Tag: #AIsecurity
Last month, I discovered something that stopped me cold during a routine penetration test. A developer had spun up an Ollama server to experiment with local AI models. Nothing unusual about that, except the server was publicly accessible with no authentication. The models it hosted had been trained on internal company data. This scenario plays […]
AI agents are moving fast from experimentation to everyday use. Tools like Moltbot promise automation, local control, and flexibility. But recent security findings show how quickly that promise can turn into risk when guardrails are missing. Researchers have uncovered exposed Moltbot instances, leaked credentials, and a malicious VS Code extension masquerading as an official AI […]
Cybersecurity concerns related to GenAI are no longer emerging risks. They are already shaping enterprise security strategies, national preparedness, and boardroom decisions. As Generative AI (GenAI) moves rapidly from experimentation into everyday operations, organizations are discovering that security frameworks are not evolving at the same pace. The challenge is not adoption. The challenge is control. […]