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kong

Your Multi-Agent System Is Only as Reliable as Its Context Layer

Aug 19, 2026 By Hugo Guerrero In Kong
You've mapped the architecture. You know your agents need to retrieve context from external tools, coordinate with other agents, and propagate mutations through your systems. The model logic is solid. What you haven't fully solved is what sits between those agents and everything they're trying to reach. That's the gap Kong was built to close. Multi-agent workflows live and die on context.
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How Does Tier 2 SOC Automation Work?

How Does Tier 2 SOC Automation Work?

Aug 19, 2026 By SystemsDigest In SystemsDigest
Tier 2 SOC work picks up evidence gathering across consoles, containment decisions, sandbox detonation and verdicting, sweeping new indicators through historical data, and the case documentation and handoff that follow. Tier 1 work is linear enough to enumerate, so a playbook can list the steps. Tier 2 investigations branch, since each answer changes the next question, and no engineer can pre-write every path and that is why SOAR does not do well in Tier 2 even in teams where it works well at tier 1.
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confluent

Confluent Cloud for Apache Flink: Engine for Mission-Critical, Real-Time Operational Systems and dbt/SQL-Native Home for Data Science and AI

Aug 18, 2026 By Yashwanth Dasari In Confluent
Organizations today are under immense pressure to deliver on two critical fronts: building mission-critical, real-time operational systems and powering the next generation data science and artificial intelligence (AI) workflows with analytics-ready data. Historically, achieving both meant navigating a divided, complex architecture.
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confluent

New in Confluent Intelligence and AI Tools: Making Agents Native to the Stream, Expanded Model Support, New Agent Skills, and Copilot

Aug 18, 2026 By Confluent Staff In Confluent
A customer writes in asking where their order is. The AI support agent checks the account, sees the order marked shipped, and sends a reply. The order was cancelled forty minutes ago. The agent wasn't wrong about anything it could see. It was reasoning over stale data that refreshes every six hours. This is why AI projects stall. Not because the models aren't capable, but because they lack AI-ready data and a reliable view of the current state of the business.
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dreamfactory

Build Custom, AI-Ready API Endpoints Without Writing Backend Code

Aug 18, 2026 By Nic Davidson In DreamFactory
Auto-generated APIs changed how fast teams ship. Point DreamFactory at a database and you get a complete REST API in seconds: every table, full CRUD, live documentation, role-based security. For thousands of teams, that is the whole job. But auto-generated APIs mirror your schema. Your applications, and increasingly your AI agents, want something more deliberate: clean paths, shaped responses, and endpoints that match how the consumer thinks rather than how the database is laid out.
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integrate

Snowflake RBAC: How to Manage Who Accesses What in Your Pipelines

Aug 18, 2026 By Donal Tobin In Integrate
Your data engineer just accidentally deleted the production customer table. Again. This scenario plays out in organizations worldwide, not because of malicious intent, but because of poorly configured access controls. With data breaches and compliance violations, managing who can access what in your Snowflake data warehouse isn't optional: it's essential.
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zymr

How to Improve Interoperability in Healthcare: A Practical Roadmap (2026)

Aug 18, 2026 By Nirmal Suthar In Zymr
Healthcare interoperability enables clinical, administrative, and financial systems to exchange usable health information securely. It connects EHRs, payer platforms, laboratories, pharmacies, medical devices, and patient applications. In 2026, interoperability requires more than transferring data between disconnected systems. Healthcare organizations must standardize data models, resolve patient identities, govern access, maintain semantic consistency, and support real-time API-based workflows.
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