Activitatea în Portul Constanţa revine la normal, la câteva ore după ce angajaţii au fost evacuaţi din sediul instituţiei, ca urmare a unei alerte cu bombă venite în cursul dimineţii. Un mesaj audio în limba română, transmis telefonic, inf ... (https://incidentdatabase.ai/cite/1744#8101)
Activitate reluată în Portul Constanța, după alerta cu bombă din această dimineață
About this summary. This is a short excerpt from the description that AI Incident Database published with its article. Cyber Security News did not report or verify the underlying story. Read the original: https://www.radioconstanta.ro/2026/07/29/activitate-reluata-in-portul-constanta-dupa-alerta-cu-bomba-din-aceasta-dimineata/
Source attribution: headline and facts are from AI Incident Database (radioconstanta.ro). Summary method: excerpt of the source description. See our source attribution policy.
Related coverage
UK Warns Its Critical Infrastructure Faces Grave Risk
Britain's new Labour-led government is making a concerted push to get ahead of the AI risks to its national networks and the industrial complex.
Palo Alto Networks in talks to buy AI agent security startup Clutch for $500M
Clutch, backed by Lightspeed and SignalFire, was last valued at $85 million, according to a source.
87% say their AI controls need to work better
The AI running inside large companies has stopped waiting for permission. Across five categories of AI, from chatbots to process automation, more than half of 3,600…
99% of repository access tokens never expire
Developers, automated tools and AI coding agents hold permissions that can outlast the work they were granted for. Without access reviews, organizations can leave…
SPILLWAY: Separating Target Admission from Sanitization to Defend Tool-Using Agents against Prompt Injection
arXiv:2611.07222v1 Announce Type: new Abstract: Tool-using agents act on email, files, and payments, so an instruction hidden in a web page or a shared document can make…
Breaking $\mathsf{TraintoDefend}$ via Adaptive Neuron Clustering in Cryptanalytic Model Extraction
arXiv:2611.07370v1 Announce Type: new Abstract: Cryptanalytic model extraction poses a fundamental threat to deep learning model confidentiality by enabling precise…