All news with #how to tag

🔍 This post previews Google's new design recommendation for leveraging GKE's flat network, explaining how it differs from island-mode networking and how teams can adapt existing architectures. It highlights recommended patterns and a reference design that emulates island-mode behavior within the flat model. The guidance focuses on IP address management, scalability, and integration points to ease migration for critical workloads such as generative AI.

🔒 Generative AI introduces new attack surfaces that alter trust relationships between users, applications and models. Siemens' pentest and security teams differentiate Offensive Security (targeted technical pentests) from Red Teaming (broader organizational simulations of real attackers). Traditional ML risks such as image or biometric misclassification remain relevant, but experts now single out prompt injection as the most serious threat — simple crafted inputs can leak system prompts, cause misinformation, or convert innocuous instructions into dangerous command injections.

🔐 This AWS Security blog by Jennifer Paz outlines a layered, practical approach to reduce exposure from long‑term AWS credentials. It recommends discovery and risk assessment with CodeGuru Security, IAM Access Analyzer, credential reports, and Trusted Advisor, followed by enforcement using SCPs and RCPs to create a network data perimeter. The post also covers runtime protections (security groups, NACLs, Network Firewall, AWS WAF), automated rotation using Secrets Manager or rotation patterns, and threat detection via GuardDuty, all intended to bridge the gap until migration to temporary credentials is feasible.

🔒 Enterprises and SMBs have invested heavily in authentication and IAM, but those controls are only as strong as password management. Compromised credentials remain a leading cause of breaches while the average employee manages over 100 accounts, creating operational and compliance burdens. Dedicated password managers can cut support costs by up to 80% and lower incident rates, but success requires strong user adoption and integration with SSO, MFA, LDAP/AD and privileged access systems.

🔍 Amazon Managed Streaming for Apache Kafka (Amazon MSK) now exposes topic listings and detailed topic views directly in the MSK console and via three new public APIs. You can browse and search topics within a cluster, quickly review replication settings and partition counts, and drill into per-topic configuration and partition-level metrics without installing Kafka admin clients. The new ListTopics, DescribeTopic, and DescribeTopicPartitions APIs are available through the AWS CLI and SDKs; these features require MSK Provisioned clusters running Kafka 3.6+ and appropriate IAM permissions.

🧬 This guide demonstrates step-by-step fine-tuning of MedGemma (a Gemma 3 variant) to classify breast histopathology images using the public BreakHis dataset and a notebook-based workflow. It highlights practical choices—using an NVIDIA A100 40 GB, switching from FP16 to BF16 to avoid numerical overflows, and employing LoRA adapters for efficient training. The tutorial reports dramatic accuracy gains after merging LoRA adapters and points readers to runnable notebooks for reproducibility.

🔒 Google Cloud's Private NAT enables secure private-to-private translation to connect networks with overlapping or non-routable IPv4 ranges without running NAT appliances. As a managed Cloud NAT feature, it delivers high availability, automatic scalability, and centralized control for hybrid and multi‑VPC topologies. The post includes practical gcloud examples and Network Connectivity Center use cases to guide implementation.

🔒 This article by Stan Kaminsky reviews Athanasios Giatsos’ Security Analyst Summit 2025 talk and explains why malicious browser extensions are a major blind spot for organizations. It outlines how extensions can access cookies, local storage, proxy settings, clipboard and screen capture, enabling session and account theft, espionage, ad fraud and crypto theft, and why Manifest V3 reduces but does not eliminate risk. Practical controls described include formal extension policies and allowlists, disabling developer mode, version pinning and testing of updates, EDR and SIEM-based monitoring, and the use of specialized vetting tools for deeper analysis.

🚀 Google Cloud has launched the Production-Ready AI Learning Path, a free curriculum designed to guide developers from prototype to production. Drawing on an internal playbook, the series pairs Gemini models with production-grade tools like Vertex AI, Google Kubernetes Engine, and Cloud Run. Modules cover LLM app development, open model deployment, agent building, security, RAG, evaluation, and fine-tuning. New modules will be added weekly through mid-December.

🚀 Google Cloud introduces hands-on labs for Gemma 3, a family of lightweight open models offering multimodal (text and image) capabilities and efficient performance on smaller hardware footprints. The labs present two deployment paths: a serverless approach using Cloud Run with GPU support, and a platform approach using GKE for scalable production environments. Choose Cloud Run for simplicity and cost-efficiency or GKE Autopilot for control and robust orchestration to move models from local testing to production.

