Program Hosts
Walker Dimon
AI for Cyber Group Leader
MITRE
Christina Liaghati
AI Department Manager
MITRE
Martin Stanley
AI and Cybersecurity Researcher
NIST
James Rutt
CISO
The Dana Foundation
Jonathan Litchman
Co-Founder & CEO
The Providence Group
Sam Rehman
CEO
Hitachi Cyber
Andy Chun
Founder
B9AI
Derek Melber
Technology Strategist
Guidepoint Security
Dean Sapp
CISO
Filevine
Mark Kraynak
Founding Partner
Acrew Capital
Michelle Dennedy
Chief Data Strategy Officer
Abaxx Technologies
Michael Myint
CISO
AdaptHealth
Zaheer Shaikh
CISO
Al Maryah Community Bank
Kevin McDonald
CISO
Alvaka
Chloe Autio
Founder and CEO
Autio Strategies
Rick Doten
CISO
Centene Corporation
Merlin Namuth
CISO
City and County of Denver
J. Michael Daniel
President & CEO
Cyber Threat Alliance
Apostol Vassilev
Research Team Supervisor
NIST
Tyson Kopczynski
CISO
WhiteRabbit
Rob van der Veer
Chief AI Officer
Software Improvement Group
Mark Butler
VP Security Solutions
Trace3
Patrick Angel
CISO
WGroup
Michael Nouguier
Partner & CISO
Richey May
Eidan Siniver
Cyber, Data & AI CTO
Team8
Michael Morgenstern
Partner
DayBlink Consulting
Karina Klever
CEO / CISO
Klever Compliance
Tim Dzierzek
Director, Security and Compliance
Atomic
Benjamin Dulieu
CISO
Duck Creek Technologies
Michelle Dennedy
Chief Data Strategy Officer
Abaxx Technologies
DATE
HOST
TOPIC
PANELISTS
Technology review
LIVE NOW
Autonomous AI Agents for End-to-End SOC Operations: eliminating alert fatigue and automating the full triage-to-resolution lifecycle
Simbian
Ambuj Kumar and Anton discuss AI SOC, alert fatigue, and tribal knowledge, exploring how AI agents can automate triage, investigations, and MDR workflows while preserving human judgment.
Analyst Briefing
Ambuj Kumar, Co-founder and CEO of Simbian, joins Google Industry Analyst Anton Chuvakin to discuss AI SOC, alert fatigue, and tribal knowledge — exploring how AI agents can automate triage and fundamentally change security operations.
Ambuj Kumar
Co-founder and CEO
Simbian
Anton Chuvakin
Industry Analyst
Google
Technology review
LIVE NOW
Benchmarking Continuous AI Risk Detection & LLM‑Guardrail Remediation
Enkrypt AI
Powered by the world's most advanced AI threat database, Enkrypt’s capabilities are based on proprietary databases that combine insights from GenAI applications, open source data, and our dedicated ML research. Detects threats, removes vulnerabilities, and monitors performance for continuous insights.
Executive Overview
A discussion of Enkrypt AI’s approach to enterprise agentic AI security, covering policy-to-rule enforcement, adversarial testing, runtime guardrails, and how Encrypt builds trust infrastructure for autonomous AI.
Sahil Agarwal
CEO
Enkrypt AI
Platform Demo
A tour of Enkrypt AI’s policy engine, endpoint management, automated red-teaming, and runtime guardrails, showing how the platform secures and governs generative AI systems.
Technology review
LIVE NOW
Evaluating AI‑Native Terminals for Technical Ops: Security & Compliance
Kindo
How to bring Agentic execution to security, DevOps, and IT via one platform where AI analyzes context, takes action across systems, and verifies outcomes in production.
Executive Overview
An overview of how Kindo brings agentic execution to security, DevOps, and IT operations — enabling AI to analyze context, take action across systems, and verify outcomes in production.
Technology review
LIVE NOW
Assessing “Always‑On” AI Security: Model Vetting, Red‑Teaming & Runtime Monitoring
Protect AI
Each product in the Protect AI suite is backed by 17k+ security researchers from the huntr community, and in partnership with Hugging Face, our first- and third-party threat research feeds our products so teams can stay ahead of attackers.
Executive Overview
Ian explains how Protect AI enables you to implement AI-SPM capabilities to see, know, and manage security risks and defend against unique AI security threats, end-to-end.
