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Steady Risk Exposure Management: Safeguarding Organizations with AI

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Discover how Continuous Threat Exposure Management leverages AI to automate cybersecurity operations and reduce the risk of breaches.

Artificial intelligence plays a central role in enhancing security management for organizations. It automates time-consuming tasks, aids in timely vulnerability detection, and helps overwhelmed security analysts find potential threats. One such solution that utilizes AI is Continuous Threat Exposure Management (CTEM).

What Is Continuous Threat Exposure Management?

Continuous Threat Exposure Management is an AI-powered program designed to minimize the risk of a company falling victim to a breach. By following five key steps, CTEM ensures effective security management and utilizes various automated tools to validate existing security measures.

The 5 Stages of Continuous Threat Exposure Management

Comprehensive CTEM management involves the following steps:

  1. Mapping of the external attack surface: This stage identifies any vulnerabilities outside the organization’s network. Automated tools search for leaked employee information and test security to uncover existing weaknesses.

  2. Discovering vulnerabilities: CTEM scans the entire system, including applications, networks, and leaked assets, to identify potential vulnerabilities that could lead to security incidents.

  3. Setting security priorities: With a top-down approach, CTEM prioritizes the flaws that pose the highest risk. By generating real-time reports, automated tools assist security professionals in identifying which risks should be addressed first.

  4. Validation of defense software: CTEM tests the organization’s security tools using simulated attacks to ensure they can effectively protect against potential threats.

  5. Improving security: Based on data analysis, CTEM identifies areas for improvement in the organization’s security infrastructure and recommends necessary enhancements.

These steps are continuously repeated to proactively detect and mitigate weaknesses. The earlier vulnerabilities are discovered, the less likely threat actors can exploit leaked data and network vulnerabilities.

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Utilizing AI-Based Tools to Detect Threats Early

Although CTEM is not a standalone software, it leverages the power of automated AI-based technologies, including:

  • Breach and Attack Simulation (BAS): This real-time security software utilizes artificial intelligence to simulate known and new hacking techniques. It continually tests security measures and highlights high-risk vulnerabilities within the ever-evolving system.

  • Automated Red Teaming: By automatically testing security professionals, this training tool assesses their ability to defend against cyberattacks. It helps identify training gaps and ensures proficiency in using available technologies to safeguard the network.

  • External Attack Surface Management: While many security tools focus on guarding the infrastructure internally, this tool scans the web to discover leaked corporate intelligence, emails, or passwords that could compromise the organization. It automatically identifies and analyzes weaknesses, providing IT teams with actionable recommendations.

Continuous Threat Exposure Management & the Key Role of AI in Cybersecurity Today

In summary, Continuous Threat Exposure Management assists organizations in planning and monitoring changes across their attack surfaces. By leveraging AI-driven automated tools, it continuously tests security measures, generates detailed reports, and helps teams make informed decisions to strengthen their defenses and reduce the likelihood of cyberattacks.

In a landscape where attack surfaces constantly evolve due to updates, new hacking techniques, and employee behaviors, AI plays a vital role in identifying and addressing emerging security challenges.

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By incorporating Continuous Threat Exposure Management and utilizing AI-based tools, organizations can proactively protect themselves from potential breaches and stay ahead of cyber threats.

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