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.
Top threats targeting the EU are increasingly motivated by a combination of intentions such as financial gain, disruption, espionage, destruction or ideology
The Israelis are building a cyber defense system that will use ChatGPT-like generative AI platforms to parse threat intelligence.
The ExtraHop survey involved over 1200 global security and IT leaders
A threat actor, presumably from Tunisia, has been linked to a new campaign targeting exposed Jupyter Notebooks in a two-fold attempt to illicitly mine cryptocurrency and breach cloud environments
Once ethics guardrails are breached, generative AI and LLMs could become nearly unlimited in its capacity to enable evil acts, researchers warn.
FIDO Alliance’s third Online Authentication Barometer showed that AI-powered phishing is slowly prompting users to switch passwords for multi-factor authentication methods
Recently, the cybersecurity landscape has been confronted with a daunting new reality – the rise of malicious Generative AI, like FraudGPT and WormGPT. These rogue creations, lurking in the dark corners of the internet, pose a distinctive threat to the world of digital security. In this article, we will look at the nature of Generative AI fraud, analyze the messaging surrounding these creations,
Enterprises need to create a secure structure for tracking, assessing, and monitoring their growing stable of AI business apps.