Richard Stiennon
Research Analyst
IT-Harvest
Ian Swanson
CEO and Founder
Protect AI
Platform Demo
Chris tours the Protect AI platform with a focus on the Guardian component, the main capability of the most comprehensive platform for securing your AI. Chris show how you can implement AI-SPM capabilities to see, know, and manage security risks and defend against unique AI security threats
Technology review
LIVE NOW
Testing Agentic Security for Agentic AI Applications
Straiker
Agentic-native models for detection and minimal false positives, sub-second guardrail and detection performance designed for real production workloads and enterprise-grade privacy, isolated data paths, and adaptive guardrails that continuously improve without human tuning are the hallmarks of Straiker’s technology.
Analyst Briefing
A discussion of Straiker’s approach to agentic AI security including prompt-injection, data leakage, tool manipulation, red-teaming, guardrails, and how enterprises should prioritize AI security.
Ankur Shah
Co-Founder & CEO
Straiker
Anton Chuvakin
Industry Analyst
Google
Platform Demo
A full walkthrough of Straiker’s Ascend and Defend AI, showing automated red-teaming, runtime guardrails, and threat detection across RAG and agentic AI applications.
Technology review
LIVE NOW
Comparing Unified AI Security Platforms for LLMs, RAG & AI Agents
Noma Security
To secure the entire AI ecosystem you must have full visibility and control over LLMs, RAG systems and autonomous agents. Without this comprehensive security and governance you cannot ensure your organization is safe, compliant and ready for the AI-driven future
The Role of AI at Noma
A walkthrough of Noma Security's unified AI security platform, covering LLM security, RAG protection, autonomous agent governance, and how enterprises can maintain control and compliance across their entire AI ecosystem.
Technology review
LIVE NOW
Measuring Real‑Time Visibility & Behavior‑Based Governance for Every Model & Agent
Witness AI
Govern human and AI agent workforces with network wide visibility and behavior based controls. Protect models and applications with runtime defense, enabling innovation with an enterprise-first, private instance architecture.
Executive Overview
WitnessAI is building the guardrails that make AI safe, productive, and usable. Our platform allows enterprises to innovate and enjoy the power of generative AI, without losing control, privacy, or security.
Trevor Welsh
VP of Products
Witness AI
Platform Demo
See how we enable you to observe, control and protect all aspects of AI usage in your environment
Trevor Welsh
VP of Products
Witness AI
Technology review
LIVE NOW
Profiling Agentless SaaS Controls to Minimize Promptware & Anomalous AI Behavior
Zenity
Protection across the entire Agent ecosystem and organizations’ modern environments (e.g. misconfigurations, tool usage, triggers, and runtime behavior) to give security teams a unified, intent-aware view of agent activity. Our dynamic graph stitches together build-time and runtime data, revealing how individual issues compound into real risk.
Analyst Briefing
Michael Bargury
Co-Founder & CTO
Zenity
Anton Chuvakin
Industry Analyst
Google
Technology review
LIVE NOW
Build and Run Secure AI Systems: identify, assess and mitigate security risks across your entire AI lifecycle
Pillar Security
Accelerate your AI journey with full visibility, continuous risk assessment, and adaptive protection while discovering all AI assets across your organization to eliminate blind spots and ensure compliance.
Technology review
LIVE NOW
Agentic AI Security Operations: autonomous threat detection and response at machine speed
Legion Security
Legion Security delivers AI-driven security operations that autonomously detect, investigate, and respond to threats across your environment — reducing analyst workload and mean time to respond.
Technology review
LIVE NOW
Vulnerability Management at Scale: consolidating security findings across the entire SDLC
DefectDojo
DefectDojo is the leading open-source vulnerability management platform that aggregates, deduplicates, and prioritizes security findings from hundreds of scanners — giving security teams a single pane of glass across the full software development lifecycle.
Technology review
LIVE NOW
AI-Powered Data Classification: automating sensitive data discovery and protection at enterprise scale
Kriptos
Kriptos uses artificial intelligence to automatically classify, tag, and protect sensitive data across your organization — eliminating the manual effort of data labeling and ensuring consistent policy enforcement regardless of where data lives.
Executive Interview
Daniel Molina, EVP Global Sales at Kriptos, explains how AI-powered data classification automatically identifies, labels, and protects sensitive data across your organization — ensuring consistent policy enforcement wherever data lives.
