Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

A Hardware Security Module (HSM) is a tamper-proof device that has been built to generate, hold, and securely use cryptographic keys. With regard to Code Signing, an HSM guarantees that your private key (s) will remain inside a secure environment, without the ability for anyone else to take or abuse them in any manner. By doing this, the likelihood of your key being stolen, duplicated, or otherwise compromised is significantly reduced.

Nowadays, it’s not uncommon for enterprise IT leaders to find themselves in a situation that seems like a catch-22. On one hand, they’re expected to make data-driven decisions that improve productivity and profitability in a business. On the other, they’re preoccupied with their core responsibilities such as protecting critical systems, maintaining network security, and accelerating investigations when a security event occurs. Traditional tooling won’t keep up with modern systems.

MITRE ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems) is a globally recognized AI security framework that catalogs adversarial techniques targeting artificial intelligence systems. Similar in structure to MITRE ATT&CK but purpose-built for AI, machine learning, and agentic systems, ATLAS translates abstract AI risks into concrete, actionable attack techniques that security teams can monitor and mitigate.

API security is becoming more important by the day and skilled practitioners are in high demand. Now’s the time to level up your API security skillset. Wallarm University, our free training course, provides security analysts, engineers, and practitioners with hands-on skills you can’t get from documentation, videos, or traditional courses. Run real attacks, investigate real signals, and learn exactly how to defend API environments when it counts. Here are the 7 reasons you should register.

Lack of data has rarely been a challenge that cybersecurity leaders in the enterprise setting have faced. In fact, cyber risk data is usually in abundance. The obstacle, thus, is instead twofold. Teams must first make sense of all of that information, and leadership must then be able to communicate what it means in a language that supports high-level decision-making. That gap between information and deeper understanding is where many cyber risk programs flounder.

Organizations across industries are adopting AI at a rapid pace. From utilizing this newer technology to process data and conduct business-critical tasks to individual employees experimenting with Gen-AI to enhance their workflows, artificial intelligence now touches multiple points of an organization's operations.

In January 2026, a critical security vulnerability was disclosed in jsPDF, a popular JavaScript library used to generate PDF documents. The issue, tracked as CVE-2025-68428, affects server-side Node.js deployments of jsPDF prior to version 4.0.0 and has been assigned a CVSS score of 9.2. The vulnerability is a path traversal issue that can be abused to read arbitrary files from the local filesystem.

2026, the perfect time to reflect on how far technology has come and what lies ahead. Without a doubt, Artificial intelligence has gone from a niche to an omnipresent force, reshaping how we work, build, and defend. While organisations have speed-ran the adoption of AI and machine learning, cybercriminals have been just as fast to exploit them, and AI now powers business decisions, customer interactions, and – predictably – cyberattacks.