Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Many people assume that cloud storage is automatically private, but in reality, security levels vary widely between providers. Understanding the differences between cloud security, privacy, and what kind of cloud storage meets your needs is essential if you want to protect personal or business information from unauthorized access, data leaks, or misuse.

Every modern engineering team pushes code multiple times a day. With each deployment, the attack surface shifts and expands in real time as new dependencies and configurations emerge. According to recent industry data, 16% of teams now deploy on demand or multiple times a day. At this pace, securing the attack surface with traditional pentesting is like playing an exhausting game of Whack-a-Mole, while here the targets never stop evolving and multiplying.

Stop managing alerts. Start managing your business. While other platforms wait for your "OK," our KomodoSec AigentX is already halfway through the fix. Security teams today are overwhelmed by alerts, delayed responses, and fragmented tools. An autonomous security platform changes that by acting instantly, detecting and fixing threats without waiting for human input.. Traditional Security Operations Centers (SOCs) often struggle to keep up with the scale and speed of modern threats.

On the evening of June 12, 2026, Anthropic disabled access to two of its newest models, Claude Fable 5 and Claude Mythos 5, for every customer worldwide. The company did not do this because of an outage or a self-discovered flaw. It did it to comply with a US government export-control directive, received at 5:21 PM ET that day, citing national security authorities.

This week bore witness to some interesting events and milestones as Anthropic announced the availability of Claude Fable 5, a descendant of their Mythos Preview model, and Microsoft published their largest Patch Tuesday in history with over 200 vulnerabilities. The two are not unrelated.

API security is the practice of protecting the interfaces that connect your applications, models, and data from unauthorized access, abuse, and data theft. In AI applications, APIs carry prompts, model responses, customer PII, and agent instructions, which makes them the single most exposed layer of your AI stack. Securing them requires authentication, rate limiting, encryption, and a layer most teams miss: protection of the sensitive data in every API call.