Edgar Ortiz
10:00 am - 10:50 am
Organizations are investing heavily in AI, yet many security teams struggle to move beyond pilots and into real operational impact. What separates those who scale from those who stall? In this session, we will share AI adoption strategies, common pitfalls to avoid, and how to make AI a force multiplier within your automation strategy.
Edgar Ortiz currently serves as a Principal Solutions Engineer at Tines, where he works with enterprises to transform how teams leverage automation, orchestration, and AI. Prior to Tines, Edgar held technical and leadership roles at Noname Security/Akamai, MuleSoft/Salesforce, and Cisco. As the first Sales Engineer at Noname Security, he helped build and scale the company's presales organization from its earliest stages through its acquisition by Akamai Technologies. A software engineer by training, Edgar brings a practitioner's perspective to emerging technology, combining hands-on technical depth with years of experience advising enterprise architects, security leaders, and executives. He is particularly interested in the convergence of APIs, cybersecurity, automation, and AI, and how these technologies are reshaping the way organizations build, secure, and operate modern systems.
Mark Harman
11:00 am - 11:50 am
Learn about skills and MCP server capabilities for LLMs that can accelerate you and your team in cybersecurity.
Mark Harman is a cybersecurity and networking professional specializing in enterprise firewall architecture, Juniper SRX, network automation, and AI-assisted security operations. He combines deep expertise in routing, VPNs, zero trust, IDS/IPS, and managed security services with hands-on software development in Rust, Linux, virtualization, and local AI systems. Mark develops security tools focused on simplifying firewall management, configuration analysis, and operational resilience.
Jonathan Borgesen
1:00 pm - 1:50 pm
Agentic AI is transforming how organizations automate work and interact with business systems. Unlike traditional AI that responds to prompts, AI agents can independently plan, act, access data, and execute tasks across multiple environments. As adoption accelerates, governance and security controls are struggling to keep pace. This session explores how autonomous AI agents challenge traditional cybersecurity models built around human users and static identities. Attendees will examine risks such as agent sprawl, excessive permissions, data exposure, autonomous decision-making, and third-party agent integrations, while learning practical strategies to maintain visibility, accountability, and control in an increasingly autonomous enterprise.
As Technical Director of Security at EchoStor Technologies, Jonathan leads the organization’s comprehensive security practice. He focuses on building strong security programs that align with modern trends, ensuring customers meet both their security and business objectives. With over 15 years of experience in the cybersecurity industry, Jonathan has built and led security practices for multiple organizations. His approach emphasizes business impact, cross-architecture solutions, and strategic alignment rather than simply focusing on technology. This perspective has earned him a reputation as a trusted advisor and thought leader among clients and peers.
Jordan Farkas
2:00 pm - 2:50 pm
AI is compressing the timeline of cyber risk. Attackers, agents, and automated workflows now operate at machine speed, yet many security programs still rely on periodic inventories, one-time control checks, and monthly patch cycles. This session argues that asset intelligence must come first: AI can only act with confidence when it has complete, trustworthy context. We'll examine why context remains siloed across security, IT, cloud, identity, and HR systems, and why no single system of record exists. We'll also look at how that fragmentation undermines AI accuracy and trust. We'll then show how unifying more than 40 asset types across over 1,400 integrations creates a continuous, authoritative source of truth spanning devices, identities, software, SaaS, and cyber-physical assets. Attendees will see how this foundation supports both sides of the AI challenge: securing AI itself by discovering AI assets, and using AI to accelerate security work through natural-language investigation, attack path analysis, recommended remediations, and automated workflows. Attendees will leave with a practical framework for moving from periodic asset management to always-on asset intelligence, and for putting complete context behind AI-driven security operations.
Jordan Farkas is a Principal Sales Engineer for Strategic Accounts at Axonius. Jordan has a exposure management background and is in his 6th year at Axonius, where he leads the Field Technical Advisory Group for AI & Platform. He is based out of New York City, eats too much sushi, and is a fan of the world champion Knicks, and unfortunately the NY Mets and NY Giants.