Remove Artificial Inteligence Remove Machine Learning Remove Security
article thumbnail

Dulling the impact of AI-fueled cyber threats with AI

CIO

But when it comes to cybersecurity, AI has become a double-edged sword. While poised to fortify the security posture of organizations, it has also changed the nature of cyberattacks. Take for instance large language models (LLMs) for GenAI. Data privacy in the age of AI is yet another cybersecurity concern.

article thumbnail

Leveraging AMPs for machine learning

CIO

As a result, many companies are now more exposed to security vulnerabilities, legal risks, and potential downstream costs. Data scientists and AI engineers have so many variables to consider across the machine learning (ML) lifecycle to prevent models from degrading over time.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Saudi Arabia’s cybersecurity strategy: Building a resilient digital future

CIO

As Saudi Arabia accelerates its digital transformation, cybersecurity has become a cornerstone of its national strategy. With the rise of digital technologies, from smart cities to advanced cloud infrastructure, the Kingdom recognizes that protecting its digital landscape is paramount to safeguarding its economic future and national security.

Strategy 158
article thumbnail

Singapore unveils AI system guidelines, emphasizing secure-by-design

CIO

Singapore has rolled out new cybersecurity measures to safeguard AI systems against traditional threats like supply chain attacks and emerging risks such as adversarial machine learning, including data poisoning and evasion attacks.

article thumbnail

Build Trustworthy AI With MLOps

In our eBook, Building Trustworthy AI with MLOps, we look at how machine learning operations (MLOps) helps companies deliver machine learning applications in production at scale. AI operations, including compliance, security, and governance. AI ethics, including privacy, bias and fairness, and explainability.

article thumbnail

Have we reached the end of ‘too expensive’ for enterprise software?

CIO

Generative artificial intelligence ( genAI ) and in particular large language models ( LLMs ) are changing the way companies develop and deliver software. These autoregressive models can ultimately process anything that can be easily broken down into tokens: image, video, sound and even proteins.

article thumbnail

Accelerating AI at scale without sacrificing security

CIO

For others, it may simply be a matter of integrating AI into internal operations to improve decision-making and bolster security with stronger fraud detection. With the rise of AI and data-driven decision-making, new regulations like the EU Artificial Intelligence Act and potential federal AI legislation in the U.S.

article thumbnail

MLOps 101: The Foundation for Your AI Strategy

Many organizations are dipping their toes into machine learning and artificial intelligence (AI). Download this comprehensive guide to learn: What is MLOps? How can MLOps tools deliver trusted, scalable, and secure infrastructure for machine learning projects?

article thumbnail

ERP Migration: Why Data Quality Comes First

Automation and machine learning are augmenting human intelligence, tasks, jobs, and changing the systems that organizations need in order not just to compete, but to function effectively and securely in the modern world.