Software evaluation for vulnerabilities involves static analysis, penetration testing, and scanning to protect against cyber threats and data breaches. Key areas include Static Application Security Testing (SAST) for code analysis, Software Composition Analysis (SCA) for third-party components, Dynamic Application Security Testing (DAST) for runtime issues, and securing APIs, containers, and AI systems. These techniques ensure comprehensive protection throughout the software development lifecycle, addressing potential risks and maintaining secure applications.

Secure APIs from threats and vulnerabilities that could compromise data or functionality. This includes authentication, authorization, encryption, rate limiting, and input validation to ensure only legitimate users and applications access the API. Key measures include Discovery and Posture Management, Attack Detection and Threat Hunting, Attack Protection, and Contextual API Security Testing to ensure robust security and protection against potential threats.

This approach reduces the attack surface and contains breaches by using granular security controls. Illumio applies adaptive microsegmentation to enforce policies based on application and user behavior, not network topology, enabling dynamic security enforcement. Key features include Segmentation Based on Application Context, Zero Trust Security, Application Dependency Mapping, Real-Time Traffic Control, Policy-Driven Automation, Centralized Policy Management, Adaptive Security, and Distributed Firewalling for enhanced protection.

Data Loss Prevention (DLP) is a security strategy that monitors, detects, and prevents unauthorized access, transfer, or disclosure of sensitive data. It helps organizations safeguard confidential information by enforcing policies on data usage, storage, and transmission. DLP solutions identify potential risks, block suspicious actions, and ensure compliance with data protection regulations, protecting against data breaches, insider threats, and accidental data leaks, thus maintaining data confidentiality and integrity.

Security measures in mobile apps protect against threats like data breaches, unauthorized access, and reverse engineering. Key measures include Threat Detection and Prevention, Code Obfuscation, Anti-Tampering and Root/Jailbreak Detection, Secure Storage, Encryption, and Real-Time Monitoring and Logging to ensure data security, app integrity, and protection from malicious activities.

Secure devices like computers, smartphones, and servers using tools such as antivirus software, firewalls, encryption, and threat detection to prevent malware, unauthorized access, and data breaches. Key measures include Next-Gen Antivirus (NGAV), Endpoint Detection and Response (EDR), Malware and Ransomware Protection, Threat Intelligence, Cloud-Native Protection, Machine Learning, Application Control, Device Management, and Reporting & Analytics for comprehensive device security and threat mitigation.

tools, and technologies used to create, manage, secure, and monitor APIs (Application Programming Interfaces) in a scalable, efficient, and secure manner. It helps organizations handle the lifecycle of APIs—from development to deployment to ongoing maintenance—while ensuring optimal performance, security, and governance.

Vulnerability Management is the process of identifying, assessing, prioritizing, and remediating security vulnerabilities in systems, networks, and software. It involves regular scans, patch management, and risk assessments to minimize potential security threats. By addressing vulnerabilities proactively, organizations reduce the risk of exploitation by attackers, ensure compliance with security standards, and maintain the integrity of their infrastructure, ultimately protecting against data breaches and cyberattacks.