Program Hosts
Jamie Morrison
Director SOC
One Source

Jim Rutt
CISO
The Dana Foundation

Jon Shende
Global VP SecOps
Sutherland

Greg Rogers
CISO
GuidePoint Security

Christopher Crowley
Independent Consultant
Montance

Arif Hameed
CISO
C&R Software

John Rubey
Managing Director
Accenture

Garrett Smiley, Ph.D.
Chief Digital Risk Officer (CDRO)
Maximus

James Castle
CEO & CSO
Terranova Aerospace & Defense Group

Pauline Parra
Director, Governance, Risk & Compliance (GRC)
Bullish

Scott Foote
Chief AI Officer (CAIO)
Phenomenati

Candy Alexander
AI Strategist, Speaker, and Evangelist
Alexander Cyber Advisory Services

Krista Arndt
Associate CISO
St. Luke's University Health Network

John Bruggeman
vCISO
CBTS

Robert Boyce
AI + Cyber Leader
Accenture

Joshua Kuntz
vCISO
Vistrada

Meg Anderson
Retired CISO
Retired

Chirag Arora
Chief AI & Security Officer
Dorf Nelson & Zauderer LLP

Ian Schneller
CISO
Health Care Service Corporation

Frank DePaola
VP & CISO
Enpro

Demonstrating Multi‑Layered AI Agent Architectures for SIEM/EDR Alert Triage
Leonid and Richard discuss security talent shortages and event overload, and Leon explains how Torq's success has largely grown from their enablement of hyper automation with no code workflows, human in the loop controls, and extensible integrations.


Analyst Briefing

Platform Demo
- 2 Minute Intro
- 5 Minute Product Tour
- Deep Dive Demo
Autonomous AI Agents for End-to-End SOC Operations
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

Simbian Platform Demo
- 2 Minute Intro
- 5 Minute Product Tour
- Deep Dive Demo
Evaluating SIEM Flexibility in the AI Era: Scalable Detection Engineering Across Hybrid Environments
Alex explains how Anvilogic modernizes detection by replacing legacy SIEMs with a scalable, data-centric, AI-driven solution


Executive Interview

The Role of AI at Anvilogic
Scoring AI‑Driven Alert Investigation Platforms That Mimic Expert Analysts
Dropzone AI is an autonomous AI SOC Analyst that investigates security alerts, mimicking the reasoning process of expert analysts. It triages alerts, correlates data, and provides decision-ready reports—helping SOC teams reduce manual investigation time and improve security response efficiency.


Dropzone Platform Demo
- 2 Minute Intro
- 5 Minute Product Tour
- Deep Dive Demo

The Role of AI at Dropzone
Predictive AI Cybersecurity — Preempting Incidents Before They Happen
Anton Chuvakin and Paul Jespersen discuss PRE Security's predictive approach to cybersecurity and how generative AI is reshaping SOC operations.


Analyst Briefing

PRE Security Demo

Data Collection & Processing

Interactions

Observations & SIM
Comparing Agentic AI Techniques for Correlating Behavioral Baselines & Contextual Intelligence
Alex explains how StrikeReady unifies alerts, personas, and threat intel into one platform, helping SOC teams investigate faster, prioritize better, and validate detection across their entire stack.


Executive Overview

The Role of AI at StrikeReady
Analyzing Attack Behavior to Deliver Precise, Contextual Remediation Filters
Eva Abergel explains how AI democratizes cyber attacks, why that raises risk for governments and enterprises, and how Radware combines adaptive AI defenses, threat research, and human expertise to stay ahead.


Analyst Briefing

AI SOC Xpert: Revolutionizing SOC Operations
Unifying AI SIEM, NDR, and Open XDR in a Single Automation‑Driven SecOps Platform
An executive overview of Stellar Cyber's AI-first journey product vision target customers and growth strategy including the move toward a human augmented autonomous SOC.


Executive Overview

Stellar Cyber Platform Demo
Stellar Cyber
Measuring Agentic AI Capabilities for Fusing Behavioral Baselines with Contextual Threat Data
An in depth conversation about how AI, automation & data quality are redefining the modern SOC featuring insights from Ankar, Co-Founder of Exaforce.


Executive Overview

The Role of AI at StrikeReady
Protecting AI Models and Agents from Adversarial Attacks at Enterprise Scale
Lee Weiner, CEO of TrojAI, explains how adversarial AI risk emerged, why generative AI accelerated the threat, and how enterprises can assess and protect models and agents at scale.


