Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Understanding the OWASP AI Maturity Assessment

Today, almost all organizations use AI in some way. But while it creates invaluable opportunities for innovation and efficiency, it also carries serious risks. Mitigating these risks and ensuring responsible AI adoption relies on mature AI models, guided by governance frameworks. The OWASP AI Maturity Assessment Model (AIMA) is one of the most practical. In this article, we’ll explore what it is, how it compares to other frameworks, and how organizations can use it to assess their AI maturity.

Top 5 Cybersecurity Risks in ERP Systems and How to Prevent Them

Modern businesses are built on Enterprise Resource Planning (ERP) systems. From finance to supply chain, they run everything in one place. Many of them can even connect to cloud systems, mobile apps, and IoT devices. But where they are most powerful, they are also most vulnerable. Cybercriminals know that ERP systems are treasure troves of data. So if an attack happens, it can lead to significant data theft. Not only that, it can also delay payroll, damage production lines, and stop operations.

CVE-2025-20333: Authenticated RCE in Cisco ASA / FTD VPN Web Server

A high-severity vulnerability (CVSS 9.9) has been disclosed in the VPN web server component of Cisco Secure Firewall ASA and FTD software. An authenticated attacker (i.e. one possessing valid VPN credentials) can send specially crafted HTTP(S) requests that bypass input validation and lead to remote code execution as root. This means full device compromise is possible.

REDCap: Multiple Cross-Site Scripting (XSS) Vulnerabilities

REDCap, developed by Vanderbilt University, is a secure platform designed for data collection in research studies and operations. REDCap is popular within scientific institutions and universities that require strict compliance with government regulations and data privacy laws when conducting data collection for research purposes. It is particularly useful for managing studies that often contain sensitive or private information.

Smash and Grab: Aggressive Akira Campaign Targets SonicWall VPNs, Deploys Ransomware in an Hour or Less

In late July 2025, Arctic Wolf Labs began observing a surge of intrusions involving suspicious SonicWall SSL VPN activity. Malicious logins were followed within minutes by port scanning, Impacket SMB activity, and rapid deployment of Akira ransomware. Victims spanned across multiple sectors and organization sizes, suggesting opportunistic mass exploitation. This campaign has recently escalated, with new infrastructure linked to it observed as late as September 20, 2025.

Cisco Patches ASA, FTD, and IOS Vulnerabilities, Including Critical and Exploited Flaws

On September 25, 2025, Cisco released fixes for two vulnerabilities in Adaptive Security Appliance (ASA) and Firewall Threat Defense (FTD) that are currently being actively exploited by a sophisticated threat actor. The US Cybersecurity and Infrastructure Security Agency (CISA) issued Emergency Directive 25-03 requiring Federal Civilian Executive Branch (FCEB) agencies to patch these vulnerabilities by 12 PM EDT on September 26.

Carding ecosystem: The fall of traditional financial cybercrime

Carding is a type of cybercrime where attackers steal or illegally buy credit card information and use it to make unauthorized transactions. It often involves testing stolen card numbers with small purchases before making larger fraudulent charges. Criminals typically exchange or sell these stolen details on underground forums or dark web marketplaces. Outpost24’s Threat Intelligence team, KrakenLabs, carried out a previous public analysis of the underground card fraud ecosystem in 2022.

Malicious MCP Server on npm postmark-mcp Harvests Emails

On September 25, 2025, the npm package postmark-mcp, an MCP (Model Context Protocol) server intended to let AI assistants send emails via Postmark, was reportedly modified to secretly exfiltrate email contents by adding a blind-copy (BCC) to an external domain. Current analysis suggests the behavior began around 1.0.16 and persisted in later versions.