Category Archives: Technology
SD-WAN path selection becomes useful only when the system can distinguish a temporarily imperfect link from a path that is genuinely bad for the application. Palo Alto Networks path-quality profiles evaluate conditions such as latency, jitter, packet loss, and bandwidth utilization and can trigger a move away from a deteriorating path for traffic that matches […]
AI model inventory reconciliation is the process of comparing the organization’s official AI inventory with what actually exists in engineering, cloud platforms, vendor products, procurement records, code repositories, and production traffic. That distinction is part of IAPP AIGP because ownership, evidence, and review have to remain explicit. NIST AI RMF Govern 1.6 calls for mechanisms […]
Databricks Apps uses OAuth 2.0 and separates the app’s dedicated service principal from the signed-in user. For GenAI Engineer Associate, the important operating boundary is that app authorization lets the application act as itself, while user authorization lets supported calls preserve the interacting user’s Databricks identity and existing permissions. As part of the Databricks GenAI […]
A cloud-native application is assembled through repositories, CI pipelines, registries, identities, APIs, managed services and short-lived workloads. Its risk does not belong to one security layer. An overly permissive storage bucket is a posture problem, a malicious package enters through development, and a compromised container may act after deployment. Cloud-Native Application Protection Platforms (CNAPPs) attempt […]
Panorama template stacks let administrators layer common network and device settings so managed firewalls inherit a combined configuration instead of receiving every value from one monolithic template. A base template can hold enterprise-wide settings, another can represent a region or platform family, and a higher-priority template can supply site-specific values. That hierarchy can make a […]
AI policy exceptions are temporary, documented approvals to operate outside a defined governance requirement under controlled conditions. In IAPP AIGP, decision rights and evidence make that mechanism governable: the request should identify the exact deviation, accountable owner, risk rationale, compensating controls, approver, expiry, and review triggers. Exceptions are necessary because delivery realities do not always […]
Databricks Foundation Model APIs gives applications hosted access to foundation models without requiring each team to operate inference infrastructure. For GenAI Engineer Associate, the architectural decision is how serving mode, model capability, routing, identity, evaluation, and cost controls fit together once model access becomes a managed platform service. At the Databricks GenAI layer, Foundation Model […]
A container image can have a familiar repository name and pass malware scanning without proving where its executable bytes came from. Tags can move, compromised builders can publish authentic-looking artifacts and a valid signature can accompany a package built from the wrong source revision. Provenance adds evidence about the build system, inputs and artifact identity […]
Prisma Access remote networks extend security and connectivity to branch locations through cloud-delivered infrastructure. A branch typically establishes IPSec connectivity to Prisma Access and advertises or configures the prefixes that should be reachable. From there, Prisma Access can apply policy and connect the branch to internet destinations, other remote networks, and private resources reachable through […]
AI red teaming is an adversarial evaluation practice designed to uncover harmful behaviors, security weaknesses, misuse pathways, failure modes, and gaps that ordinary testing may miss. For IAPP AIGP, governance determines which systems are red-teamed, who performs the testing, how realistic attacks can be, what data or users may be involved, how findings are handled, […]
Databricks inference tables make runtime AI traffic queryable by logging model-service requests and responses into Unity Catalog Delta tables. In GenAI Engineer Associate, that evidence matters because debugging, cost attribution, routing analysis, compliance, and production evaluation all depend on knowing what actually traversed the serving layer. Current designs should use Unity Gateway inference logging rather […]
Temporary credentials are issued for a specific session or workload instead of being stored as permanent keys. A deployment pipeline, for example, can assume a restricted cloud role when it runs rather than keeping an administrator credential in its environment. The security boundary is both who can request that session and what its temporary authority […]
A Prisma Access service connection links cloud-delivered access to private resources in an organization’s headquarters, data center, or other internal network. Palo Alto Networks also refers to the service connection as a Corporate Access Node in current documentation. The connection can carry traffic for mobile users and remote networks that need private applications, and it […]
AI risk acceptance is the deliberate decision by an authorized owner to proceed with a defined residual risk after controls, evidence, and alternatives have been considered. In IAPP AIGP, the key control is explicit decision authority: the record should identify the residual scenario, the owner accepting it, the scope and duration of the decision, the […]
Databricks routing now belongs to the Unity Gateway model-service control plane rather than only to legacy endpoint configuration. For GenAI Engineer Associate, the important boundary is that clients can call one governed service name while platform teams control traffic splitting, session affinity, destination changes, and fallback behind that contract. For teams working in Databricks GenAI, […]