Technology review
LIVE NOW
Risk-Based SOAR: unifying security orchestration, automation, and response on a single low-code platform
SIRP
SIRP is a risk-based security orchestration, automation, and response platform that connects your security stack, automates repetitive workflows, and surfaces the context analysts need to make faster, higher-confidence decisions.
Technology review
LIVE NOW
AI-Augmented Security Investigations: turning analyst knowledge into reusable automation
Crogl
Crogl transforms how security analysts investigate threats by capturing their reasoning as structured, reusable workflows — enabling junior analysts to execute expert-level investigations and reducing the institutional knowledge bottleneck in every SOC.
Technology review
LIVE NOW
Continuous Exposure Management: prioritizing and remediating attack surface risk with AI
Daylight Security
Daylight Security provides AI-driven exposure management that continuously discovers, prioritizes, and helps remediate attack surface risks — giving security teams a clear, actionable view of what matters most before adversaries can exploit it.
Technology review
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AI Identity Security: detecting and stopping identity-based attacks across hybrid environments
MagicMirror
MagicMirror provides AI-powered identity threat detection that surfaces compromised credentials, privilege escalation, and lateral movement in real time — protecting the identity layer that attackers most frequently exploit.
Technology review
LIVE NOW
Natural Language Security Analytics: querying your security data the way you think about it
Aiquery
Aiquery enables security teams to query and analyze their data using natural language — eliminating the barrier between analyst intent and actionable insight without requiring deep knowledge of query languages or data schemas.
Executive Interview
Nicholas Comeau talks about how AI is used by Aiquery — enabling security teams to query and analyze their data using natural language, eliminating the barrier between analyst intent and actionable insight.
Technology review
LIVE NOW
AI Security Posture Management: governing and securing your AI applications from development to production
Singulr AI
Singulr AI provides comprehensive AI security posture management — discovering AI assets, detecting misconfigurations and data risks, and enforcing governance policies across your entire AI application landscape.
Executive Interview
Shiv Agarwal, CEO & Co-Founder of Singulr AI, discusses how comprehensive AI security posture management discovers AI assets, detects misconfigurations and data risks, and enforces governance policies across the enterprise.
Technology review
LIVE NOW
AI Application Security Testing: automated red teaming and vulnerability assessment for LLM-powered systems
Bonfy.ai
Bonfy.ai automates security testing for AI-powered applications — identifying prompt injection, jailbreaks, data leakage, and model manipulation risks before they reach production through continuous red teaming and assessment.
Executive Interview
Gidi Cohen, CEO and Co-Founder of Bonfy.AI, explains rising AI-driven data risks, why legacy tools lack context and accuracy, and how Bonfy.AI uses entity-aware analysis to secure data across AI flows and the full data lifecycle.
Technology review
LIVE NOW
Extended Security Visibility: unified threat detection across cloud, endpoint, and network attack surfaces
WideField
WideField provides unified security visibility that correlates signals across cloud infrastructure, endpoints, and network traffic — giving security teams the broad situational awareness needed to detect and respond to modern multi-stage attacks.
Executive Interview
Abhay Kulkarni, CEO & Co-Founder of WideField, explains how unified security visibility correlates signals across cloud infrastructure, endpoints, and network traffic to detect and respond to modern multi-stage attacks.
Technology review
LIVE NOW
AI Model Security: detecting trojans, backdoors, and adversarial vulnerabilities in machine learning systems
TrojAI
TrojAI specializes in AI model security — detecting hidden backdoors, trojan attacks, and adversarial vulnerabilities embedded in machine learning models before they can be exploited in production systems.
Executive Interview
Lee explains how adversarial AI risk emerged, why generative AI accelerated the threat, and how enterprises can assess and protect models and agents at scale.
Technology review
LIVE NOW
Continuous AI Red Teaming: automated adversarial testing throughout the AI development lifecycle
Mindgard
Mindgard delivers continuous AI red teaming that automatically tests models and AI-powered applications against the full spectrum of adversarial attacks — from prompt injection and jailbreaks to model extraction and data poisoning.
Executive Interview
Peter Garraghan, Founder & Chief Science Officer of Mindgard, discusses how continuous AI red teaming automatically tests models and AI-powered applications against adversarial attacks including prompt injection, jailbreaks, and data poisoning.