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.
Spoiler alert: We're gonna talk about AI Interview Mick Baccio, global security advisor at Splunk, has watched the evolution of election security threats in real time.…
Or at least it might well be if these trial programs work out, with some civil lib oversight etc etc etc RSAC AI is a double-edged sword in that the government can see ways in which the tech can protect and also be used to attack Americans, says US Homeland Security Secretary Alejandro Mayorkas.…