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.
In this Dark Reading News Desk segment, Mike Wyatt and John Ayers of Cyderes discuss how artificial intelligence has already been weaponized against businesses and consumers.
In this Dark Reading News Desk segment, Securonix CEO Nayaki Nayyar and Chris Inglis, Former NSA Deputy Director, discuss how AI will reshape cybersecurity.
Experts welcome efforts to safeguard society from emerging technologies
But it may help with fuzzing Analysis Despite the hype around criminals using ChatGPT and various other large language models to ease the chore of writing malware, it seems this generative AI technology isn't terribly good at helping with that kind of work.…
In this Dark Reading News Desk segment, Cybersixgill's Michael-Angelo Zummo discusses how to empower security with AI.
Cyberattackers are slow to implement AI in their attack chains, according to Mandiant's analysis.
Cyberattackers are slow to implement AI in their attack chains, according to Mandiant's analysis.
Check out our list of emerging firms that are building technology and services to assess the risk posture of AI systems and ML models.
Get ready for the mWISE cybersecurity conference from Mandiant, taking place September 18-20, 2023 in Washington, DC. mWISE just announced new keynote panels focused on Artificial Intelligence (AI) and advanced adversaries. [...]
The AI model trained on typing recorded over a smartphone was able to steal passwords with 95% accuracy.
Feedzai report details the opinions of anti-money laundering pros
The unveiling of the first-ever Open Worldwide Application Security Project (OWASP) risk list for large language model AI chatbots was yet another sign of generative AI’s rush into the mainstream—and a crucial step toward protecting enterprises from AI-related threats.
The unveiling of the first-ever Open Worldwide Application Security Project (OWASP) risk list for large language model AI chatbots was yet another sign of generative AI’s rush into the mainstream—and a crucial step toward protecting enterprises from AI-related threats.
Company's experience highlights the tightrope tech organizations walk when integrating AI into their products and services.
Rethinking learning metrics and fostering critical thinking in the era of generative AI and LLMs