Cybersecurity components communicating and cooperating with one or more large language models

A method to protect against cyber threats, comprising:

• providing one or more cybersecurity components including
• i) a cyber security appliance with a cyber threat detect engine to detect a cyber threat in one or more of an email system, an Information Technology network, a cloud network, and any combination thereof,
• ii) a proactive threat notification service to publicize new and ongoing cyber threats,
• iii) a cyber threat autonomous response engine to take one or more actions to mitigate a detected cyber threat,
• iv) a cyberattack simulator to simulate a cyberattack,
• v) a cyber-attack restoration engine to restore network components back to an operational state prior to the cyberattack, and
• vi) an artificial intelligence-based cyber threat analyst module to investigate a chain of two or more anomalies linked to each other over a time frame of examination spanning two or more days;
• providing one or more large language models (LLMs) to communicate and cooperate with the one or more cybersecurity components via one or more Application Program Interfaces (APIs) to receive cyber security information being produced by the one or more of the cybersecurity components and then to apply language generation functionality in order to assist a human in an understanding of the cyber security information being produced by the cybersecurity components, and then also to provide recommendations to prioritize breaches over other breaches in a native human friendly format for the human;
• and
• providing the one or more LLMs that are trained to do tasks on behalf of a user and provide human readable summaries, including
• i) summarization and prioritization of breaches,
• ii) launching an investigation using the one or more APIs to find out information, and then
• iii) utilizing language capabilities of the LLMs to rephrase existing textual material to make the information more readily understandable to a larger audience of human end users.

A non-transitory storage medium including software that, upon execution by a processor, is configured to perform operations, comprising:

• using one or more large language models (LLMs) to communicate and cooperate with one or more cybersecurity components via one or more Application Program Interfaces (APIs) to receive cyber security information being produced by the one or more of the cybersecurity components and then to apply language generation functionality in order to assist a human in an understanding of the cyber security information being produced by the cybersecurity components, and then also to provide recommendations to prioritize breaches over other breaches in a native human friendly format for the human, and
• where the one or more cybersecurity components configured to cooperate with the LLMs include
• i) a cyber security appliance with a cyber threat detect engine to detect a cyber threat in one or more of an email system, an Information Technology network, a cloud network, and any combination thereof,
• ii) a proactive threat notification service to publicize new and ongoing cyber threats,
• iii) a cyber threat autonomous response engine to take one or more actions to mitigate a detected cyber threat,
• iv) a cyberattack simulator to simulate a cyberattack,
• v) a cyber-attack restoration engine to restore network components back to an operational state prior to the cyberattack, and
• vi) an artificial intelligence-based cyber threat analyst module to investigate a chain of two or more anomalies linked to each other over a time frame of examination spanning two or more days;
• and
• wherein the one or more LLMs are trained to do tasks on behalf of a user and provide human readable summaries, including i) summarization and prioritization of breaches, ii) launching an investigation using the one or more APIs to find out information, and then iii) utilizing language capabilities of the LLMs to rephrase existing textual material to make the information more readily understandable to a larger audience of human end users.