AI is no longer just a research tool; it has become integral to products and services, which brings risks such as misuse and errors. To ensure its safe implementation, strong cybersecurity measures, governance, and responsible AI practices are essential for maintaining public trust and accountability.
The rise of “shadow AI” refers to the unsanctioned use of AI tools by employees, which poses significant risks for organizations regarding security and compliance. A recent report indicates that 90% of IT leaders are concerned about these unauthorized practices, leading to potential financial losses and data breaches.
As artificial intelligence (AI) tools rapidly spread across industries, they present new cyber risks alongside their benefits. Brokers are advised to help clients navigate these risks by understanding AI use cases, establishing governance, and reviewing cyber policy language to ensure comprehensive coverage against emerging threats.
Pillar Security has developed an AI security framework called the Secure AI Lifecycle Framework (SAIL), aimed at enhancing the industry’s approach to AI security through strategy and governance. The framework outlines over 70 risks and provides mitigations to support secure AI adoption across various sectors.
The rise of AI agents in enterprise applications is creating new security challenges due to the autonomous nature of their outbound API calls. This “agentic traffic” can lead to unpredictable costs, security vulnerabilities, and a lack of control, highlighting the urgent need for a dedicated infrastructure layer to manage these interactions.
Pillar Security has developed an AI security framework called the Secure AI Lifecycle Framework (SAIL), aimed at enhancing the industry’s approach to AI security through strategy and governance. The framework outlines over 70 risks and provides mitigations to support secure AI adoption across various sectors.
As organizations increasingly adopt AI to drive innovation, they face a dual challenge: while AI enhances cybersecurity measures, it simultaneously facilitates more sophisticated cyberattacks. The lack of accountability and awareness among employees remains a significant vulnerability, highlighting the need for comprehensive training and clear governance structures in the face of evolving threats.
The emergence of artificial intelligence (AI) has fundamentally reshaped the cybersecurity landscape, acting both as a solution and a threat. As AI becomes increasingly embedded in cybersecurity practices, professionals must evolve their skill sets to include AI-driven governance, risk visibility, and compliance oversight.
As artificial intelligence (AI) transforms the global digital landscape, experts urge Nigeria and Africa to adopt a governance-first strategy for AI development to avoid potential dangers. They emphasize that without proper governance, AI could lead to severe repercussions, calling for responsible innovation guided by ethical standards.
In a recent interview, Aaron McCray, Field CISO at CDW, discusses the evolving role of CISOs as they transition from tactical cybersecurity guardians to strategic enterprise risk advisors in the age of AI. He emphasizes the importance of governance frameworks and transparency in deploying AI-driven security tools to address challenges such as false positives and integration with existing systems.