Governing the use of AI in the enterprise is essential for reducing risks. Because AI depends on data, AI governance must start with data governance — strategies for improving data integrity, preventing data loss, controlling access to AI models, and complying with data localization rules are crucial for protecting your business and maximizing the benefits of AI.
The GDPR has triggered numerous regulatory actions based on the dubious idea that localizing data makes it more private and secure — organizations need ways to meet localization obligations without impacting user experiences
Many IT teams today use more than 20 solutions to secure their organization — leaving gaps in protection while slowing strategic initiatives. Adopting an integrated platform can close security gaps and reduce complexity
The rise of AI-powered, cloud-delivered applications is driving the need to enhance network reliability and security — converging networking and security can help you build more powerful AI models and deploy innovative AI applications everywhere
From cloud and mobile to blockchain and AI, new technologies are reshaping banking — creating unexpected security vulnerabilities. Banks must implement robust, multi-layered security capabilities to reduce cyber risks and avoid data breaches
The API imperative: Safeguarding digital lifelines
APIs are central for how apps and websites work today — and as a result, they have become prime targets for attackers. Implementing strategies that address both current and emerging API threats can help enable more secure innovation
An upsurge in DDoS attacks, the expansion of hybrid work, and a rise in hacktivism related to geopolitical conflicts are forcing organizations to strengthen cloud security. Organizations should recalibrate strategies now to stay ahead
Web applications are rarely built with security in mind. Yet, we use them daily for all sorts of critical functions, making them a rich target for hackers — here are 3 emerging trends requiring urgent attention from CISOs
Securing the future: Cyber security readiness report
This 10-part series for CISOs looking to secure the future and achieve better outcomes for their organization breaks down survey results from over 4,000 cyber security professionals and uncovers new findings on security incidents and preparedness
Organizations need ways to leverage AI without letting data cross geographical borders. Unless they can control where models run and how models are updated, they risk costly regulatory violations
In 20 years, AI will reshape our world considerably. But too many organizations are focused exclusively on what AI can do today — to make the most of AI in the future, organizations need to build a long-term strategy and start modernizing security now
AI shows potential to address complex societal challenges, but agencies must balance innovation with safeguarding citizens' interests as they navigate this emerging landscape and combat shadow AI
Technology leaders are eager to explore AI-assisted development to enhance efficiency and accelerate results — 8 best practices for managing the risks of AI integration
archived 9 Oct 2024 23:37:24 UTC
