AI security research / articles

Analysis

Analysis across cases.

43 Articles · Page 6 of 9

Search & filter

On this page only.

Published articles

From the archive

Analysis

Three AI-security defenses that do not depend on perfect recognition

Prompt filters can miss hostile instructions, agents can misuse legitimate authority, and synthetic media can make identity checks less reliable. Three Habr pieces converge on a stronger defensive pattern: place deterministic policy, least privilege or independent verification between recognition and the next consequential action.

Further reading

Analysis

The 180 ms Ethereum detector starts after the trace exists

DG-VDT reports strong zero-shot results for classifying three Ethereum vulnerability types from EVM execution traces, but the headline latency measures model inference after trace generation, not end-to-end auditing. The strongest result is promising benchmark evidence rather than an independently reproduced production capability.

Analysis

When an agent extension inherits your secrets

Five 2026 records show how workflow nodes, agent skills, MCP servers and memory plugins can become private-data attack paths once they inherit legitimate authority. The evidence does not support blaming free or open-source software as a class: the documented failures include malicious third-party packages, compromised legitimate releases, mutable remote semantics and a separate product authorization bug.