how to obtain the role - where do you see the role of the CISO headed in the future? We see new aspects such as litigation, SEC rules, determining materiality, CISO's needing to speak the language of the business and more - all while needing to manage risks with the ever changing technological landscape, with AI being the latest example. Where is it all headed?

In this episode we sit down with Amir Kessler and Aviram Shmueli of AppSec innovator Jit to dive into the complexities of the modern AppSec landscape and explore the emerging Application Security Posture Management (ASPM) ecosystem.- First off, for folks not familiar with your backgrounds, can you tell us a bit about both of your backgrounds and how you got to the roles you're in now?- We're seeing a ton of interest in the topic of ASPM in the AppSec space. What do you think has led to this emerging category and what key problems is it looking to solve?- I know your team puts a big emphasis on not just the tech but also the DexEx and UX. Why is this so critical to address AppSec risks and securing organizations and their code?- While there is value in ASPM platforms, many Dev teams and engineers are opinionated about their tools, how important is this flexibility and extensibility in the platform that the Jit team has built?- A key challenge includes vulnerability overload. Teams drowning in massive vulnerability backlogs and trying to add vulnerability context and focus on the most relevant risks for developers. How does Jit approach this?- Not all ASPM platforms are the same, but we see many vendors rallying around the category. What do you think makes Jit unique and differentiates what the team has built?

- For those that don't know you, can you tell us a bit about your background and your current role?- I know you help lead the ATLAS project for MITRE, what exactly is ATLAS and how did it come about?- The AI threat landscape is evolving quickly, as organizations are rapidly adopting GenAI, LLM's and AI more broadly. We are still flushing out some fundamental risks, threats and vulnerabilities to consider. Why is it so important to have a way to characterize it all?- When it comes to AI Security, there is also a lot of hype, buzz and dare I say FUD out there. Why are you so adamant that we take a data-driven and actionable approach?- I know you recently helped participate in the first big AI security incident focused TTX, including with CISA and other Government and Industry partners, can you speak a bit about the experience and why exercises like this are important for organizations to do when it comes to AI security?- As someone close to the AI domain, when it comes to security, what are your thoughts on both where we're headed for security of AI, and AI to bolster security? - For folks wanting to learn more about ATLAS, and the work MITRE is doing around AI security, where should folks get started?- What are some key open questions and opportunities for the community to help shape the future of AI security and assurance?https://atlas.mitre.org/ ← Check out MITRE ATLAS!

In this episode we sit down with GenAI and Security Leader Steve Wilson to discuss securing the explosive adoption of GenAI and LLM's. Steve is the leader of the OWASP Top 10 for LLM's and the upcoming book The Developer's Playbook for LLM Security: Building Secure AI Applications-- First off, for those not familiar with your background, can you tell us a bit about yourself and what brought you to focusing on AI Security as you have currently?- Many may not be familiar with the OWASP LLM Top 10, can you tell us how the project came about, and some of the value it provides the community?- I don't want to talk through the list item by item, but I wanted to ask, what are some of the key similarities and key differences when it comes to securing AI systems and applications compared to broader historical AppSec?- Where do you think organizations should look to get started to try and keep pace with the businesses adoption of GenAI and LLM's?- You've also been working on publishing the Developers Playbook to LLM Security which I've been working my way through an early preview edition of and it is great. What are some of the core topics you cover in the book?- One hot topic in GenAI and LLM is the two large paths of either closed and open source models, services and platforms. What are some key considerations from your perspective for those adopting one or the other?- I know software supply chain security is a key part of LLM and GenAI security, why is that, and what should folks keep in mind?- For those wanting to learn more, where can they find more resources, such as the LLM Top 10, your book, any upcoming talks etc?

