AI Infrastructure

Preparing your security program for AI-accelerated offense

This is a grounded, actionable security playbook from Anthropic's own security engineers, responding to the reality that AI models are collapsing the time between patch publication and exploit availability. It prioritizes closing the patch gap, automating triage, and scanning your own code with the same AI tools attackers will use—all mapped to existing frameworks like SOC 2.

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Claude Managed Agents get built-in memory in public beta

Anthropic launches public beta of built-in memory for Claude Managed Agents. Agents store memories as files on the filesystem, using existing bash and code tools to read and write. Supports scoped permissions, audit logs, version rollback, and concurrent multi-agent access. Rakuten reports 97% fewer first-pass errors; Wisedocs speeds up verification by 30%.

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AlloyDB AI Functions: Boost Performance and Lower Costs

AlloyDB's new AI functions bring Gemini's world knowledge directly into SQL, with smart batching delivering up to 2,400x performance improvements and an optimized mode using proxy models that slashes costs by 6,000x. The key insight is that batching must happen at the database layer, not the application layer, to avoid bloated prompts or missed efficiency gains.

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SOCRadar achieves 20x faster threat queries with AlloyDB and Gemini

SOCRadar, a cybersecurity company delivering threat intelligence, hit a hard ceiling with its on-premises, self-managed PostgreSQL database. As both threat data volume and customer demands grew, the database couldn't keep up with the simultaneous pressure of high-velocity data ingestion and heavy real-time analytical queries. This created a critical data bottleneck that slowed down threat insights and forced engineers to spend their time on manual database tuning instead of product innovation.

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Looker 2026: Agentic BI via Governed Semantic Layers and Gemini Reasoning

Google frames its 2026 Gartner MQ Leader recognition around Looker's shift from passive dashboards to agentic BI. The core insight is that autonomous agents need a governed semantic layer (LookML) and deep reasoning (Gemini 3) to act on trusted metrics at scale, as demonstrated by PayPal's 3,000+ user rollout via Looker's Managed MCP.

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