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NEW QUESTION # 13
A developer is building new API functions for a cloud-based application. Before writing the code, the developer wants to ensure that destructive actions, including deleting and updating data, are properly protected by access control identifying sensitive fields such as those that contain passwords or personally identifiable information. Which approach must be used to score the risks proactively?
Answer: A
Explanation:
In a DevSecOps environment, "shifting left" means identifying risks before a single line of application code is even executed.Open API Specification (OAS) Analysisis a proactive technique where the "contract" of the API (the YAML or JSON file defining its endpoints, methods, and data structures) is audited for security flaws.
By analyzing the OAS, security tools can proactively identify if "destructive" methods-like DELETE or PATCH-lack proper authorization scopes or if sensitive fields (like PII or passwords) are being exposed in responses where they shouldn't be. This allows the developer to "score" the risk based on the API's design before moving into the implementation phase.
WhileSAST (Static Application Security Testing)(Option B) is vital for finding vulnerabilities in written source code, it occursafterthe code is written.SBOM (Software Bill of Materials) Generation(Option C) tracks third-party libraries but doesn't analyze API logic.CSPM (Cloud Security Posture Management) (Option D) focuses on the misconfiguration of the cloud infrastructure (like open S3 buckets) rather than the internal logic of the API itself. OAS Analysis specifically addresses the developer's need to validate access controls and sensitive data handling during the design and definition stage of API development.
NEW QUESTION # 14
After deploying a new API, the security team must identify the components of the application that are exposed to the internet and whether there are application authentication risks. Which technology must be deployed to discover the applications services and monitor for authentication issues?
Answer: C
Explanation:
Securing APIs requires visibility into the "runtime" behavior of the application.API trace analysis(often part of anAPI Securitysolution like Cisco Panoptica) is the technology used to automatically discover API endpoints and analyze the traffic flowing through them. This process identifies "shadow APIs" (undocumented endpoints) that are exposed to the internet and inspects the headers and payloads for authentication risks, such as missing tokens or broken object-level authorization (BOLA).
By monitoring actual traffic traces, the security team can confirm if the API is following the intended security design or if it is leaking sensitive data due to poor authentication implementation.Cloud Security Posture Management (CSPM)(Option A) focuses on the configuration of the cloud infrastructure (like an open S3 bucket) rather than the internal logic of an API's authentication.Secret scanning(Option C) is a "shift-left" technique used to find hardcoded passwords in source code during the build phase, not for monitoring live traffic.Cloud Workload Protection (CWPP)(Option D) focuses on protecting the underlying host or container from malware and exploits. Only API trace analysis provides the specific visibility into service discovery and application-layer authentication health required in the Cisco SDSI v1.0 objectives for modern DevSecOps environments.
NEW QUESTION # 15
Which generative AI impact is addressed by a human-in-the-loop design policy?
Answer: D
Explanation:
In the realm of Artificial Intelligence security,AI hallucinationsoccur when a generative model perceives patterns that are non-existent or logically incorrect, leading to the creation of content that is nonsensical, factually wrong, or potentially dangerous. To mitigate the risks associated with these inaccuracies, ahuman- in-the-loop (HITL)design policy is essential. This policy ensures that human judgment and contextual understanding are integrated into the AI's decision-making or output validation process.
According to theCisco SDSI v1.0objectives, while AI is exceptional at processing high volumes of data, it lacks the ethical and logical framework to consistently identify its own hallucinations. By implementing a HITL approach, subject matter experts can review AI-generated responses, code, or security alerts before they are acted upon. This human oversight allows for the identification of "logical leaps" or false information that automated filters might miss.
Whiledeep fakes(Option B) are typically addressed through cryptographic watermarking or origin tracking, andphishing(Option C) is mitigated via email security gateways and user training, hallucinations are an inherent flaw in the model's predictive nature that requires manual verification.Scale changes(Option D) refer to technical image manipulations and are not a primary concern for HITL policies. Incorporating human feedback-often throughReinforcement Learning from Human Feedback (RLHF)-allows the security infrastructure to refine the model's accuracy over time, ensuring that generative outputs remain reliable, safe, and aligned with organizational standards.
NEW QUESTION # 16
After deploying a new API, the security team must identify the components of the application that are exposed to the internet and whether there are application authentication risks. Which technology must be deployed to discover the applications services and monitor for authentication issues?
Answer: C
Explanation:
API trace analysis allows the security team to map out which API endpoints are exposed to the internet and to detect authentication risks. By tracing API calls, it identifies exposed services, monitors traffic flow, and highlights weaknesses in authentication or authorization mechanisms.
NEW QUESTION # 17
An IT company experienced the spread of malicious content between user endpoints, which impacted business critical resources. The company wants to implement a solution to control communication between individual endpoints on the network. Which approach achieves the goal?
Answer: B
Explanation:
The spread of malicious content between endpoints is a classic case oflateral movement. To control and restrict communication between individual endpoints-regardless of their physical location or IP address- Cisco TrustSecis the recommended architectural approach. TrustSec moves away from traditional, IP-based Access Control Lists (ACLs), which are difficult to manage and scale, and instead usesScalable Group Tags (SGTs).
With TrustSec, every endpoint is assigned an SGT based on its role or security context (e.g., "Employee,"
"Contractor," or "HR"). Security policies are then defined in a centralized matrix (the egress policy matrix) that dictates which SGTs can talk to one another. For example, a policy can be set so that endpoints in the
"Developer" group cannot communicate directly with endpoints in the "Sales" group, effectively preventing malware from hopping between machines. WhileRADIUS(Option A) is the protocol used for authentication, it does not perform the segmentation itself.Posture(Option C) checks the health of the device, andProfiling (Option D) identifies what the device is, but neither provides the policy-based traffic control of TrustSec. By implementing TrustSec, the company achievesmicro-segmentation, significantly reducing the internal attack surface and containing potential breaches within a single group, which is a core goal of modern secure infrastructure design.
NEW QUESTION # 18
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