ADR: An Agentic Detection System for Enterprise Agentic AI Security

We present the Agentic AI Detection and Response ADR system, the first large-scale, production-proven enterprise framework for securing AI agents operating through the Model Context Protocol MCP. We identify three persistent challenges in this domain: 1 limited observability -- existing Endpoint...

System-Aware Contextual Digital Twin for ICS Anomaly Diagnosis

Industrial Control Systems ICS integrate computing, physical processes, and communication to operate critical infrastructures such as power grids, water treatment plants, and oil and gas facilities. As ICS become increasingly targeted by cyberattacks, timely and reliable anomaly diagnosis is...

Hierarchical Graph Neural Network for Compressed Speech Steganalysis

Steganalysis methods based on deep learning DL often struggle with computational complexity and challenges in generalizing across different datasets. Incorporating a graph neural network GNN into steganalysis schemes enables the leveraging of relational data for improved detection accuracy and...

Securing WiFi Fingerprint-Based Indoor Localization Systems from Malicious Access Points

WiFi fingerprint-based indoor localization schemes deliver highly accurate location data by matching the received signal strength indicator RSSI with an offline database using machine learning ML or deep learning DL models. However, over time, RSSI values degrade due to the malicious behavior of...

CVE-2025-22305

creationtimestamp| type| source ---|---|--- 2025-01-07 11:17:29+00:00| seen| https://bsky.app/profile/cve-notifications.bsky.social/post/3lf5jlyrynd2a 2025-01-07 13:40:22+00:00| seen| https://infosec.exchange/users/cve/statuses/113787353271242338...

Tackling DGA Based Malware Detection in DNS Traffic

Earlier this year, Akamai's Enterprise team tackled the problem of DGA detection in the wild by using Neural Networks, essentially creating a state-of-the-art solution for near online detection of DGA communication...

IIS the latest high-risk Vulnerability, CVE-2 0 1 5-1 6 3 5, AND MS15-0 3 4. THE POC and online detection of source-vulnerability warning-the black bar safety net

! HTTP. sys remote code execution vulnerability, CVE-2 0 1 5-1 6 3 5, AND MS15-0 3 4. the A remote code execution vulnerability exists in the HTTP Protocol stack HTTP.sys, when the HTTP.sys not correct parsing specially crafted HTTP request to cause this vulnerability. Successful exploitation of...