Frontline CISO 2025: AI & Cyber Resilience
The Next Frontier: AI, Adversaries, and Enterprise Resilience
Event Location: Metropolitan Club, Chicago
Event Date:
- TBA
Topics To Include:
AI’s Role in Enterprise Risk Management
AI-Driven Defense: From Proactive Threat Hunting to Incident Management
AI-Driven Defense: From Proactive Threat Hunting to Incident Management
Description: Risk management has become increasingly complex in the era of interconnected systems and global supply chains. AI offers powerful tools to assess vulnerabilities, monitor compliance, and prioritize risks across the enterprise. This session will explore how CISOs can use AI to gain holistic insights into organizational risk.
AI-Driven Defense: From Proactive Threat Hunting to Incident Management
AI-Driven Defense: From Proactive Threat Hunting to Incident Management
AI-Driven Defense: From Proactive Threat Hunting to Incident Management
Description: Explore the cutting-edge ways AI is transforming cybersecurity operations, from identifying advanced persistent threats (APTs) in real-time to automating incident response workflows. This session will highlight how autonomous AI tools can reduce response times and detect novel attacks that evade traditional systems.
Behavioral AI for Insider Threat Detection
AI-Driven Defense: From Proactive Threat Hunting to Incident Management
Securing AI Models Against Adversarial Threats
Description: Insiders pose a unique challenge in cybersecurity. Leveraging behavioral analytics powered by AI, organizations can detect anomalous activities, identify potential threats, and take preventive actions before damage occurs. This session will cover the latest advancements in using AI to combat insider risks.
Securing AI Models Against Adversarial Threats
AI Ethics and Cybersecurity: Balancing Innovation with Accountability
Securing AI Models Against Adversarial Threats
Description: As enterprises integrate AI into their workflows, adversaries are targeting these systems with sophisticated attacks, including data poisoning, model inversion, and adversarial inputs. This session will focus on how to fortify machine learning models against such threats and ensure trust in AI-powered applications.
AI Ethics and Cybersecurity: Balancing Innovation with Accountability
AI Ethics and Cybersecurity: Balancing Innovation with Accountability
AI Ethics and Cybersecurity: Balancing Innovation with Accountability
Description: As AI becomes a critical component of cybersecurity, ethical challenges arise around decision-making transparency, bias, and privacy. This session will encourage debate on how CISOs can foster innovation responsibly while ensuring accountability in their AI deployment.
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