Navigating the complex and fast-changing world of AI is much more than just adopting the newest trend. It needs a careful, strategic, and value-driven approach that looks at both the huge opportunities and the possible problems. The world of Artificial Intelligence is buzzing.
By embedding principles of cryptographic agility and defence in depth, financial institutions can better address unforeseen threats and safeguard trust in the financial system. The rapid advancement of quantum computing presents a significant challenge to the security foundations of the global financial system.
Although quantum computers capable of breaking current encryption are still in the future with an uncertain timeline, preparing for this eventuality is not just a theoretical exercise. As CISOs, you’re constantly battling on multiple fronts. Understaffing, ever-evolving regulations, and the rapid adoption of AI all demand your immediate attention.
GenAI and LLMs are powerful tools, but they come with new risks that classic security tools can’t handle. Public generative AI applications (GenAI apps) like ChatGPT, Microsoft Copilot, and Google Gemini are now widely used by employees in many organisations.
Google Workspace makes collaboration seamless, but without independent encryption key control, sensitive business data can still be vulnerable. As data privacy regulations evolve, relying on default cloud security can expose organisations to compliance risks and unauthorised access.
The convergence of evolving internet vulnerabilities, sophisticated criminal enterprises, and the transformative power of AI presents an unprecedented challenge to global security. Cybercrime is no longer a fringe concern; it’s a colossal threat that dwarfs traditional organised crime.
PKI is rapidly becoming the digital DNA of everything that connects, communicates, and collaborates. Public Key Infrastructure (PKI) has long been the unsung hero of digital trust, quietly underpinning the security of our online interactions, devices, and user identities.
Learn how to get real results from AI in your business. Many companies want to use artificial intelligence (AI) to improve their work and create real business value. But just adding tools like Microsoft CoPilot is not enough.
The implementation of cryptography and encryption, where appropriate, is a cornerstone of NIS 2 and the information security laws of all EU member states. The Network and Information Security (NIS 2) Directive is a crucial step in bolstering the cybersecurity resilience of essential entities and digital service providers across Europe.
Although Agentic AI offers significant advantages in cybersecurity, it also introduces new, complex risks. Due to its potential for trickery, CISOs must rethink how they monitor and verify the soundness of AI-driven decisions