UNCLASSIFIED. Open Brief. Surface Cut.

Field Signals

Apex Notes: Better Meetings Across Cultures.
Three dial model for cross cultural discovery and negotiation.

Apigee Model Armor is GA
Ship safer AI proxies without custom middleware.

Kubernetes VAC is GA
Change storage behaviour at runtime in PoCs.

BigQuery soft failover is GA
Continuity drills without full cutovers; cleaner RTO story.

🔒 Also Inside

Playbook Drop: AI API front door on Apigee
Benchmark: Sub‑200 ms cache hits
Tool Showdown: EKS GPU chargeback
Field Insight: App‑token breach play

Don’t wait for someone to forward it.
Get the Edge →

🔒 CLASSIFIED. Operator Brief. Deep Cut.

Field Signals

Apex Notes: Better Meetings Across Cultures.
Three dial model for cross cultural discovery and negotiation.
Why it matters. Fewer misreads in discovery and negotiation; faster decisions in global accounts.
Do this week. Add the Three Dials slide to discovery and track one before after metric per account.
🔗 Apex Notes PDF →

Apigee LLM policies are GA.
Prompt and response sanitation, plus a semantic cache, now live for model proxies.
Why it matters. You can ship a safe AI API front door without bespoke middleware.
Do this week. Put Model Armor on your public demo proxy.
🔗 Source →

Kubernetes 1.34 ships VolumeAttributesClass at GA.
Tweak storage behaviour at runtime for StatefulSets.
Why it matters. Cut rebuilds. One change window, not a migration.
Do this week. Add VAC to one StatefulSet in a PoC cluster.
🔗 Source →

BigQuery adds soft failover at GA.
Managed DR with failover that avoids a full cutover.
Why it matters. Safer drills, cleaner RTO story in enterprise accounts.
Do this week. Enable on a non production project and capture proof.
🔗 Source →

Playbook Drop

AI API front door on Apigee with Model Armor
Goal. Ship a safe, fast demo gateway for LLM calls. No custom controls.
Steps:

  1. Create a proxy from the model template. Add sanitise prompt and sanitise response. Insert semantic cache lookup before the model call, populate after.

  2. Set route level TTLs. Public Q&A longer than tenant flows. Start at 5 to 15 minutes.

  3. Restrict tools and functions. Deny by default. Allow what the demo needs.

  4. Emit custom metrics for redactions and cache hits. Use them as your latency and safety story.

  5. Validate with three nasty inputs. Injection, exfiltration bait, jailbreak. Save artefacts.

Risks. Over sanitisation. Cache bleed if keys are sloppy. Show keys and TTLs in the demo.
🔗 Docs →

Benchmark Snap

Semantic cache on vs pass through in Apigee
Design. One route, one question set, 50 requests with cache off, then on.
Measure. Mean latency, p95, error rate, blocked redactions per 50.
Target. Sub 200 ms on cache hits, zero prompt injection passes.
🔗 Reference →

Tool in Focus

EKS accelerator cost allocation in CUR
Why it matters. Proper chargeback for GPUs, Trainium, and Inferentia.
Do this week. Enable Split Cost Allocation Data, tag one demo namespace, run a short GPU job, confirm new CUR fields.
Proof to collect. A pivot by team, model, and tenant.
🔗 Source →

Role Intel

SE leader. Third party app breach play for GTM stacks
Why now. Salesloft and Drift token theft exposed customer case data in downstream tools. Your CRM and inbox automations are in scope.
Do today. Revoke and re issue tokens tied to those apps. Force re auth on managed browsers. Audit extensions. Search CRM for app sourced objects created 8 to 18 Aug, then 19 to 20 Aug post revocation. Triage anomalies. Add a third party app exception to your incident runbook. Include scopes, revocation timelines, and notification paths.
🔗 Cloudflare →

Also useful. For cross cultural discovery, use Apex Notes: Better Meetings Across Cultures. Apply the Three Dials model.
🔗 Apex Notes PDF →

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