
AI is ramping up coding velocity — and risk
AI is producing code up to four times faster — but with 10 times more AppSec lapses. Here’s what you need to know.
Security automation uses technology to execute security tasks, workflows, and decision-making processes with minimal human intervention. It applies to everything from detecting threats and remediating vulnerabilities to managing access control and responding to incidents.
Security automation helps organizations scale their defenses, reduce response time, and improve consistency across increasingly complex digital environments.
Cybersecurity threats are evolving faster than human teams can manually respond to them. At the same time, most security teams face limited resources, growing attack surfaces, and an overwhelming volume of alerts. Security automation:
It allows security teams to focus on strategic risk management and threat hunting rather than reactive firefighting.
Term | Focus Area | Key Difference from Security Automation |
|---|---|---|
SOAR | Security orchestration automation response | SOAR is a platform; automation refers to the broader practice. |
SIEM | Data aggregation and alerting | SIEM detects; automation acts. |
Manual Response | Human-driven resolution | Security automation eliminates delay and inconsistency. |
DevSecOps Pipelines | Security in CI/CD workflows | Security automation supports, but is not limited to, DevSecOps. |

AI is producing code up to four times faster — but with 10 times more AppSec lapses. Here’s what you need to know.

AI container workloads are growing — but security is not native. That makes additional controls essential.

RL's analysis of an STD Group-operated RAT yielded file indicators to better detect the malware and two YARA rules.