All news with #agentic ai tag

🔍 AWS Transform now provides a model-to-model migration custom transformation that evaluates generative AI workloads and generates a migration plan to Amazon Bedrock. The agent scans codebases to identify AI SDKs and models, collects migration requirements interactively, and maps models to Bedrock equivalents with cost comparisons and production-ready code changes. It preserves application architecture while recommending routing, caching, and Bedrock integrations for secure, consolidated deployment.

🛠️ Siemens and Google Cloud built Knowledge Fabric, an AI system using knowledge graphs on Spanner Graph, the Google Agent Development Kit, and LLM APIs to modernize large industrial codebases. The platform models code relationships with GQL, uses embeddings and ANN for semantic search, and combines full-text search to deliver precise impact analysis. By "slicing the elephant," agentic workflows break large refactors into smaller tasks with human oversight, reducing engineering effort and preserving system integrity.

🔒 Palo Alto Networks and Databricks announce an integrated runtime security solution to protect agentic AI across the enterprise. The partnership embeds Prisma AIRS into the Databricks Unity AI Gateway to provide centralized governance, real-time inspection, and policy-driven enforcement for prompts, tool calls, and model interactions. This approach aims to prevent prompt injections, data exfiltration, and malicious tool usage while enabling faster, secure AI deployments.

🤖 Starting today, AWS Partner Central agents qualify every co-sell opportunity in real time and make actionable recommendations to accelerate AWS engagement and deal progression. Building on agents released March 16, 2026, the agent can act on the partner's behalf via conversation to enrich opportunity details, removing manual review delays. Each opportunity now receives an Opportunity Quality Score and is matched to a co-sell motion—AWS field-engaged, Agent-engaged, or Partner-led—with the score and motion recalculated in real time as recommendations are applied.

🤖 AWS Marketplace introduces AI-assisted product listing within the Partner Assistant chat to help Independent Software Vendors (ISVs) and Consulting Partners create optimized product listings using existing digital assets. The assistant imports content from websites, PDFs, case studies, and documentation, then generates, validates, and formats listing fields to meet AWS Marketplace requirements and improve search discoverability. Field-level recommendations and a quality score help partners align listings with best practices. Available via AWS Partner Central, the AWS Marketplace Management Portal, and programmatically through the Partner Agent MCP server; not available in AWS GovCloud (US) or China Regions.

🔔 AWS Partner Central introduces Business Value Realization (BVR), a new experience and funding motion that helps partners drive customer adoption and measurable business outcomes after deploying strategic AWS services. Partners can self-enroll, nominate customer opportunities, and monitor progress through defined adoption stages with guided activities. AI agents generate weekly adoption reports highlighting progress, risks, and recommendations, while funding is automatically disbursed when stages are completed.

🤝 Today AWS announced general availability of onboarding agents for AWS Partner Central. The agent serves as an always-available advisor that guides new partners through profile setup, verifications, tax and payment setup, compliance, and preparing listings on Marketplace. Partners can interact with the agent in the AWS Partner Central console or programmatically via Model Context Protocol (MCP). The agent auto-populates partner profiles using company website data and provides a personalized roadmap to accelerate readiness to sell with AWS.

🤖 Google announces expanded Agentic Data Cloud capabilities, introducing new data agents and tools to enable conversational analytics and agent-driven workflows across BigQuery, Lakehouse, AlloyDB, Spanner, and Cloud SQL. The update includes Data Engineering, Data Science, Database Observability, Looker Dashboard, Data Insights, and Deep Research agents, plus developer toolkits like the Data Agent Kit and Managed MCP servers. These features aim to ground agents in real-time enterprise data with unified governance and near-100% accuracy for tasks such as NL-to-SQL conversions and automated pipeline maintenance.

🧭 This post describes how Yahoo and Google Cloud built Seller Agent, an agentic media-buying platform that collapses multi-week manual workflows into governed campaigns executed in seconds. The architecture uses a dual-graph approach — a knowledge graph for deterministic business logic and a context graph for auditable decision traces — combined with Google Cloud services like Spanner Graph, BigQuery Graph, and Gemini. The design emphasizes explainability, regulator-grade governance, and closed-loop learning to ensure autonomous actions remain transparent and accountable.

🟢 AWS Partner Central now offers lead enrichment and prospecting, letting AWS Partners enrich AWS-sourced or partner-sourced leads with AWS-generated propensity insights and recommendations for program, funding, and sales motion eligibility. Partners can upload leads in the console or programmatically via the AWS Partner Central API. Each enriched lead returns propensity-to-buy signals, Marketplace purchase likelihood, solution-category alignment, and eligibility for programs like Partner Greenfield Program and Pioneer Credits. The feature is available to ACE-eligible Partners in the US East (N. Virginia) Region.

