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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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Identity Experts Adam Preis and Troy LeachAs enterprises deploy AI-powered systems, legacy identity frameworks struggle to keep up, leaving gaps in visibility, control and accountability. Adam Preis and Troy Leach joined editors at ISMG to discuss how AI agents and machine identities are redefining identity security.

Bank Info Security 1 year, 1 month ago

Recalibrating Risk in the Age of AI

Gigamon 2025 Survey: 17% Increase in Attacks as Public Cloud Vulnerabilities MountAI is transforming enterprise landscape, organizations report a 17% jump in cyber breaches over the past year. Security teams struggle with visibility gaps while adversaries weaponize AI to strike harder and faster, according to the Gigamon 2025 Hybrid Cloud Security Survey.

Cybersecurity researchers have discovered an indirect prompt injection flaw in GitLab's artificial intelligence (AI) assistant Duo that could have allowed attackers to steal source code and inject untrusted HTML into its responses, which could then be used to direct victims to malicious websites

Deal Aims to Target Identity and AI Risks, SaaS Blind Spots With Unified SecurityBy acquiring Suridata, Fortinet plans to introduce SaaS Security Posture Management to its SASE platform. The update provides end-to-end visibility into SaaS apps, identity threats and AI plugin misuse, making SSPM a vital control plane in cloud-first security strategies.

Bank Info Security 1 year, 1 month ago

What the AI Boom Reveals About Cybersecurity Careers

Cyber Education Needs to Go Beyond the Checklist to Prepare Future ProfessionalsAI is redefining how organizations work, learn and defend themselves. But while the tech is moving fast, training strategies meant to prepare security professionals often lag far behind. That gap is persistent, pervasive and reshaping the very nature of cybersecurity careers.

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