Executive Interview

Detect Deep Dive
- Registering Models
- Attack libraries
- Configuring red team tests
- Autonomous red teaming agent
- Reviewing test results

TrojAI Platform Demo
- 2 Minute Intro
- 5 Minute Product Tour
- Deep Dive Demo

Defend
- Designing Runtime Security Policies
- Prompt Injection Detection
- Firewall Deployment Architecture

Runtime Demonstrations
- Event Explorer
- Benign Request Example
- PII Detection Example
- Prompt Injection Blocking

MCP Protection
- MCP Server Protection
- Registering MCP Servers
- MCP Prompt Injection Detection
Entity-Aware Content Security for the Generative AI Age
Gidi Cohen, CEO and Co-Founder, 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.


Executive Interview

The Role of AI at Bonfy.AI

Bonfy.AI Platform Demo
- 2 Minute Intro
- 5 Minute Product Tour
- Deep Dive Demo

Dashboards
- Entity risk management
- Customizable dashboards
- Drilling down into risks

Capabilities
- Defining business logic
- Out-of-box vs. custom checks
- AI-powered templates
- Scoping and exceptions

Activities
- What an activity is
- Customizing tables and views
- Findings and check explainability
- Automation actions

Connectors
- What connectors are
- Supported integrations
- Data source vs. notification connectors

Knowledge Graph
- Schema and objects
- Source-to-schema mappings
- How attributes feed into policies
Optimizing Telemetry Ingestion for Modern AI SOC Platforms
An executive overview of Seceon's unified security platform covering real time threat detection, AI driven correlation operational efficiency, and value for MSPs and MSSPs.


Executive Interview

Alert Correlation & Confidence Scoring
- AI-driven multi-signal correlation
- Behavior modeling and baselining
- MITRE ATT&CK framework mapping
- Confidence-scored threat prioritization
Agentic AI for Autonomous SOC Triage, Investigation, and Response
Shahar and Richard discuss the formerly unending alert overload, why missed detections create risk, and the specific ways that Radiant uses AI to triage alerts, perform root cause analysis, and automate response.


Executive Overview

Radiant Security Platform Demo
Radiant Security
Testing Claims of Infinite Capacity: 100% Alert Coverage with Two‑Minute Triage Targets
D3's Morpheus ingests events from all sources, strips IOCs instantly and builds a contextual playbook with full stack, time based threat analysis. Our technology analyzes links, generates a full stack risk score and prioritizes based on impact—driven by deep context and intense security intelligence. Your team receives a full incident picture with summaries, timelines, key findings, and precise action steps for fast, effective remediation.


Executive Interview

The Role of AI at D3 Security
Browser-Native AI SOC Analyst That Learns Team Workflows in Real Time
Legion Security's KindFire platform deploys a browser-native AI agent that observes and learns from security teams' existing workflows in real time. By capturing institutional knowledge and converting it into actionable use cases, KindFire emulates human security analysts—automating triage, investigation, and response without requiring teams to change their tools or processes.

AI-Native Self-Driving SOC — Autonomous Detection, Investigation, and Response
SIRP's autonomous SOC platform leverages AI-native architecture to automate the full security operations lifecycle. From threat detection through investigation and response, the self-driving SOC reduces manual analyst workload and accelerates mean time to respond—enabling security teams to scale operations without scaling headcount.

Eliminating False Positive Alerts with Vendor-Agnostic Behavioral Anomaly Detection
Alpha Level's alert management platform continuously consumes and classifies incoming security alerts, automatically filtering out noise using precision AI techniques. Its vendor-agnostic, behavioral anomaly detection approach eliminates false positives at scale—enabling SOC teams to focus on real threats and dramatically reduce alert fatigue.

Autonomous Knowledge Engine for SOC Alert Triage and Investigation
Crogl's autonomous knowledge engine helps SOC teams resolve over 10,000 daily alerts by surfacing evidence-based risks buried in noisy telemetry, freeing hundreds of analyst hours and adapting its reasoning to each organization's unique environment.

Agentic MDR: AI-Powered Managed Detection and Response
Daylight Security's agentic MDR platform combines AI automation with human expertise to deliver 100% environment coverage, under-one-hour onboarding, and 10x faster threat response — eliminating the gap between detection and remediation at enterprise scale.

Mapping Unified Workstream & Data‑Silo Integration for a Human‑AI SOC
This foundationally AI designed platform connects workstreams and data silos into the same view across security platforms and tools and get alerts from multiple sources, prioritized in the same list. No ETL required,no data migration or extraction needed, no delays. AI-driven investigations can be traced back to verified sources and insights so humans can review and replay the analysis.

Unifying Cyber Threat Intelligence and Adversarial Exposure Validation with OpenCTI
Filigran's eXtended Threat Management platform unifies cyber threat intelligence and adversarial exposure validation, helping SOC teams prioritize exploitable risks, validate security controls, and accelerate threat response through their open-source OpenCTI platform and AI-native automation.

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