🔒 European enterprises tested sovereign cloud under regulatory pressure and found residency alone doesn’t equal control. Vendors offer sovereignty features, but practitioners at EIC 2026 emphasized that identity governance — not just data location — determines operational sovereignty for AI workloads. Weak identity controls, especially for non-human AI agents, undermine claims of control despite customer-managed keys or regional data centers.

📘 Today Google Cloud introduces the Open Knowledge Format (OKF), an open, vendor-neutral specification that formalizes the LLM-wiki pattern into a portable directory of markdown files with YAML frontmatter. OKF v0.1 defines a small set of conventions so different producers’ wikis can be consumed by agents without translation. The spec is intentionally minimal — one required type field per concept — and is accompanied by reference producer and consumer implementations and sample bundles.

🔍 This post summarizes three business-focused takeaways from Microsoft Build 2026 for leaders evaluating AI adoption. It explains how Microsoft is shifting from standalone models to a shared enterprise intelligence layer—Microsoft IQ—that connects business data and processes across systems. The article highlights Azure’s agent platform and Foundry updates for production-grade deployment, governance, and performance, emphasizing that AI is expected to deliver measurable outcomes now.

🛡️ Two security teams demonstrated attacks against OpenClaw, where hidden instructions in shared contacts, vCards, and location pins or ordinary-looking emails caused the agent to execute attacker-controlled code or exfiltrate sensitive data. Imperva found a message-object prompt-injection flaw that OpenClaw patched in version 2026.4.23, while Varonis showed social-engineering 'agent phishing' that requires architectural controls rather than a simple patch. Operators are urged to update, restrict outbound actions, and treat agents as junior employees needing human oversight.

🔒 Check Point Research discovered a critical vulnerability chain in LangGraph, an open-source AI agent framework with ~46.5M monthly downloads, that can lead to full remote code execution. The issue centers on the checkpointer persistence layer where an SQL injection in get_state_history() can be chained with a msgpack deserialization flaw to execute attacker-controlled code. Three CVEs were assigned and patched; affected teams should upgrade and place authentication and network controls in front of self-hosted deployments.

🛠️ Amazon OpenSearch Service now integrates MCP Apps to bring observability workflows into compatible agentic IDEs like Claude Desktop and VS Code. With this integration, local AI agents can investigate incidents using logs, traces, metrics, and alerts stored in OpenSearch domains, collections, and Amazon Managed Service for Prometheus. Each MCP App returns both a concise text summary for agent reasoning and an interactive visualization for human review within the same conversation thread.

🚀 Amazon EC2 M9g and M9gd instances powered by AWS Graviton5 processors are now generally available. M9g targets general-purpose workloads and agentic AI tasks, while M9gd adds local NVMe SSD storage for low-latency, high-throughput use cases. These instances offer up to 25% better compute performance over Graviton4-based M8g/M8gd and deliver sizable gains for databases, web apps, and ML. They run on the sixth-generation Nitro System and introduce the Nitro Isolation Engine for formally verified workload isolation.

🛡️ An enterprise sales team built an AI agent to manage renewals; the agent reads emails, queries CRM data, drafts responses, and updates records. This workflow combines private data, untrusted input, and external communication, changing the security model. Traditional controls like IAM and DLP still matter but are insufficient alone. Runtime, context-aware controls that inspect prompts, outputs, and tool calls are required to prevent prompt injection, data exfiltration, and unsafe actions.

🔒 Varonis tested an OpenClaw-based AI agent named Pinchy with access to a controlled Google Workspace to see whether autonomous agents could be phished. The agent was given Gmail access plus mock AWS credentials, CRM exports, internal chats, and calendars, and it still leaked credentials and customer data in scenarios that mimicked routine colleague requests. A stricter safety profile improved performance, but the agent still failed when social trust cues were abused. Researchers say the problem stems from architecture and governance gaps, urging enforceable controls, identity segregation, and human review for sensitive requests.

🤖 Microsoft has integrated Anthropic’s Claude Fable 5 into Foundry, bringing Mythos-level capabilities to GitHub Copilot and Foundry Agent Service with enterprise-grade safeguards. The model excels at long-running, multi-stage tasks—code refactors, deep research, and document-heavy workflows—while Foundry adds governance, observability, and deployment controls. Combined with Microsoft IQ, Fable 5 can reason across organizational data and applications to support production-grade autonomous agents.