Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

When networks were simpler, IT teams relied on firewalls as their primary defense, believing that securing the network perimeter was sufficient. However, as networks have grown in complexity—both horizontally and vertically-traditional security measures are no longer enough. The rise of remote work, cloud computing, layers of devices and applications, both evolved and primitive, and sophisticated cyberthreats has further emphasized the need for a more adaptive security strategy.

We are thrilled to announce that Cloud Compliance is now available in ARMO platform, providing security and compliance teams with a powerful way to assess and maintain compliance across their AWS environments. With this new capability, ARMO automatically scans your cloud assets against industry-leading frameworks, ensuring that your cloud security posture aligns with best practices and regulatory requirements.

Checking off application security requirements for SOC 2 compliance is often a burden for everyone involved. Security and GRC teams need to manually upload evidence to SOC2 compliance systems like Drata, while development teams suddenly need to use code security scanners that throw wrenches in the SDLC.

No, but it’s fundamentally changing them. Generative AI (GenAI) is quickly becoming an essential part of everyday security workflows. So … is it a partner or competitor? The wide-ranging implementation of GenAI technologies into virtually every aspect of the security stack has, on the whole, helped security teams work more efficiently to mitigate threats.

Cybercrooks are never short of seeking the next greatest opportunity to exploit unsuspecting victims, and it is no coincidence that the increasing interest in the R1 AI chatbot at DeepSeek offered them the best cover. With the emergence of fake DeepSeek websites, fraudulent sites have now been targeting personal information, logins, and even cryptocurrency wallet details from potential victims.

The future cyber threat is not static and appears to exploit vulnerabilities with fresh ransomware gangs and devastate businesses all over the world. One of such infamous gangs, Fog Ransomware, is currently dumping sensitive data of several businesses, recent attacks including GitLab deep. Foresiet security researchers believe that Fogs recently exploited Gitlab Cve perhaps they employed a fresh or unfixed zero-day vulnerability in GitLab.to launch its attacks.

For years, CAPTCHA has been the mainstay of online security, blocking bots from invading websites. Since its introduction in 2007, CAPTCHA has continued to evolve in its fight against advanced automated threats, and Google's reCAPTCHA has been at the forefront. From being highly human-friendly to highly bot-unfriendly, the game has completely changed with the introduction of AI capabilities. Thus, the sensitivity towards CAPTCHA is at high stakes with respect to its survival in the detection of bots.

According to Gartner Research and McMillan (2003), “Threat intelligence is evidence-based knowledge, including context, mechanisms, indicators, implications, and actionable advice, about an existing or emerging hazard to assets that can inform decisions on how to respond.” Threat intelligence involves analysing data to predict and prevent cyber threats, allowing organisations to identify risks early and implement proactive defences.