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Latest coverage for Artificial Intelligence

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.

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JumpCloud, a US-based enterprise software firm is notifying several customers of an "ongoing incident." As a caution, the company has invalidated existing admin API keys to protect its customer organizations. Headquartered in Colorado, the cloud-based directory-as-a-service platform serves over 180,000 organizations across the world. [...]

Since its initial release in late 2022, the AI-powered text generation tool known as ChatGPT has been experiencing rapid adoption rates from both organizations and individual users. However, its latest feature, known as Shared Links, comes with the potential risk of unintentional disclosure of confidential information.