In this episode we sit down with the Founder/CEO of Horizon3.ai to discuss disrupting the Pen Testing and Offensive Security ecosystem, and building and scaling a security startup - from a founders perspective.From HP, to Splunk to JSOC - all leading to founding Horizon3, Snehal brings a unique perspective of business acumen and technical depth and puts on a masterclass around venture, founding and scaling a team and disrupting the industry!---- For those not familiar with your background who Horizon3AI, can you tell us a bit about both?You are building something special at Horizon3AI and I will dive into that here soon, but you've also been posting some great content about building a security startup, the team, the market dynamics and more, so I wanted to spend a little time chatting about that. - First off, your company was recently listed by Forbes as one of the top 25 venture backed startups likely to reach a $1 billion dollar valuation. How did that feel and what do you think contributed to your team landing on such a prestigious list?- Speaking of venture backed, you recently participated in the Innovators and Investors Summit at BlackHat where you and other panelists dove into the topic of what founders should look for in investors and how VC's can stand out in a highly competitive market. As someone who's navigated that journey and is now being listed on lists such as that from Forbes - what are some of your key lessons learned and recommendations for early-stage founders?- You've stressed the importance of the team over the initial idea and what you've called "pace setters" and "ankle weights" within the team and the importance of both. Can you elaborate on the terms and broader context around building a foundational team to scale the company successfully?- You also have discussed the 4 advantages iconic companies build over time, what are they and why do they help differentiate you?- Pivoting a bit, you have a really unique background, blending both the private and public/defense sector. How do you think that's helped shape you and the way you've build your team and company and approach the market?- Horizon3AI is big on the mantra of "offense informed defense". Why is that critical and why do you think we miss the value in this approach in many spaces in the security ecosystem?- You all have poked some fun at the way many organizations operate, running vuln scans, doing an annual pen test, and having a false sense of security. How is Horizon3AI disrupting the traditional Pen Testing space and leading to more secure organizational outcomes?

In this episode we sit down with Chloe Messdaghi, Head of Threat Intelligence at HiddenLayer, an AI Security startup focused on securing the quickly evolving AI security landscape. HiddenLayer was the 2023 RSAC Innovation Sandbox Winner and offers a robust platform including AI Security, Detection & Response and Model Scanning.- For folks now familiar with you or the HiddenLayer team, can you tell us a bit about your background, as well as that of HiddenLayer?- When you look at the AI landscape, and discussions around securing AI, what is the current state of things as it stands now? I would recommend checking out the "AI Threat Landscape Report" you all recently published.- Many organizations of course are in their infancy in terms of AI adoption and security. I know the HiddenLayer team has really been advocating concepts such as AI Governance. Can you talk about how organizations can get started on this foundational activity?- HiddenLayer published a great two part series on an "AI Step-by-Step Guide for CISO's", can you talk about some of those recommendations a bit?- You all also have been evangelizing practices such as Red Teaming for AI and AI Models. What exactly is AI Red Teaming and why is it so critical to do?- Another interesting topic is how we're beginning to look to Govern AI, both here in the U.S. with things such as the AI EO, and in the EU with the EU AI Act. What are some key takeaways from those, and what do you think about the differences in approaches we're seeing so far?

- For those not familiar with you and ThreatLocker, can you tell us a bit about yourself and the ThreatLocker team?- When we look out at the endpoint protection landscape, what do you feel some of the most pressing threats and risks are?- There of course has been a big push for Zero Trust in the industry being led by CISA, NIST, and industry. How does ThreatLocker approach Zero Trust when it comes to the Endpoint Protection Platform?- Another thing that caught my eye is the ThreatLocker Allowlisting capability. We know Applications remain one of the top attack vectors per sources such as the DBIR. Can you tell us about the ThreatLocker Allowlisting capability and blocking malicious app activity on endpoints?- Taking that a step further, you all often speak about your Ringfencing capability that deals with Zero Day vulnerabilities. As we know, traditional vulnerability management tools can't stop Zero Day exploits. How does the ThreatLocker platform handle Zero Day protection?- I saw you all recently had a webinar focused on CMMC and NIST 800-171, which applies to the Defense Industrial Base. Obviously endpoint threats are a big concern there for the DoD and the DIB. Can you talk about how ThreatLocker is working with that community?- For folks wanting to learn more about ThreatLocker, where should they go, and what are some things to keep an eye out for?Find out more about ThreatLocker!

- For folks not familiar with you and your background, can you tell us a bit about that?- How about Resourcely, how did it come about and what problem did you set out to tackle?- Why do you think Cloud Misconfigurations are still so pervasive, despite being fairly well into the Cloud adoption lifecycle?- How have organizations traditionally tried to handle secure configurations, in terms of establishing them, maintaining them, monitoring for drift and so on?- Where do you think we're headed, I know you all recently had your capability go GA and you discuss concepts such as blueprints, frameworks, paved paths etc. - You've been talking a lot about the Death of DevSecOps. Let's chat about that, what case are you making with regard to DevSecOps and where the industry is headed?