machine learning

Researcher Niels Provos’ prototype IronCurtain architecture: a system designed to restrict the actions of AI agents through isolation and security policies.

What corporate security teams should do about the “viral” AI agent.

The top-10 risks of deploying autonomous AI agents, and our mitigation recommendations.

We explain what data DeepSeek collects, who it shares it with, how to configure the chatbot for maximum privacy, and how to install a local version.

A close look at attacks on LLMs: from ChatGPT and Claude to Copilot and other AI-assistants that power popular apps.

Most employees are already using personal LLM subscriptions for work tasks. How do you balance staying competitive with preventing data leaks?

Popular AI code assistants try to call non-existent libraries. But what happens if attackers actually create them?

Researchers have found a way to exploit a security mechanism in a popular machine-learning framework.

Kaspersky specialists, in collaboration with external experts, have formulated some key guidelines for safe and legal use of AI.

Fraudsters are using AI-generated digital clones to bypass Know Your Customer (KYC) procedures and open money laundering accounts.

Researchers have learned to recognize the positions and poses of people indoors using Wi-Fi signals. To do this, they used ordinary home routers and machine learning.

How hackers exploit chatbot features to restore encrypted chats from OpenAI ChatGPT, Microsoft Copilot, and most other AI chatbots.

Getting all the benefits of ChatGPT, Copilot, and Midjourney locally — without leaking your data to the internet.

AI tools can be seen everywhere — from operating systems and office suites to image editors and chats. How do you use ChatGPT, Gemini, and the many add-ons to these without jeopardizing your digital security?

We propose six principles of ethical use of AI in the cybersecurity industry — to be presented at the global Internet Governance Forum.

Audio deepfakes that can mimic anyone’s voice are already being used for multi-million dollar scams. How are deepfakes made and can you protect yourself from falling victim?

It’s obvious already that AI needs regulating, but how? Here’s Eugene Kaspersky telling us how he sees it.

A new generation of chatbots creates coherent, meaningful texts. This can help out both cybercriminals and cyberdefenders.

We’ve been using machine learning in Kaspersky Internet Security for Android for years now. Here’s why — and what we’ve achieved.

How ontologies can provide the world with greater, faster protection from cyberthreats and more.

Our method for training models to filter out spam lets you maintain privacy without losing efficiency.