🔒 Implementation and certification of ISO standards or an ISMS frequently falter due to avoidable organizational and technical mistakes. The article outlines nine recurring issues — from weak management sponsorship and treating certification as a one‑off task to poor employee engagement, inadequate skills development, dishonest assessments, and insufficient follow‑up. For each pitfall it recommends practical remedies such as executive commitment, clear planning, targeted training, honest risk analysis, automation where appropriate, and adequate resourcing to make the management system functional and sustainable.

🧭 This post explains when to use sub-agents versus packaging agents as tools when building multi-agent systems with Google's Agent Development Kit (ADK). It contrasts agents-as-tools — encapsulated, stateless specialists invoked like deterministic function calls — with sub-agents, which are stateful, context-aware delegates that manage multi-step workflows. The guidance highlights trade-offs across task complexity, context sharing, reusability, and autonomy, and illustrates the patterns with data-agent and travel-planner examples to help architects choose efficient, scalable designs.

🔒 Most email blackmail attempts are mass scams that exploit leaked personal data and fear to extort cryptocurrency from victims. The article outlines common themes — fake device hacks, sextortion, and even fabricated death threats — and describes regional campaigns where attackers impersonate law enforcement in Europe and CIS states. It highlights detection signs and practical defenses, urging verification, use of reliable security solutions, and reporting threats through official channels.

🚀 This codelab walks developers through building a functional travel chatbot using Google's Gemini via the Vertex AI SDK. It explains how to connect a web frontend to Gemini, craft system instructions to shape assistant behavior, and enable function-calling to fetch live data such as geocoding and weather. No advanced ML expertise is required; the lab provides step-by-step code samples, API usage, and practical recommendations for iterating prompts so you can produce a working, production-ready demo.

🔁 This AWS Security Blog post by Samuel Folkes outlines a practical approach to migrating authorization from Open Policy Agent (OPA) and Rego to Amazon Verified Permissions using the Cedar policy language. It highlights key benefits: a fully managed service, reduced operational overhead, and significant performance gains. The article walks through schema design, common translation patterns (RBAC, ABAC, ReBAC), application integration changes, testing practices, and a phased deployment strategy to compare and validate behavior during migration.

🔒 A growing scam exploits WhatsApp’s screen-sharing feature to trick users into exposing verification codes, passwords and banking details during video calls. Attackers pose as banks, service providers or contacts, create urgency, then request screen sharing or the installation of remote-access apps like AnyDesk or TeamViewer. Once granted, they capture OTPs, install malware or coerce transfers, enabling account takeover and financial theft. Stay skeptical: never share screens, passwords or verification codes with strangers.

🧭 This guide summarizes Multi-Agent System (MAS) fundamentals and explains how Google’s Agent Development Kit (ADK) helps developers assemble cooperating agents to solve complex tasks. It outlines three agent roles — LLM Agents for reasoning, Workflow Agents for orchestration, and Custom Agents for bespoke logic — and describes hierarchical organization and orchestration patterns (sequential, parallel, loop). The post also reviews communication options (shared state, LLM delegation, explicit invocation) and points developers to samples and codelabs for rapid prototyping.

🔒 Modern browsers include sandboxing, but attackers exploit expected behaviors to bypass protections. A new on-demand webinar from Keep Aware outlines the top three browser-layer threats—credential theft, malicious extensions, and lateral movement—and explains why tools like CASBs, SWGs, and EDRs often miss these attacks. It shows how real-time browser visibility, policy enforcement, and behavioral detection extend protection into everyday user activity. The session is aimed at CISOs and security leaders seeking practical steps to close this blind spot.

🔍 In this episode of Unlocked 403, host Becks speaks with Alena Košinárová, a software engineer at ESET, to unpack the psychological tactics behind social engineering and why people fall for scams even when they know better. They discuss how public information and social media amplify attackers' effectiveness and outline practical measures to reduce exposure. The segment balances behavioral insight with clear, actionable defenses.

🔬 Google Cloud presents how researchers can accelerate scientific workflows by combining Gemini Enterprise with integrated HPC infrastructure. It showcases AI agents—like the Deep Research agent for literature synthesis and the Idea Generation agent for proposing and ranking hypotheses—alongside developer tooling such as Gemini Code Assist and Gemini CLI for code, debugging, and workflow automation. The platform pairs these capabilities with purpose-built VMs (H4D, A4, A4X) and Google Cloud Managed Lustre to scale simulations and analysis.