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  2. Breach and attack simulation - Wikipedia

    en.wikipedia.org/wiki/Breach_and_attack_simulation

    Breach and attack simulation (BAS) refers to technologies that allow organizations to test their security defenses against simulated cyberattacks. BAS solutions provide automated assessments that help identify weaknesses or gaps in an organization's security posture.

  3. Threat model - Wikipedia

    en.wikipedia.org/wiki/Threat_model

    The Process for Attack Simulation and Threat Analysis (PASTA) is a seven-step, risk-centric methodology. [12] It provides a seven-step process for aligning business objectives and technical requirements, taking into account compliance issues and business analysis.

  4. Smart onboard data interface module - Wikipedia

    en.wikipedia.org/wiki/Smart_Onboard_Data...

    TESS was an advanced weapons training system developed for the AH-64 Apache to support force-on-force and force-on-target live training at U.S. Army Combat Training Centers (CTCs), Aviation Home Stations, and deployed locations. [2] TESS integrates with aircraft and ground vehicles to provide collective opposing force participation in live ...

  5. Penetration test - Wikipedia

    en.wikipedia.org/wiki/Penetration_test

    A penetration test can help identify a system's vulnerabilities to attack and estimate how vulnerable it is. [7] [5] Security issues that the penetration test uncovers should be reported to the system owner. [8] Penetration test reports may also assess potential impacts to the organization and suggest countermeasures to reduce the risk. [8]

  6. Managed detection and response - Wikipedia

    en.wikipedia.org/wiki/Managed_detection_and_response

    MDR aims to address the growing cybersecurity skills gap faced by many organizations and overwhelmed security teams dealing with increasing volumes of alerts. It offers continuous threat monitoring, detection, investigation, and response by leveraging technologies like endpoint detection and response tools.

  7. Adversarial machine learning - Wikipedia

    en.wikipedia.org/wiki/Adversarial_machine_learning

    Adversarial machine learning is the study of the attacks on machine learning algorithms, and of the defenses against such attacks. [1] A survey from May 2020 exposes the fact that practitioners report a dire need for better protecting machine learning systems in industrial applications.

  8. TIME’s Top 10 Photos of 2024 - AOL

    www.aol.com/time-top-10-photos-2024-132326201.html

    Each time I photograph the injured, the dead, and the aftermath of destruction, or inhale the acrid smoke still lingering after an attack, I am flooded with a familiar, haunting feeling,” says ...

  9. Test and Training Enabling Architecture - Wikipedia

    en.wikipedia.org/wiki/Test_and_Training_Enabling...

    Test and Training Enabling Architecture (TENA) is an architecture designed to bring interoperability to United States Department of Defense test and training systems. TENA is designed to promote integrated testing and simulation-based acquisition through the use of a large-scale, distributed, real-time synthetic environment, which integrates testing, training, simulation, and high-performance ...

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