All news with #how to tag

🧰 The Google Cloud samples team describes building a specialized end-to-end system that uses Gemini on Vertex AI and Genkit to produce production-ready educational code samples across many languages and products. Their architecture separates generation, validation, and delivery so LLM outputs are combined with deterministic automations, linters, unit tests, and human review. The post presents seven practical technical takeaways—decomposition, determinism, precise prompts, vetted evaluation, scaled downstream processes, end-to-end testing, and solid engineering practices—that drove reliable, scalable sample generation.

🛡️ Breach & Attack Simulation (BAS) tools automate validation of security controls by emulating adversary tactics and mapping those behaviors to frameworks such as MITRE ATT&CK or the Cyber Kill Chain. BAS focuses on verifying detection and prevention capabilities across endpoints, networks, mail gateways and identity systems rather than discovering unknown vulnerabilities. When evaluating products, prioritize realistic, customizable scenarios, scalable automated testing, clear reporting, integration with existing tooling, and vendor support or managed options.

🔐 Attackers often build highly effective password lists without AI by harvesting organization-specific language from public websites. Tools like CeWL crawl corporate pages to extract terms that users recognize, which attackers then mutate into plausible passwords. This technique explains guidance in NIST SP 800-63B and shows why blocking context-derived and breached passwords is essential.

🛡️ Top CISOs are cutting MTTR and reducing SOC burnout by making sandbox execution the first investigative step. By automating triage and pairing automation with live, interactive analysis, teams resolve routine alerts faster and escalate less. Solutions like ANY.RUN deliver runtime evidence, extract IOCs, and produce concise reports so analysts act decisively without adding headcount. The result: predictable workloads, fewer decision points, and measurable gains in throughput and SLA performance.

🔍 This article explains how modern deepfakes are created, deployed, and detected in real-world scams, and why virtually anyone can be a target. It describes common visual, auditory, and behavioral signs—lighting and lip-sync errors, unnatural blinking, electronic vocal tones, and awkward gestures—and notes attackers use tools from Telegram bots to commercial services like HeyGen and ElevenLabs. Practical advice includes ending suspicious chats, verifying identities via alternate channels, agreeing a family codeword, tightening privacy on photos and recordings, enabling strong account security, and using content-analyzer services to flag AI-generated media.

🔍 The John Lewis Partnership’s platform team redefined how it measures the value of its internal developer platform, moving beyond simple tenant counts. They began with lead-time metrics for service creation, onboarding and first-customer deliveries, then adopted DORA metrics and a Technical Health score to capture operational quality and resilience. Combining telemetry with developer-experience feedback helped prioritise paved roads, automate change handling and simplify security assurance to reduce friction and speed delivery.

🔍 John Lewis moved beyond simple adoption counts to measure whether its internal developer platform actually delivered value. Initially the team tracked practical lead-time metrics — Service Creation Lead Time, Onboarding Lead Time, and First Customer Lead Time — to show speed to production and prioritize improvements. Over time they adopted DORA metrics, centralized telemetry in BigQuery and dashboards, automated change handling, and introduced a Technical Health score to guide investments and reduce developer friction.

🔍 John Lewis Partnership outlines a pragmatic approach to selecting monitoring metrics for its developer platform, stressing that impressive numbers alone don't prove platform health. They pair objective DORA benchmarks with recurring qualitative engineer feedback via DX, and track feature adoption and technical hygiene through a custom Backstage plugin. Individual checks run as small jobs, results land in BigQuery, and insights are surfaced as aggregated views, per-team tasks, and leaderboards to drive targeted improvements.

🔐 The article provides a practical, technical roadmap for eliminating passwords in hybrid Active Directory and Microsoft Entra ID environments. It emphasizes the prerequisite triangle of cloud Kerberos trust, device registration, and Conditional Access, then compares architectural choices like Windows Hello for Business, FIDO2 keys, and phone sign-in. The author presents phased migration steps, common troubleshooting patterns, and recovery best practices to help organizations move securely toward Zero Trust.

🕒 The opening moments after detection — often referred to as the first 90 seconds — determine whether an incident becomes manageable or spirals out of control. Responders must quickly decide what to preserve, what to examine first, and whether a single affected host reflects broader compromise. Prioritize evidence of execution and retain backward telemetry rather than immediately restoring services. Consistent discipline, environment knowledge, and repeatable procedures are what let teams scale investigations with confidence.

