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.
As AI development advances, its use in cybersecurity is becoming inevitable, helping to detect and prevent cyber threats. However, bad actors can also leverage AI to develop more sophisticated attack methods, raising concerns about whether the EU AI Act will effectively enhance security or become an obstacle for businesses.
Generative AI (GenAI) offers significant advancements across various industries, but it also brings critical cybersecurity challenges that must be addressed. Expert Sahil Dhir emphasizes the importance of robust governance frameworks to ensure the responsible deployment of AI technologies while safeguarding against potential risks.
Microsoft Security VP Vasu Jakkal emphasized the importance of governance and diversity in the evolving landscape of cybersecurity, particularly with the rise of agentic AI. As organizations adopt more autonomous AI tools, Jakkal stated that cybersecurity professionals must enhance their AI skills to remain relevant and effective.
The Artificial Intelligence Act (AI Act) is the first comprehensive legal framework for regulating AI, requiring high-risk AI systems to maintain a high level of cybersecurity to protect against malicious attacks. Cybersecurity is essential not only for high-risk systems but for all AI systems that interact with users or process data, as it impacts trust, reputation, and compliance.
The UK government has introduced a Code of Practice for the Cyber Security of AI, establishing baseline security standards to address the distinct cybersecurity risks associated with AI. While voluntary, this framework aims to enhance the security of AI systems and foster trust in AI technologies.
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