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.
An exploratory research proposal is recommending regulation of AI chips and stronger governance measures to keep up with the rapid technical innovations in artificial intelligence.
The accord covers initiatives to create more transparency regarding what tech firms like Meta, Microsoft, Google, TikTok, and OpenAI are doing to combat malicious AI, especially around elections.
Using information from a common technique for finding vulnerabilities, Google's Gemini can currently produce patches for 15% of such bugs. And it's not the only way to help automate bug fixing.
Southeast Asia is learning the hard way that biometric scans are nearly as easy to bypass as other kinds of authentication data, thanks to a creative banking Trojan.
It's not theoretical anymore: the world's major powers are working with large language models to enhance their offensive cyber operations.
But generative AI's ability to strengthen security and fortify defenses can keep bad actors in check.
New data shows higher-than-expected cybersecurity growth in the Middle East, Turkey, and Africa region, thanks to AI and other factors.
The National Association of State Chief Information Officers' top 10 list sheds light on where state and local governments need to direct their cybersecurity efforts. Here's what it means for application security.