A Cybersecurity Context

Artificial Intelligence

Artificial Intelligence (AI) is a transformative force in the realm of cybersecurity, playing a pivotal role in augmenting defence mechanisms against evolving cyber threats. AI technologies, such as machine learning and deep learning algorithms, empower cybersecurity systems to analyse vast amounts of data, detect patterns, and identify anomalies indicative of potential security incidents. These systems can enhance threat detection, automate response actions, and adapt to emerging attack vectors in real-time. AI is also instrumental in developing predictive analytics for anticipating and mitigating cyber threats before they manifest.

Snowflake, the AI data cloud, makes enterprise AI easy, efficient, and trusted. Thousands of companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applications, and power their business with AI.

2026 Predictions: The Year Identity Becomes the Ultimate Control Point for an Autonomous World

Introduction The collision between technological acceleration and human adaptability will define the cybersecurity landscape in 2026. Identity and trust will sit at the centre of this struggle — as the proliferation of machine and AI identities exposes the fragility of traditional controls and the limits of human oversight.  As organisations race to deploy autonomous agents and machine-led systems to drive efficiency, they are also inadvertently multiplying their attack surface. In this environment, where a single credential or expired certificate can bring critical operations to a halt, identity becomes not just a security layer, but the ultimate control point.  Below are three predictions shaping the year...

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