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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Background for this topic.
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.
AI technology raises the bar in an already troubling crime Miscreants are using AI to create faked images of a sexual nature, then using them in sextortion schemes.…
AI is beefing up the cyber arsenals of both attackers and defenders Sponsored Feature Email is a popular target for cybercriminals, offering an easy way of launching an attack disguised as an innocent message. One moment of inattention on the part of the recipient and the door is open to malware, spam, phishing, perhaps even a dose of the dreaded ransomware. Entire organisations can suffer, not just individual victims.…