Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Account takeover prevention for credit unions has reached an inflection point. One concept underpins most modern failures: the timing gap, the period between a member engaging with a scam or impersonation interaction and the moment a security or fraud team becomes aware of risk. During this gap, access is often treated as legitimate even though compromise has already occurred.

The rapid expansion of connected devices has fundamentally changed how organisations operate. From smart sensors and industrial controllers to gateways, cameras, and embedded systems, IoT has become integral to modern business. Digital transformation is accelerating the adoption of IoT technologies, increasing the attack surface and making IoT security a critical component of modern cybersecurity strategies.

Attackers, after an initial compromise, look to remain inside a network for as long as possible. For this, they use different methods. Beaconing is one of the common techniques used to maintain this access. Beaconing activity can easily blend into normal traffic and can remain unnoticed for long periods. Therefore, it is important for IT and security teams to understand how beaconing works in order to effectively carry out beaconing detection and response.

Why security-first platforms, outcome-based services and value-driven pricing will define software delivery in an increasingly complex AI-world.

According to the State of Application Security 2025, web applications faced a sharp rise in hostile traffic, with 4.8 billion attacks blocked and 1.52 billion DDoS incidents affecting nearly 70% of monitored applications. APIs became the primary target, seeing 388% more DDoS attacks per host than websites, signaling a shift toward precision, application-layer disruption.

Globally, schools and universities now face over 4,300 cyberattacks per week on average, marking a 40% year-over-year increase and making the education sector a prime target for disruptive DDoS attacks. Most educational institutions operate with lean IT teams responsible for infrastructure, user support, and security. This resource constraint makes it difficult to withstand prolonged or application-layer DDoS attacks that can quickly disrupt learning platforms and administrative systems.

This growing exposure is reflected in real-world threat data. The Huntress 2025 Cyber Threat Report found that the education sector accounted for 21% of all cyber incidents observed last year, underscoring how frequently schools and universities are targeted. The report also highlights a strong presence of automated and data-driven attacks, with malicious scripts making up 24% of education-focused threats, followed by infostealers (16%), malware (13%), and ransomware (7%).

Most people know the old fairy tale of the boy who cried wolf. Every day, the little shepherd would scream from the top of his hill, “A wolf is chasing the sheep!” While villagers initially responded to the alarm, they soon realized that the boy was lying to them. In the end, when a wolf truly did chase the sheep, no one heeded the boy’s cry.

CVE-2025-14847, nicknamed MongoBleed, is a high-severity (CVSS 7.5–8.7) unauthenticated information disclosure vulnerability in MongoDB Server. It allows remote attackers to leak uninitialized heap memory containing sensitive data—such as credentials, API keys, session tokens, and PII—without authentication. Exploitation occurs pre-authentication via malformed zlib-compressed network packets on port 27017.

Brand abuse in app stores is no longer opportunistic. It has become repeatable, scalable, and persistent. Attackers do not publish one fake app and disappear. They operate in cycles. A fake app is uploaded, value is extracted, a takedown occurs, and a near-identical version reappears under a new developer identity. This loop runs continuously across regions, marketplaces, and distribution channels. For security teams, this changes the mandate.