Endpoint Agent for Zero-Day Attack Simulation
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Solution Overview
Problem
Current cybersecurity systems lack effective measures to prevent zero-day attacks, which are new and unknown types of cyber threats that traditional security solutions cannot detect or defend against.
Innovation Solution
The Zero-day Attack Prevention Cybersecurity System employs an agent installed on endpoints to evaluate cybersecurity solutions using both standardized and non-standard Tactics, Techniques, and Procedures (TTPs), including those generated by artificial intelligence, to simulate and test against advanced threats, thereby validating the effectiveness of security infrastructure and incident response.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional cybersecurity solutions are used to defend against known attacks, then protection against established threat patterns is improved, but vulnerability to zero-day attacks increases since no predefined defenses exist
Solution Approach 1:
The system performs preliminary actions by proactively generating and deploying non-standard TTPs (Tactics, Techniques, and Procedures) that simulate zero-day attacks before they actually occur. The agent continuously creates hypothetical attack scenarios and executes them against the cybersecurity infrastructure to validate defenses in advance, rather than waiting for real attacks to manifest.
Solution Approach 2:
The system implements feedback mechanisms where the agent monitors the results of simulated attacks and uses this information to refine and update the non-standard TTPs. The feedback loop allows the system to learn from attack outcomes and continuously improve its ability to simulate and detect zero-day threats, creating an adaptive defense system.
2Adaptability or versatility
If non-standard TTPs generated by AI are used to simulate zero-day attacks, then ability to test against advanced threats is improved, but complexity of the testing system increases
Solution Approach 1:
The agent performs self-service by autonomously generating, executing, and analyzing non-standard TTPs without requiring constant human intervention. The system automatically manages the complexity of creating hypothetical attack scenarios, running them through the cybersecurity infrastructure, and interpreting the results, thereby reducing the operational burden on security teams.
Solution Approach 2:
The agent acts as an intermediary between the complex AI-generated attack simulations and the cybersecurity infrastructure being tested. It translates sophisticated non-standard TTPs into executable test scenarios, manages the interaction between attack simulations and security systems, and presents results in actionable formats, simplifying the overall testing process.
3Object-affected harmful factors
If the agent limits network communication from the endpoint, then security isolation and prevention of attack spread are improved, but ability to receive and process non-standard TTPs may be restricted
Solution Approach 1:
The agent applies local quality by implementing selective network communication controls specific to the endpoint being tested. It allows targeted traffic related to non-standard TTPs while blocking other potentially harmful communications. This localized approach enables the endpoint to receive necessary test data without exposing the broader network to risks.
Solution Approach 2:
The system segments network communication into distinct categories: allowed communications for receiving and processing non-standard TTPs, and blocked communications that could spread attacks. The agent maintains separate channels for test traffic versus production traffic, ensuring that security testing activities do not compromise overall network safety.
Data Source
AI summary
Embodiments are directed toward a non-transitory processor-readable medium for providing a zero-day attack prevention cybersecurity system, including an agent and an orchestrator. The agent is configured to be installed at an endpoint within a network to be evaluated. The endpoint has a cybersecurity solution to be tested. The orchestrator is enables standardized tactics, techniques, and procedures (“TTPs”) and non-standard TTPs to be sent across the network to the endpoint. The agent is configured to limit network communication outgoing from the endpoint to predefined or selected communications while the agent is installed at the endpoint. Accordingly, the agent and the orchestrator cooperatively enable testing the cybersecurity solution of the endpoint with respect to both the standardized TTPs and the non-standard TTPs without exposing other endpoints in communication with the network to security risks posed by the standardized TTPs and the non-standard TTPs sent to the endpoint.