Systems and methods AI-driven security requirements generation and enforcement across software development and IT management systems

1 . A computer-implemented method, comprising:

receiving, by a computing system, application development data describing at least one software component to be developed;

identifying, by an artificial intelligence (AI) model trained with industry-standard security frameworks and organization-specific security policies, a plurality of security requirements corresponding to the application development data;

generating a requirements report identifying the plurality of security requirements;

populating a development backlog based upon, at least in part, the requirements report;

monitoring automated build events of the software component in a continuous-integration/continuous-deployment (CI/CD) pipeline;

verifying compliance of the software component with one or more of the plurality of security requirements based on the automated build events;

updating a record for the software component to indicate a compliance status;

controlling deployment of the software component to a production environment based on the compliance status; and

updating the AI model based on at least one of observed production vulnerabilities and incident data to continuously refine future security requirement generation of the plurality of security requirements for the at least one software component.

2 . The method of claim 1 , wherein the AI model is trained using non-functional security requirements from at least one of NIST, PCI-DSS, ISO-27001, and OWASP, in combination with internal organizational standards.

3 . The method of claim 1 , wherein receiving the application development data includes ingesting a design artifact describing an intended functionality of the software component.

4 . The method of claim 1 , wherein the AI model performs natural-language processing to extract contextual indicators of technology stack, hosting environment, and data classification to determine relevant security controls.

5 . The method of claim 1 , further comprising associating the plurality of security requirements with a corresponding unique application identifier.

6 . The method of claim 1 , wherein verifying compliance includes:

receiving telemetry from security tools in the CI/CD pipeline; and

comparing the telemetry against the identified security requirements.

7 . The method of claim 6 , wherein the compliance status is represented using a color-coded indicator comprising a red, yellow, or green state.

8 . The method of claim 1 , further comprising transmitting non-compliant security requirements to a change-management workflow to trigger additional manual review before deployment.

9 . The method of claim 1 , further comprising generating a digital certification report confirming compliance of the software component with the plurality of security requirements, wherein the certification report is digitally signed to authenticate origin and integrity.

10 . The method of claim 9 , further comprising storing the certification report in an immutable ledger to evidence compliance of the software component with a predefined security profile.

11 . The method of claim 1 , further comprising updating an operational risk score for the software component based on the compliance status.

12 . The method of claim 1 , further comprising enforcing a speed-lane deployment control based on whether the compliance status transitions to a red, a yellow, or a green state.

13 . The method of claim 1 , further comprising generating, by the AI model, a threat model predicting potential attack vectors based on the application development data.

14 . The method of claim 13 , further comprising updating the threat model dynamically using real-time cyber-threat intelligence feeds to modify a risk ranking of the software component.

15 . The method of claim 1 , wherein the requirements report is formatted for integration with project-management tools to facilitate resource planning and timeline estimation.

16 . The method of claim 1 , further comprising automatically updating a configuration of the CI/CD pipeline to include enforcement scripts for the plurality of security requirements.

17 . The method of claim 1 , wherein the AI model is deployed as a third-party certification service accessible to multiple independent software vendors and configured to enforce generation of security-requirement reports prior to production deployment.

18 . A computer program product residing on a computer readable storage medium having a plurality of instructions stored thereon which, when executed across one or more processors, causes at least a portion of the one or more processors to perform operations comprising:

receiving, by a computing system, application development data describing at least one software component to be developed;

identifying, by an artificial intelligence (AI) model trained with industry-standard security frameworks and organization-specific security policies, a plurality of security requirements corresponding to the application development data;

generating a requirements report identifying the plurality of security requirements;

populating a development backlog based upon, at least in part, the requirements report;

monitoring automated build events of the software component in a continuous-integration/continuous-deployment (CI/CD) pipeline;

verifying compliance of the software component with one or more of the plurality of security requirements based on the automated build events;

updating a record for the software component to indicate a compliance status;

controlling deployment of the software component to a production environment based on the compliance status; and

updating the AI model based on at least one of observed production vulnerabilities and incident data to continuously refine future security requirement generation of the plurality of security requirements for the at least one software component.

19 . A computing system including one or more processors and one or more memories configured to perform operations comprising:

receiving, by a computing system, application development data describing at least one software component to be developed;

identifying, by an artificial intelligence (AI) model trained with industry-standard security frameworks and organization-specific security policies, a plurality of security requirements corresponding to the application development data;

generating a requirements report identifying the plurality of security requirements;

populating a development backlog based upon, at least in part, the requirements report;

monitoring automated build events of the software component in a continuous-integration/continuous-deployment (CI/CD) pipeline;

verifying compliance of the software component with one or more of the plurality of security requirements based on the automated build events;

updating a record for the software component to indicate a compliance status;

controlling deployment of the software component to a production environment based on the compliance status; and

updating the AI model based on at least one of observed production vulnerabilities and incident data to continuously refine future security requirement generation of the plurality of security requirements for the at least one software component.