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Latest coverage for Artificial Intelligence

Explore the intersection of AI and cybersecurity. Stay informed on AI-driven security trends, tools, and threats in the ever-evolving digital landscape.

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Artificial intelligence (AI) describes computer systems that perform tasks such as recognizing patterns, making predictions, understanding language, or generating content. In security reporting, the term commonly includes machine-learning models used for detection and analysis, as well as generative AI applications that produce text, code, images, or other outputs.

AI can help analyze security telemetry, prioritize vulnerabilities, and support investigations, but its outputs can be wrong or manipulated. Important attack surfaces include prompt injection that steers an application into unintended actions, sensitive data being exposed through prompts or model outputs, and excessive permissions granted to AI systems that use external tools. Models can also be degraded by poisoned training data or evaded with carefully crafted inputs. Practitioners should protect training and operational data, limit model access and tool permissions, test for adversarial behavior, and require appropriate human validation before high-impact decisions.

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Bad Epoll (CVE-2026-46242) lets local attackers gain root on Linux and Android. The flaw was missed by AI but found by a security researcher. A newly disclosed Linux kernel vulnerability, named Bad Epoll (CVE-2026-46242), allows a local attacker with no special privileges to gain full root access on affected Linux systems and Android devices. Security updates are […]

Trend Micro Research, News and Perspectives 3 weeks, 4 days ago

From Langflow to Monero: Inside CVE-2026-33017 Cryptominer

We tracked a cryptocurrency-mining campaign exploiting CVE-2026-33017, which revealed how threat actors are now scanning exposed AI application infrastructure for their next foothold.

A high-severity security flaw in Langflow, an open-source low-code platform to build artificial intelligence (AI) applications, has come under active exploitation in the wild, according to findings from VulnCheck

The Cybersecurity and Infrastructure Security Agency (CISA) is warning that hackers are actively exploiting a critical vulnerability identified as CVE-2026-33017, which affects the Langflow framework for building AI agents. [...]

Trend Micro Research, News and Perspectives 1 year, 2 months ago

NVIDIA Riva Vulnerabilities Leave AI-Powered Speech and Translation Services at Risk

Trend Research uncovered misconfigurations in NVIDIA Riva deployments, with two vulnerabilities, CVE-2025-23242 and CVE-2025-23243, contributing to their exposure. These security flaws could lead to unauthorized access, resource abuse, and potential misuse or theft of AI-powered inference services, including speech recognition and text-to-speech processing.

Trend Micro Research, News and Perspectives 1 year, 3 months ago

Incomplete NVIDIA Patch to CVE-2024-0132 Exposes AI Infrastructure and Data to Critical Risks

A previously disclosed vulnerability in NVIDIA Container Toolkit has an incomplete patch, which, if exploited, could put a wide range of AI infrastructure and sensitive data at risk.

A high-severity security flaw has been disclosed in Meta's Llama large language model (LLM) framework that, if successfully exploited, could allow an attacker to execute arbitrary code on the llama-stack inference server.  The vulnerability, tracked as CVE-2024-50050, has been assigned a CVSS score of 6.3 out of 10.0. Supply chain security firm Snyk, on the other hand, has assigned it a

Fortinet publicly disclosed today a critical FortiManager API vulnerability, tracked as CVE-2024-47575, that was exploited in zero-day attacks to steal sensitive files containing configurations, IP addresses, and credentials for managed devices. [...]