If you're an enterprise sitting here, how would you answer the question of when should I think about building my own Agentic application internally versus buying. >> I think it mostly just depends on what's core to your business. The more interesting way to look at it is that everyone's agent is actually quite different.>> So, if we're deploying a, you know, customer service agent to like a large airline compared to, you know, like a car rental company compared to like a bank or something, like everyone's g ...

What do you think multi-agent interaction is. I mean, if you take a really really high level view, multi- aent interaction is basically like essential for AGI, right. Um, we're all doing multi- aent interactions now, right. Um, we're all agents, right.So, you so in in in one sense like if you want agents to be close to this level of intelligence, they need to be able to handle multi-agent interactions, right. Um, but to be a go down bit more, you know, concrete, right. I think of it as like the you always h ...

Are coding agents really just creating a bigger problem for production. I think the problem in my opinion with VIP coding is that it isn't going far enough, right. Um, and yeah, you know, you've gotten to this place where you can build code quickly.Um, and then you deploy it, something breaks, but now you don't have that deep understanding of like what you actually built, right. And somebody else has to go and fix that and then that learning doesn't sort of transfer back through, right. Um but maybe one way ...

I'm already using codegen tools like cursor. Can I just extend that to solve my production problems. >> Codegen tools are sort of, you know, designed to operate on the sort of the addressible universe of code, right.Production system is sort of like a living breathing animal, right. It's more than just code, right. It's it's really sort of emergent behavior that comes from like a bunch of these things interacting with each other, right. Like the code, the infrastructure, the deployments, the you know the th ...

Why is evaluating an agent agent or an agentic system different or even more complex than you know traditional obviously traditional software but also you know just your singleshot LLM output. >> Um I think it's not >> okay. >> Um hot >> take uh I'm of the mindset that agents are a very natural evolution of AI software and AI software is a very natural evolution of software.Um, and I actually think on average, I I certainly see this with some of our more sophisticated customers, the um resulting agentic sys ...

Let's fast forward five years. What do abnormal and cogent look like and what role do agents have in that. I see abnormal being this kind of behavioral security platform that's capable of kind of monitoring and protecting all your identities across your organization from you know human identities obviously to conference rooms and other non-human identities as well as AI agents.So I think we will see kind of AI agents becoming a increasing big a bigger part of the workforce right for probably most companies ...

Core Problem & Solution - Fable Security addresses the critical issue of human error in cybersecurity, which is a leading cause of breaches, especially with the rise of AI-driven attacks [2][3] - Fable Security offers an AI-first human risk platform that understands human vulnerabilities and deploys personalized behavioral interventions to reduce human errors and improve overall organizational security [3][10] - The company shifts the focus from traditional security awareness training to human risk management, providing more relevant and effective protection for employees [5][7] Product & Technology - Fable Security uses AI to understand customer risk at scale and deliver personalized interventions to end-users, addressing specific organizational hot pockets [10] - The platform proactively briefs campaign staffers on the latest breaches and ensures devices are up-to-date, preventing iOS and Android attacks [11] - Fable is constantly monitoring the latest attack techniques, even before security teams have the tools to spot them [5] Customer Impact & Adoption - Fable Security protects enterprises across various sectors, including financial services, healthcare, technology, logistics, manufacturing, and energy [9] - Customers have observed radical results compared to traditional security awareness programs, with employees demonstrating less repeat offending behavior, such as clicking on fewer links and downloading fewer attachments [9][10] - The Democratic National Committee (DNC) used Fable to proactively brief campaign staffers and secure their devices during the election [11] Investment & Growth - Fable Security raised $31 million in its first year [13] - The company is planning to scale the team significantly [14] - Fable offers a unique opportunity for AI developers to apply their knowledge to solve the challenging problem of understanding and influencing human behavior for the better [14]

Core Problem & Solution - Fable Security targets reducing human errors, a leading cause of breaches, with an AI-first human risk platform [2][3] - The platform understands human vulnerabilities and uses AI to deploy personalized behavioral interventions to improve organizational security [3][10] - Fable shifts from security awareness training to human risk management, addressing the ineffectiveness of traditional methods [5][7] AI's Impact on Threat Landscape - Attackers are using AI to create hyper-realistic social engineering attacks, making them harder to detect [3][4] - Fable focuses on identifying and neutralizing these new attack techniques before traditional security measures can [5] Customer Adoption & Results - Fable protects enterprises across various sectors, including financial services, healthcare, technology, logistics, manufacturing, and energy [9] - Customers have observed radical results compared to traditional security awareness programs, with employees committing fewer repeat offenses [9][10] - Examples include proactively briefing employees to prevent ransomware attacks and protecting the Democratic National Committee during elections [11][12] Company Growth & Opportunity - Fable has raised $31 million in its first year [14] - The company is scaling its team and offers an opportunity to apply AI to understand and influence human behavior for the better [15]

Greylock's Change Agents is a speaker series that explores the cutting edge of Agentic AI. In this session we interview Karthik Narasimhan, Head of Research at Sierra and Associate Professor of Computer Science at Princeton. Karthik discusses his work on the future of language agents and multi-agent interaction and explores his definition of multi-agents, their capabilities, and the work being done in his lab to advance this field. ...

Company Overview - Cogent is building AI agents to automate vulnerability management, a critical cybersecurity problem [2] - The company aims to remove bottlenecks and increase efficiency for security teams by applying AI to model organizational behavior [3] - Cogent's AI agents are designed to resemble the reasoning capacity of top security, engineering, and IT personnel to remediate risk faster [4] Technology and Innovation - Cogent differentiates itself by integrating data sources from across the enterprise and applying intelligence to model organizational behavior [3] - The company leverages generative AI to automate human judgment in identifying and resolving critical security findings [13] - Cogent combines security experts with AI experts from companies like Google Research, Coinbase, Tesla, and Stripe [8] Market Opportunity and Challenges - Generative AI is accelerating the threat landscape, enabling attackers to quickly generate exploit code [10] - Organizations face an asymmetry between attackers and defenders, requiring faster response times [11][12] - Cogent aims to bridge the gap between stakeholders and enhance organizational security in the face of evolving AI-driven threats [11] Funding and Future Plans - Cogent has announced an $11 million seed fund raise [14] - The company plans to extend its platform to cover more use cases and scale its impact by bringing more customers onto the platform [15] Talent Acquisition - Cogent operates in a large cybersecurity market with accelerating challenges due to generative AI [17] - The company has assembled a core team with deep expertise in both security and AI [17] - Cogent emphasizes customer centricity and alignment, aiming to provide a rewarding professional experience for its employees [17]