Preventing unauthorized access to secure information systems using advanced pre-authentication techniques

1. A computing platform, comprising:

at least one processor;

a communication interface communicatively coupled to the at least one processor; and

memory storing computer-readable instructions that, when executed by the at least one processor, cause the computing platform to:

receive, via the communication interface, from a local traffic manager, a first enriched access request associated with a first remote computing device;

based on receiving the first enriched access request associated with the first remote computing device from the local traffic manager, apply a pre-authentication classification model to the first enriched access request associated with the first remote computing device;

based on applying the pre-authentication classification model to the first enriched access request associated with the first remote computing device, determine that the first enriched access request associated with the first remote computing device is likely malicious;

based on determining that the first enriched access request associated with the first remote computing device is likely malicious, generate one or more first pre-authentication response commands directing client portal server infrastructure to process the first enriched access request associated with the first remote computing device as a malicious request; and

send, via the communication interface, to the client portal server infrastructure, the one or more first pre-authentication response commands directing the client portal server infrastructure to process the first enriched access request associated with the first remote computing device as a malicious request,

wherein receiving the first enriched access request associated with the first remote computing device from the local traffic manager comprises receiving, from the local traffic manager, one or more hypertext transfer protocol (HTTP) headers originating from a first access request received by the local traffic manager from the first remote computing device and additional enrichment information generated by the local traffic manager based on the first access request received by the local traffic manager from the first remote computing device, and

wherein applying the pre-authentication classification model to the first enriched access request associated with the first remote computing device comprises:

using a dependent probability machine learning model to calculate a probability that the first enriched access request associated with the first remote computing device is likely malicious based on the one or more HTTP headers originating from the first access request received by the local traffic manager from the first remote computing device and based on the additional enrichment information generated by the local traffic manager; and

based on the probability calculated using the dependent probability machine learning model exceeding a predetermined threshold, determining that the first enriched access request associated with the first remote computing device is likely malicious.

2. The computing platform of claim 1 , wherein sending the one or more first pre-authentication response commands directing the client portal server infrastructure to process the first enriched access request associated with the first remote computing device as a malicious request causes the client portal server infrastructure to deny access to the first remote computing device.

3. The computing platform of claim 1 , wherein sending the one or more first pre-authentication response commands directing the client portal server infrastructure to process the first enriched access request associated with the first remote computing device as a malicious request causes the client portal server infrastructure to connect the first remote computing device to a honeypot site in which actual user account information is not accessible.

4. The computing platform of claim 1 , wherein sending the one or more first pre-authentication response commands directing the client portal server infrastructure to process the first enriched access request associated with the first remote computing device as a malicious request causes the client portal server infrastructure to throttle communications associated with the first remote computing device.

5. The computing platform of claim 1 , wherein sending the one or more first pre-authentication response commands directing the client portal server infrastructure to process the first enriched access request associated with the first remote computing device as a malicious request causes the client portal server infrastructure to require step-up authentication credentials from the first remote computing device.

6. The computing platform of claim 1 , wherein the memory stores additional computer-readable instructions that, when executed by the at least one processor, cause the computing platform to:

prior to receiving the first enriched access request associated with the first remote computing device from the local traffic manager:

receive a known legitimate request reference dataset comprising HTTP header information associated with verified legitimate requests;

receive a known malicious request reference dataset comprising HTTP header information associated with verified malicious requests;

generate the pre-authentication classification model based on the known legitimate request reference dataset and the known malicious request reference dataset; and

store the pre-authentication classification model generated based on the known legitimate request reference dataset and the known malicious request reference dataset.

7. The computing platform of claim 1 , wherein the memory stores additional computer-readable instructions that, when executed by the at least one processor, cause the computing platform to:

after sending the one or more first pre-authentication response commands to the client portal server infrastructure, update the pre-authentication classification model based on determining that the first enriched access request associated with the first remote computing device is likely malicious.

8. The computing platform of claim 7 , wherein the memory stores additional computer-readable instructions that, when executed by the at least one processor, cause the computing platform to:

receive, via the communication interface, from the local traffic manager, a second enriched access request associated with a second remote computing device;

based on receiving the second enriched access request associated with the second remote computing device from the local traffic manager, apply the pre-authentication classification model to the second enriched access request associated with the second remote computing device;

based on applying the pre-authentication classification model to the second enriched access request associated with the second remote computing device, determine that the second enriched access request associated with the second remote computing device is likely not malicious;

based on determining that the second enriched access request associated with the second remote computing device is likely not malicious, generate one or more second pre-authentication response commands directing the client portal server infrastructure to process the second enriched access request associated with the second remote computing device as a legitimate request; and

send, via the communication interface, to the client portal server infrastructure, the one or more second pre-authentication response commands directing the client portal server infrastructure to process the second enriched access request associated with the second remote computing device as a legitimate request.

