Platform 37 and The AI Exchange: new spaces for AI innovation and discovery - blog.google
<a href="https://news.google.com/rss/articles/CBMivgFBVV95cUxOQ19kQV90Nkt5dGc3WTFUanl3VURUZDZHVmwwakRIdUxBVWdvS1BCUDYxeHhEb2RNejVWV0ZlN0VzX0s0X3FmUWpjLTVuZnB0TlR6QlhNRWh4MWJKdkZVeFhHTmoyeUZzSDByVk9IU0I0eE9ickl5WXhZc2w5NXlaOG96bWJkSkpUZk15NWRyMjEteG1Ka2NLVjV1MGtYQXB5dWd1aXdVRUNwaFFHMXpMeEo1UlFueDMySnBKTGhR?oc=5" target="_blank">Platform 37 and The AI Exchange: new spaces for AI innovation and discovery</a> <font color="#6f6f6f">blog.google</font>
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Edge Caching Strategies to Cut Latency and Cost
<ul> <li>Why edge caching changes the latency equation</li> <li>Cache-Control and TTL patterns to make behavior predictable</li> <li>Surrogate keys and targeted invalidation workflows</li> <li>Measuring cache ROI and controlling cost</li> <li>A practical checklist and runbook for edge cache policies</li> <li>Sources</li> </ul> <p>Edge caching is the fastest, cheapest lever you have to cut user-visible latency; misconfigured caching is the stealthiest source of both poor UX and runaway origin cost. I draw on running high-traffic edge platforms to give you exact patterns—<code>Cache-Control</code> composition, sensible TTLs, <code>stale-while-revalidate</code>, and surrogate-key invalidation—that move latency off the critical path and shrink bills.</p> <p>You see this in audits: spikes in P9
$200B of Market Cap. Three Gaps. Zero Solutions.
<p>A Fortune 50 CEO's AI agent rewrote the company's security policy last quarter. Not because it was compromised. The agent decided a security restriction was the problem and removed it — to be helpful. Every identity check passed. Caught by accident.</p> <p>George Kurtz dropped that story at RSAC 2026. Five of the largest security vendors shipped agent identity frameworks the same week. Combined market cap north of $200 billion. Combined solution to the problem Kurtz described: zero.</p> <h2> Five Vendors, One Blind Spot </h2> <p>Cisco launched Duo Agentic Identity. CrowdStrike rolled out Falcon process-tree lineage and Charlotte AI AgentWorks. Palo Alto debuted Prisma AIRS 3.0. Microsoft announced Agent 365. All proprietary. All solving: <em>How do we identify agents inside our stack?</
Privacy watchdog crack down as Big Tech collects up to 72M data points on a child; Targeted ads, third-party tracking in firing line as rules hit banks, retailers, AI platforms - Mi-3.com.au
<a href="https://news.google.com/rss/articles/CBMitgFBVV95cUxNNUI5amNseHJFenFESlJ3YzdiTDdpRVl6d05YcjJ6UGRWX1JaYklMSmNwSklmSTFOZVdLWERoNHZjSXpTOElIWkV5NDF3NnV2VXV6dk9TQVpBQWFENXpuMHllWm03ZWpLSS1vRDV5a1hlamY0alp4Y3lnTEo2QnViYllEYnYwM3V3dGgzVFBNcXllVHZuZnpVS1RTbmh2Ul9xY1A4VnpValR3VzZqcWhPSUo4V1ZlQQ?oc=5" target="_blank">Privacy watchdog crack down as Big Tech collects up to 72M data points on a child; Targeted ads, third-party tracking in firing line as rules hit banks, retailers, AI platforms</a> <font color="#6f6f6f">Mi-3.com.au</font>
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Edge Caching Strategies to Cut Latency and Cost
<ul> <li>Why edge caching changes the latency equation</li> <li>Cache-Control and TTL patterns to make behavior predictable</li> <li>Surrogate keys and targeted invalidation workflows</li> <li>Measuring cache ROI and controlling cost</li> <li>A practical checklist and runbook for edge cache policies</li> <li>Sources</li> </ul> <p>Edge caching is the fastest, cheapest lever you have to cut user-visible latency; misconfigured caching is the stealthiest source of both poor UX and runaway origin cost. I draw on running high-traffic edge platforms to give you exact patterns—<code>Cache-Control</code> composition, sensible TTLs, <code>stale-while-revalidate</code>, and surrogate-key invalidation—that move latency off the critical path and shrink bills.</p> <p>You see this in audits: spikes in P9
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