AI Cybersecurity News: Threats, Defenses & Vulnerabilities 🤖 Cybersecurity AI
AI has changed both sides of security. This page covers offensive use — AI-assisted phishing, automated vulnerability discovery, deepfake fraud — and defensive use, including AI-driven detection, automated patch generation and security copilots. It also covers the attack surface AI systems create themselves: prompt injection, model and supply-chain poisoning, agent credential leakage and jailbreak research. If you run models or agents in production, this is the feed that tells you what can go wrong.
Quick Answers
Cybersecurity AI — Frequently Asked Questions
Prompt injection is an attack where malicious instructions are hidden in content an AI agent reads, causing it to take unintended actions — like leaking data, ignoring safety rules, or executing unauthorised commands.
Yes. AI is being used to automate vulnerability scanning, generate more convincing phishing emails, create deepfake audio and video for fraud, and assist in writing malware. Defenders are also using AI to detect and respond to these threats faster.
Grant minimum required permissions, sandbox the execution environment, log all actions, validate inputs and outputs, set rate limits, and implement human approval for irreversible or high-risk actions.