Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Most SOC teams don’t struggle with what they need to automate — they struggle with where to start. Between complex playbooks, brittle integrations, and the fear of breaking something in production, security orchestration, automation, and response (SOAR) often feels harder to adopt than it should be.

Adversaries are continuously evolving their tactics, techniques, and procedures to evade both legacy and AI-native defenses, and they’re using AI to their advantage. Stopping them requires a new approach: humans and AI working together. While AI can correlate massive volumes of telemetry at machine speed, pattern recognition alone is not enough to stop modern attacks. Training on detections teaches models what happened, but not why it mattered.

External attack surfaces are expanding faster than most organizations can track. Internet-facing cloud services, network devices, commercial AI tools, and third-party infrastructure are driving the growth of unintended exposure outside security teams’ control.

Web shells remain one of the most potent weapons in an adversary’s arsenal, particularly when targeting Linux servers and containers. These malicious scripts serve as powerful remote access tools with capabilities such as process execution, filesystem access, and tunneling of network connections.