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.
Microsoft has officially begun killing off Cortana as the company moves its focus towards integrating ChatGPT and AI into Windows 11. [...]
Recent regulations for privacy, AI, and breaches tend to be overly broad, suggesting that the rulemakers lack tech acumen.
Rare government, industry alignment on AI threats means we have an opportunity to make rapid strides to improve cybersecurity and slip the hold cybercriminals have on us.
Cybersecurity researchers have discovered a bypass for a recently fixed actively exploited vulnerability in some versions of Ivanti Endpoint Manager Mobile (EPMM), prompting Ivanti to urge users to update to the latest version of the software
Amid the national discussion about AI safety and non-human-originated content in the US, an app researcher spotted an effort by the social media app to flag AI posts for its 2+ billion users.
Sophos security researchers shared the findings in a report published today
Reported ransomware attacks targeting municipalities, education and healthcare in 2023 has quadrupled compared with 2021
The DarkBART and DarkBERT cybercriminal chatbots, based on Google Bard, represent a major leap ahead for adversarial AI, including Google Lens integration for images and instant access to the whole of the cyber-underground knowledge base.
In the wake of WormGPT, a ChatGPT clone trained on malware-focused data, a new generative artificial intelligence hacking tool called FraudGPT has emerged, and at least another one is under development that is allegedly based on Google's AI experiment, Bard. [...]
It may be some time before generative AI security can autonomously mitigate cyber threats, but we’re already seeing early examples of how AI models can strengthen enterprise cybersecurity in powerful and transformative ways.