🧭 Antigravity and Gemini CLI offer two complementary approaches for running agent-driven workflows. Antigravity delivers an approachable, graphical experience with an Agent Manager, in-browser application views, guided walkthroughs, and a native debugger for inspecting stack traces. Gemini CLI is terminal-first, installs via npm (npm install -g @google/gemini-cli, requires Node.js), supports headless/CI-friendly execution, and can call local tools like gh or gcloud. Both are extensible with MCP and Agent Skills, and both provide generous free tiers so teams can evaluate which workflow best fits their needs.

🔍This live session breaks down practical choices for modern SOCs, led by Kumar Saurabh (CEO, AirMDR) and Francis Odum (CEO, SACR). Expect clear guidance on when to build, when to buy, and how to automate without losing control. The webinar features a real customer case study, a side‑by‑side look at SOC models, and a ready checklist to reduce tool sprawl and improve outcomes. Register to simplify operations and make every tool decision count.

📚 This free course from Google Cloud and DeepLearning.ai teaches practical use of Gemini CLI, guiding users through installation, context management, extensibility, and specialized workflows. It is designed for developers and non-developers who want to integrate the CLI into daily tasks such as data analysis, content generation, and personalized learning. The curriculum runs in under two hours and provides hands-on lessons covering GEMINI.md, memory features, MCP servers, and extensions.

🔒 Brand impersonation—fake websites, domains, emails, ads, and social pages—is an increasingly common tactic used to harvest credentials, steal payments, distribute malware, and defraud customers and partners. Attackers exploit lookalike domains, SEO and paid ads, and phishing messages to lure victims; even imperfect forgeries can inflict financial, operational, and reputational harm. Organisations should monitor clones, maintain a visible trust centre, pursue rapid takedowns, block malicious domains internally, and coordinate legal, IT, and communications teams for fast response.

🤖 This recap of the Agent Factory holiday special summarizes practical guidance on model fine-tuning, with a focus on reinforcement learning (RL) and Google’s TPU infrastructure. Hosts Shir Meir Lador and Don McCasland speak with Kyle Meggs from the TPU Training Team about when to fine-tune, the distinction between pre‑training, SFT, and RL, and why specialized workloads benefit from hosted solutions like MaxText on TPUs. The post also demonstrates a GRPO demo using Pathways, vLLM, and Tunix components to show RL at scale.

🛡️As AI copilots and assistants are embedded into daily work, recent incidents show the primary risk lies in surrounding workflows rather than in the models themselves. Malicious Chrome extensions that exfiltrated ChatGPT and DeepSeek chats and prompt injections that tricked an AI coding assistant into executing malware exploited integration contexts, not model internals. The piece advises mapping AI usage, applying least-privilege, enforcing middleware guardrails to scan outputs, and using dynamic SaaS platforms like Reco to detect and control risky workflows.

🔍 In 2026 many SOCs still rely on legacy workflows—manual sample reviews, static reputation checks, fragmented tooling, and frequent, avoidable escalations—that slow investigations and drive alert fatigue. The article recommends shifting to automation-optimized, behavior-focused operations using interactive sandboxes to detonate threats, surface rich behavioral indicators, and integrate results into SIEM, SOAR, and EDR. These changes can shorten MTTR, accelerate detection, and reduce Tier 1→Tier 2 escalations while enabling analysts to focus on high-priority response.

🔍 Terryn Valikodath, Senior Incident Response Consultant at Cisco Talos, describes a role that blends technical investigation with clear communication and proactive planning. He explains how his team balances developing incident response plans, running tabletop exercises and threat hunts with hands-on reactive investigations and remediation. Terryn highlights the reward of teaching through multi-day cyber range trainings and the satisfaction of helping organizations recover and build trust.

🔒 If you learn your personal or financial data is on the dark web, act quickly: cybercriminals use stolen PII, credentials, session cookies and payment details to commit account takeover, identity theft and fraud. Immediately change compromised passwords, enable MFA (prefer authenticator apps or hardware keys), sign out of all devices, scan for infostealer malware and contact your bank to freeze or reissue cards. For longer-term protection, freeze credit, tighten privacy settings, use email aliasing and a password manager, and enroll in monitoring services such as HaveIBeenPwned.

🔍 Hackensack Meridian Health used VPC Flow Logs and Flow Analyzer to obtain precise, end-to-end visibility of Cloud Interconnect traffic before a major Google Cloud network migration. They enabled VLAN-attachment flow logs, aggregated ingress/egress flows (IPs, ports, bytes, timestamps), and organized results into sankey diagrams mapping data center → region → VPC → application. This process revealed critical flows early and shortened incident detection to 3 minutes and resolution to 5 minutes, materially de-risking the cutover.