AI and Cybersecurity: Balancing Innovation, Ethics, and Risk
- Understand the critical importance of AI governance in cybersecurity.
- Learn how to navigate complex regulatory landscapes, including the EU AI Act and NIST AI Risk Management Framework.
- Discover strategies to mitigate risks such as ethical violations, security gaps, and reputational damage.
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AI and Cybersecurity: Balancing Innovation, Ethics, and Risk
Artificial intelligence (AI) is reshaping cybersecurity, providing transformative opportunities but also introducing significant challenges. As AI becomes central to security strategies, effective governance is not merely a safeguard—it’s a strategic necessity.
Without proper oversight, AI can expose organizations to ethical dilemmas, regulatory violations, and security vulnerabilities. For CISOs, the challenge lies in harnessing AI’s potential while managing its evolving risks. This demands a proactive approach to governance that aligns innovation with compliance and ethical responsibility.
Why AI Governance is Critical
- Navigating Regulatory Complexity:
- With global regulations like the EU AI Act, NIST AI Risk Management Framework, and evolving privacy laws (e.g., GDPR, CCPA), compliance has never been more challenging.
- Poorly managed AI systems can breach data privacy laws or fail regulatory audits, leading to fines, legal scrutiny, and operational disruptions.
- Mitigating Risk: Effective governance safeguards against:
- Ethical Violations: Ensures AI systems are fair, transparent, and bias-free.
- Security Gaps: Prevents AI from becoming an attack surface for cyber threats.
- Reputational Damage: Protects against public backlash and loss of stakeholder trust.
Call to Action:
Leaders who fail to implement robust AI oversight risk breaches, compliance violations, and reputational harm. Now is the time to take action:
- Stay Ahead of Regulations: Proactively monitor global AI and cybersecurity regulatory trends.
- Prioritize Ethical AI: Build governance that fosters trust while protecting innovation.
- Invest in Resilience: Ensure your AI strategy is built on a foundation of transparency, accountability, and adaptability.
Event Speakers
Sandy Dunn is a regular speaker on AI Security, Cyber Risk Quantification, and Cybersecurity as well as providing cybersecurity consulting services through QuarkIQ LLC, a CISO advisor to numerous startups, and an Adjunct Professor for BSU’s Cybersecurity Program. She is a core team member of OWASP Top 10 for LLM and OWASP AI Privacy & Security. She has over 20 years of Cybersecurity knowledge from an array of cybersecurity roles including CISO (healthcare and startup), IT Security Architect, Security Engineer, Information Security Officer, Senior Security Strategist, and Competitive Intelligence.
Kyriakos “Rock” Lambros is a cybersecurity and AI innovator, merging AI governance to protect diverse industries. As RockCyber’s CEO, he advances security strategies for major organizations, minimizing risk and optimizing operations. Rock, an MBA graduate and author, shapes critical cybersecurity initiatives through leadership and industry affiliations.
Dr. Dustin Sachs is the Chief Technologist and Sr. Director of Programs at CyberRisk Collaborative. He is a highly accomplished cybersecurity professional with a proven track record in risk management, compliance, incident response, and threat mitigation. He is CISSP-certified and holds a Doctor of Computer Science (DCS) degree in Cybersecurity and Information Assurance. Dr. Sachs has worked in various industries, including public utilities, food distribution, and oil and gas. He is a respected thought leader in the cybersecurity community.