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2 days from now
Security operations teams face growing pressure from high alert volumes, false positives, and delayed response times that leave threats unaddressed. These challenges create exposure windows where attacks can persist in user environments, increasing organizational risk and operational strain.
A live demonstration shows how automated incident response can reduce response time and improve SOC efficiency through AI-driven workflows and integrated threat intelligence. It covers techniques to minimize manual analysis, reduce false positives, and maintain visibility into automated decisions. The session also highlights methods for rapid threat containment, including automated email remediation and leveraging real incidents to strengthen security awareness and user behavior.
2 days from now
Email remains a primary entry point for cyber threats, with AI-powered phishing and accidental data exposure continuing to bypass traditional defenses. Organizations face growing pressure to protect users, sensitive data, and brand reputation against both inbound attacks and outbound risks.
A live demonstration showcases how cloud-based email security can detect and respond to a wide range of threats, including those missed by standard filters in Microsoft 365 environments. It highlights methods to reduce response times, prevent data exfiltration, and strengthen detection using behavioral AI. The session also explores how customizable response workflows can improve operational efficiency and support stronger compliance and overall security posture.
1 week from now
As artificial intelligence adoption grows, organizations must address increasing regulatory and compliance requirements. This webinar explores how frameworks such as ISO 42001 and regulations like the EU AI Act are shaping the need for structured AI governance. The session focuses on building a comprehensive AI compliance strategy that helps organizations manage risk while enabling responsible AI use.
Attendees will learn the fundamentals of ISO 42001 and how to develop a compliance ecosystem aligned with emerging standards. The discussion also covers practical approaches to navigating regulatory changes and future proofing AI initiatives. The webinar provides actionable guidance for establishing governance, improving oversight, and ensuring AI systems are deployed in a secure and compliant manner.
1 week from now
Many organizations struggle to demonstrate that their policies are up to date, properly controlled, and consistently followed. As regulatory scrutiny increases and AI makes information more accessible, gaps in policy management are becoming more visible and harder to justify.
The discussion focuses on how to bridge the gap between policy management and provable compliance. It highlights common weaknesses that lead to regulatory exposure and explores approaches to strengthen governance, improve accountability, and ensure policies can be validated in practice. Attendees will gain insight into aligning policy frameworks with compliance requirements and reducing risk through more transparent and enforceable processes.
3 days ago
New requirements will soon mandate that data brokers honor DROP deletion requests starting August 1, 2026, introducing important changes for privacy and compliance programs. Organizations handling personal data must prepare for evolving expectations around data broker governance and regulatory enforcement.
This privacy-focused discussion provides insight into the DROP framework and its operational impact. It explores regulatory goals, technical considerations, and what compliance teams should anticipate when implementing deletion request processes. Participants will gain a clearer understanding of expectations from regulators and how to align internal practices with emerging data privacy requirements while strengthening accountability in data handling.
3 days ago
Join our webinar to discover how a security firm deployed an autonomous AI agent against McKinsey’s internal AI platform., and learn about AI-driven attacks, prompt exploitation, and the tools to protect your business from being the next in line.
Learn what security teams need to know about AI-driven attacks, prompt exploitation, and the emerging need for AI pentesting.
3 days ago
Regular patching remains a critical component of cybersecurity, as vulnerabilities are continuously discovered and exploited by attackers. This webinar explores the latest updates from Microsoft’s Patch Tuesday release, focusing on how these updates impact system security and overall risk exposure. The session highlights the importance of timely patch management in reducing vulnerabilities across enterprise environments.
Attendees will gain insight into critical updates, their potential security implications, and best practices for deployment. The discussion also covers how organizations can prioritize patches and manage updates effectively to minimize disruption while maintaining strong security posture. The webinar provides practical guidance on strengthening vulnerability management and reducing exposure to known threats.
4 days ago
As organizations shift from restricting AI to actively integrating it, new risks emerge from autonomous systems operating alongside employees. The rise of agentic AI introduces challenges in oversight, interaction security, and risk management, especially as these systems act without inherent awareness of organizational policies or tolerance for risk.
The content explores how AI agents can be manipulated through prompt engineering, similar to social engineering attacks, and how modern threats bypass traditional controls. It outlines practical steps to secure AI adoption, manage interactions between employees and AI, and reduce exposure to shadow AI. Attendees will also gain insight into governing complex environments where AI systems interact with each other at speeds beyond human supervision.
4 days ago
Organizations are rapidly adopting a range of AI technologies, including sanctioned AI tools, internal language models, SaaS based AI services, and autonomous agents. As these technologies become embedded across enterprise platforms, security teams must address new risks related to governance, identity management, and data protection. This webinar examines the most common AI security concerns organizations are currently facing.
The session explores emerging risks such as the growth of Shadow AI, the rise of agent based systems, and the changing responsibility models between internal AI deployments and external SaaS services. Speakers will also discuss the importance of managing both human and non human identities, along with improving data visibility and classification. Attendees will gain practical guidance for understanding the evolving AI risk landscape and applying manageable steps to strengthen AI governance and security.
4 days ago
Third-party risk management programs often struggle with slow assessments and manual processes that limit scalability. Advances in AI are enabling organizations to significantly reduce turnaround times while maintaining accuracy and improving the overall quality of vendor evaluations.
This presentation highlights how AI-driven capabilities such as automated assessment completion and evidence evaluation can streamline workflows and reduce manual review. It demonstrates how organizations can accelerate vendor responses, improve data consistency, and scale their TPRM programs without increasing resources. Practical insights will show how to reduce assessment backlogs, strengthen control validation, and enhance efficiency across vendor risk processes using next-generation tools.
5 days ago
Organizations adopting AI often struggle to keep governance aligned with rapid innovation and evolving regulatory demands. Managing risks tied to large language models and distributed AI use cases requires more structured and scalable approaches than traditional methods can provide.
The content focuses on how to operationalize AI governance by centralizing AI assets, linking risks to controls and policies, and automating risk assessments. It also explores continuous monitoring of model behavior and integrating AI systems into broader risk and compliance frameworks. Attendees will gain insight into improving visibility, strengthening oversight, and measuring performance while aligning AI initiatives with cybersecurity, privacy, and third-party risk management programs.
1 week ago
AI driven application development is accelerating rapidly, creating new security challenges across code, infrastructure, and runtime environments. This webinar explores how modern AI applications introduce complex, interconnected risks that traditional security tools struggle to detect. The session focuses on addressing visibility gaps and managing risks across models, agents, and cloud systems.
Attendees will learn how to secure AI applications end to end, from development through runtime. The discussion covers building unified visibility across AI components, identifying real attack paths, and detecting threats such as prompt injection and unsafe agent behavior. The webinar provides practical guidance on operationalizing AI security, prioritizing risks, and automating remediation to protect modern AI environments.