Please download one of these browsers:
Keep your browser version up-to-date for a fast, secure, web experience.
Artificial Intelligence (AI)
Securing AI systems, detecting threats, and mitigating AI-driven risks.
Identifying and mitigating AI-generated media threats and misinformation.
Nim Nadarajah and Sandra Pesic examine AI-driven cyberthreats, resilience strategies, automation benefits and post-quantum security preparations for modern organizations.
Sateesh Kumar Challa examines how synthetic identity fraud leverages cutting-edge AI to bypass traditional detection systems.
Taka Ariga and Brennan Lodge discuss how Retrieval Augmented Generation transforms threat detection and compliance operations by grounding AI responses in trusted organizational data rather than public sources.
Jennifer Huang and Chris Rankin share insights on balancing developer productivity with security in fintech environments, addressing AI-driven shadow IT and shifting security from gatekeeper to enabler role.
Ramit Sharma and Madina Rashid explore how cybercriminals exploit AI capabilities through autonomous bots and deepfakes, while examining implementation challenges and ethical considerations for defense.
Patrick Van Eecke discusses assessing whether AI systems fall within the EU AI Act's scope and risk categories, what cybersecurity requirements mean for security professionals, and the AI practices that are prohibited.
Tony Fergusson of Zscaler examines why zero trust must evolve to verify data authenticity in deepfake era and how adversaries exploit trusted platforms and use prompt injection to evade AI detection.
Chip Witt of Radware shares insights from Radware's Cyber Threat Intelligence data on emerging threats, defending against AI-powered account takeover, and preparing for agentic AI vulnerabilities.
Margaux Tawil of Abnormal AI demonstrates how defensive AI combats generative AI threats by analyzing identity, behavior and content patterns across thousands of signals.
Claudio Sangaletti of Medmix discusses challenges of integrating AI into legacy systems and best practices to mitigate AI-related vulnerabilities in OT environments, applying expertise from leading global ICS cybersecurity initiatives.
Anton Chuvakin examines how secure AI evolved from 2022's experimental chaos to 2025's production reality, covering the four-layer security framework, practical use cases and emerging governance challenges around agentic AI and resilience.
Moriah Hara and Hardik Mehta explore practical AI implementation in financial services, cutting through industry hype to reveal real-world applications, risk management strategies and governance frameworks that protect institutions.
Sanjit Ganguli examines how zero trust architecture must evolve to address AI-driven threats in financial services, sharing strategies for network transformation and emerging security paradigms in the age of artificial intelligence.
Andrew Becherer analyzes how generative AI is enabling attackers to conduct sophisticated spear-phishing campaigns at unprecedented scale, and shares defense strategies to protect financial institutions from AI-powered threats.
Michael Monte demonstrates how AI agents can modernize security operations beyond basic automation, strengthening detection capabilities and bridging the gap between traditional security operations and modern data analytics.
Trend Micro's senior threat researcher Nitesh Surana reveals critical vulnerabilities in Azure Machine Learning services, demonstrating how attackers can compromise ML workspaces.
Hitesh Pathak explores how AI has transformed cybersecurity landscapes, sharing strategies for implementing cloud-native security frameworks and threat intelligence.
Industry leaders Matanda Doss, Susan Koski, William Beer and Paul Leonhirth discuss cloud adoption challenges, API security and AI-powered fraud detection in financial services cybersecurity.
Sankarasubramaniam Chockalingam, Prasanna Ramakrishnan and Randy Billingsley explore platform standardization strategies, data quality challenges undermining AI effectiveness and multi-pillar security models protecting automated lines.
Siddharth Iyer from Radware examines current DDoS attack trends and proactive protection strategies for financial institutions.
David Cifuentes of Devo Technology demonstrates how AI can eliminate 95% of security alerts and enable real-time threat detection in financial SOCs.
Join Khalid Nizami as he explores aligning digital technologies with business goals, adopting AI-driven innovations like generative AI, and addressing challenges in talent, skills, and governance to drive business transformation and growth.
Detective Daniel Alessandrino explores fraud evolution, from check schemes to AI deepfakes. He will discuss why social engineering remains constant and critical protocols for working with law enforcement during incidents.
Amit Basu discusses how AI enables deepfakes and hyper-personalized attacks that collapse traditional verification. He will explore practical strategies to strengthen authentication and preserve trust in AI-driven threats.
Tim Brophy of Elastic demonstrates how to embed AI into analyst workflows through automated attack discovery, leverage Model Context Protocol for security capabilities, and build unified data meshes for real-time threat hunting.
Siegfried Moyo of Americold Logistics discusses building AI-specific committees with specialized knowledge, mapping existing NIST or ISO controls to AI regulations, and implementing security tools to restrict AI access to critical data.
Nitin Devanand of ManageEngine explores AI's evolution from reactive monitoring to predictive threat mitigation, examining cybersecurity implications of AI weaponization and building organizational readiness through strategic frameworks.
Chip Witt of Radware examines how AI eliminates expertise barriers for threat actors, exploring API-targeted credential stuffing, automated MFA bypass through OTP bots, and prompt injection risks enabling data exfiltration.
Colonel Georgeo X. Pulikkathara covers using AI for both defense and offensive security, strengthening cybersecurity frameworks and data governance, and identifying vulnerabilities with emerging AI integration across industries.
Cameron Molfetto of Darktrace explores ransomware-as-a-service groups deploying nation-state AI tactics, examining anomaly detection through behavior baselines and autonomous containment during overnight attacks.
Gaurav Malik explores how AI models analyze vulnerability data to predict exploitable exposures, demonstrating tools like Qualys TruRisk and Copilot that accelerate AppSec and SOC operations for predictive defense.
Zechariah Akinpelu shares insights on User Entity Behavior Analytics applying ML to identify anomalies, SOAR platforms leveraging AI to automate log correlation and containment, and generative AI enabling red team simulations at scale.
Jennie Davidowitz discusses why centralized detection fails against AI-powered personalized attacks, exploring granular controls protecting VIPs from gift card scams and AI agents creating instant detection rules for emerging threats.
Sebastien Barthelemy and Sébastien Mayer examine AI's dual impact on industrial operations - enabling efficiency gains while accelerating attacker capabilities.
Anya Avinash, Marlon Sorongon and Ray Lay examine AI-driven security strategies, risk frameworks, and innovation-resilience balance in banking and financial services.
Milton Guerrero explores technical adaptations required to defend against AI-powered attacks targeting converged IT/OT environments, emerging AI-based threat vectors, and strategic frameworks for building regional resilience.
Renata Valente de Araujo explores communicating ROI and risk mitigation when building business cases for AI-powered cybersecurity, practical approaches for integrating AI with outdated OT assets, and real-world lessons learned.
Anandh Palanisamy of ManageEngine explains why traditional SIEM tools are failing SOC teams and how modern, platform-based SIEM approaches can reduce noise, improve investigation and enable faster, more effective response.
Vijay Sagar of Securiti outlines how privacy by design can be operationalized through automation and governance, helping organizations manage data risk, meet regulatory demands and scale responsibly.
John Loya explores how rapid AI adoption and shadow AI increase data risk, why sensitive corporate data is flowing into unsanctioned tools, and how visibility, risk scoring, and enforcement help organizations secure data without stifling innovation.
Previous 1 2 3 4
