Intentional AI in Cybersecurity
Succeeding in a new era of trust, efficacy, and compliance
Key Points
- The rapid evolution of AI-powered cyber threats, such as automated phishing and deepfakes, demands a shift from traditional security measures to a platform-based approach for risk management.
- A hybrid cybersecurity paradigm that integrates intentional AI (proactive, ethical, and accountable AI) is essential to address advanced threats and compliance challenges.
- Mimecast leads the way in responsible AI deployment, exemplified by its ISO 42001 certification, Responsible AI Council, and Trusted AI Development Pledge.
Intentional AI in Cybersecurity serves as a critical resource for cybersecurity professionals navigating the complexities of modern threats and compliance requirements. It highlights the growing sophistication of AI-driven attacks, such as deepfakes and automated phishing, which have outpaced traditional security measures.
A hybrid approach
Read about the need for a hybrid approach that combines artificial intelligence with intentionality, ensuring that AI is purpose-built, ethical, and aligned with regulatory standards. Learn why this approach not only enhances threat detection and mitigation but also addresses blind spots and inefficiencies inherent in single-threaded strategies.
Intentional AI applications
Through the lens of Mimecast’s leadership, this e-book showcases real-world applications of intentional AI, including its groundbreaking ISO 42001 certification and initiatives like the Responsible AI Council. Designed for CISOs, IT directors, and engineers, the resource provides frameworks and best practices for implementing hybrid AI models. By integrating intentional AI into their security strategies, organizations can build resilient systems that meet the dual demands of efficacy and compliance in an era of relentless cyber innovation.