9. A method, comprising:

at a computing platform comprising at least one processor, a communication interface, and memory:

receiving, by the at least one processor, via the communication interface, from a local traffic manager, a first enriched access request associated with a first remote computing device;

based on receiving the first enriched access request associated with the first remote computing device from the local traffic manager, applying, by the at least one processor, a pre-authentication classification model to the first enriched access request associated with the first remote computing device;

based on applying the pre-authentication classification model to the first enriched access request associated with the first remote computing device, determining, by the at least one processor, that the first enriched access request associated with the first remote computing device is likely malicious;

based on determining that the first enriched access request associated with the first remote computing device is likely malicious, generating, by the at least one processor, one or more first pre-authentication response commands directing client portal server infrastructure to process the first enriched access request associated with the first remote computing device as a malicious request; and

sending, by the at least one processor, via the communication interface, to the client portal server infrastructure, the one or more first pre-authentication response commands directing the client portal server infrastructure to process the first enriched access request associated with the first remote computing device as a malicious request,

wherein receiving the first enriched access request associated with the first remote computing device from the local traffic manager comprises receiving, from the local traffic manager, one or more hypertext transfer protocol (HTTP) headers originating from a first access request received by the local traffic manager from the first remote computing device and additional enrichment information generated by the local traffic manager based on the first access request received by the local traffic manager from the first remote computing device, and

wherein applying the pre-authentication classification model to the first enriched access request associated with the first remote computing device comprises:

using a dependent probability machine learning model to calculate a probability that the first enriched access request associated with the first remote computing device is likely malicious based on the one or more HTTP headers originating from the first access request received by the local traffic manager from the first remote computing device and based on the additional enrichment information generated by the local traffic manager; and

based on the probability calculated using the dependent probability machine learning model exceeding a predetermined threshold, determining that the first enriched access request associated with the first remote computing device is likely malicious.

10. The method of claim 9 , wherein sending the one or more first pre-authentication response commands directing the client portal server infrastructure to process the first enriched access request associated with the first remote computing device as a malicious request causes the client portal server infrastructure to deny access to the first remote computing device.

11. The method of claim 9 , wherein sending the one or more first pre-authentication response commands directing the client portal server infrastructure to process the first enriched access request associated with the first remote computing device as a malicious request causes the client portal server infrastructure to connect the first remote computing device to a honeypot site in which actual user account information is not accessible.

12. The method of claim 9 , wherein sending the one or more first pre-authentication response commands directing the client portal server infrastructure to process the first enriched access request associated with the first remote computing device as a malicious request causes the client portal server infrastructure to throttle communications associated with the first remote computing device.

13. The method of claim 9 , wherein sending the one or more first pre-authentication response commands directing the client portal server infrastructure to process the first enriched access request associated with the first remote computing device as a malicious request causes the client portal server infrastructure to require step-up authentication credentials from the first remote computing device.

14. The method of claim 9 , comprising:

prior to receiving the first enriched access request associated with the first remote computing device from the local traffic manager:

receiving, by the at least one processor, a known legitimate request reference dataset comprising HTTP header information associated with verified legitimate requests;

receiving, by the at least one processor, a known malicious request reference dataset comprising HTTP header information associated with verified malicious requests;

generating, by the at least one processor, the pre-authentication classification model based on the known legitimate request reference dataset and the known malicious request reference dataset; and

storing, by the at least one processor, the pre-authentication classification model generated based on the known legitimate request reference dataset and the known malicious request reference dataset.

15. The method of claim 9 , comprising:

after sending the one or more first pre-authentication response commands to the client portal server infrastructure, updating, by the at least one processor, the pre-authentication classification model based on determining that the first enriched access request associated with the first remote computing device is likely malicious.

16. One or more non-transitory computer-readable media storing instructions that, when executed by a computing platform comprising at least one processor, a communication interface, and memory, cause the computing platform to:

receive, via the communication interface, from a local traffic manager, a first enriched access request associated with a first remote computing device;

based on receiving the first enriched access request associated with the first remote computing device from the local traffic manager, apply a pre-authentication classification model to the first enriched access request associated with the first remote computing device;

based on applying the pre-authentication classification model to the first enriched access request associated with the first remote computing device, determine that the first enriched access request associated with the first remote computing device is likely malicious;

based on determining that the first enriched access request associated with the first remote computing device is likely malicious, generate one or more first pre-authentication response commands directing client portal server infrastructure to process the first enriched access request associated with the first remote computing device as a malicious request; and

send, via the communication interface, to the client portal server infrastructure, the one or more first pre-authentication response commands directing the client portal server infrastructure to process the first enriched access request associated with the first remote computing device as a malicious request,

wherein receiving the first enriched access request associated with the first remote computing device from the local traffic manager comprises receiving, from the local traffic manager, one or more hypertext transfer protocol (HTTP) headers originating from a first access request received by the local traffic manager from the first remote computing device and additional enrichment information generated by the local traffic manager based on the first access request received by the local traffic manager from the first remote computing device, and

wherein applying the pre-authentication classification model to the first enriched access request associated with the first remote computing device comprises:

using a dependent probability machine learning model to calculate a probability that the first enriched access request associated with the first remote computing device is likely malicious based on the one or more HTTP headers originating from the first access request received by the local traffic manager from the first remote computing device and based on the additional enrichment information generated by the local traffic manager; and

based on the probability calculated using the dependent probability machine learning model exceeding a predetermined threshold, determining that the first enriched access request associated with the first remote computing device is likely malicious.