Did you know? Gartner recognizes cloud investigation and response automation (CIRA) as an indispensable technology in the cybersecurity landscape. Gartner views CIRA as a strategic investment for organizations looking to fortify their security posture in the cloud. Simply put, the shift to cloud computing brings unprecedented opportunities but also introduces new risks.
A category of security tools that monitor environments for signs of suspicious activity and provide remediation capabilities to contain and eradicate threats. Examples of TDR technology include endpoint detection and response (EDR) and cloud detection and response (CDR).
Detection, investigation, containment, and eradication
Security information and event management (SIEM)
An aggregation platform that enriches logs, alert, and event data from disparate sources with contextual information, thereby enhancing visibility and understanding for better incident detection and analysis.
Detection and investigation
Security orchestration, automation and response (SOAR)
A security orchestration platform that integrates different security tools, providing streamlined security management through a unified interface. Allows you to create playbooks to perform predefined automated responses.
Detection, investigation, containment, and eradication
Intrusion detection and prevention system (IDPS)
A traditional defense system that detects and blocks network-level threats before they reach endpoints.
Detection and investigation
Threat intelligence platform (TIP)
An emerging technology that collects and rationalizes external information about known malware and other threats. TIP helps security teams quickly identify the signs of an incident and prioritize their efforts through insights into the latest attack methods adversaries are using.
Detection, investigation, containment, and eradication
Risk-based vulnerability management (RBVM)
A security solution that scans your IT environment for known vulnerabilities and helps you prioritize remediation activity based on the risk such vulnerabilities pose to your organization.
A data risk assessment is a full evaluation of the risks that an organization’s data poses. The process involves identifying, classifying, and triaging threats, vulnerabilities, and risks associated with all your data.
In this guide, we’ll break down why AI governance has become so crucial for organizations, highlight the key principles and regulations shaping this space, and provide actionable steps for building your own governance framework.
This article outlines guidelines and best practices for weaving security into every part of your development and DevOps workflows, focusing on practical techniques that are easy to adopt.
In this post, we’ll bring you up to speed on why the EU put this law in place, what it involves, and what you need to know as an AI developer or vendor, including best practices to simplify compliance.
Application security refers to the practice of identifying, mitigating, and protecting applications from vulnerabilities and threats throughout their lifecycle, including design, development, deployment, and maintenance.