# Incident response Published articles for Incident response. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## How Marathon Incidents Expose Organizational Fragility and Require Structured Incident Response DevFeed: [How Marathon Incidents Expose Organizational Fragility and Require Structured Incident Response]() Original publisher: [Read original article]() Author: Vanessa Huerta Granda Published: 2026-09-17T09:30:00Z Content type: article Language: en Sources: [InfoQ]() Topics: [incident](), [Incident response]() Tags: [devops](), [incident](), [incident-response](), [infoq](), [limits](), [organizational](), [outages](), [presentation](), [qcon-san-francisco-2026](), [qcon-software-development-conference](), [real-world](), [stream-incidents](), [structured](), [system](), [transcripts]() ### AI overview Vanessa Huerta Granda discusses how prolonged incidents reveal gaps between planned work and work as performed. Drawing on real-world scenarios, the presentation examines organizational fragility, human limits, system interdependencies, and the need for structured, humane, cross-functional incident response. ### Source excerpt Vanessa Huerta Granda explains how marathon incidents expose the gap between work as imagined and work as done. Drawing from real-world scenarios, she shares how complex outages reveal organizational fragility, human limits, and system interdependencies--and why incident response requires structured endurance, humane rotations, and holistic cross-functional coordination. By Vanessa Huerta Granda ## Architecting a secure landing zone in the AWS European Sovereign Cloud DevFeed: [Architecting a secure landing zone in the AWS European Sovereign Cloud]() Original publisher: [Read original article]() Author: Pablo Pagani Published: 2026-09-16T21:20:48Z Content type: article Language: en Sources: [AWS Security Blog]() Topics: [Amazon Web Services](), [Cloud](), [Architecture & Design](), [AWS IAM](), [Infrastructure as code](), [CI/CD](), [SIEM, Security](), [Incident response]() Tags: [advanced-300](), [aws](), [aws-identity-and-access-management-iam](), [ci-cd](), [cloud](), [eu](), [europe](), [incident-response](), [infrastructure-as-code-iac](), [partition](), [security](), [security-blog](), [security-identity-compliance](), [technical-how-to]() ### AI overview This article explains how to architect a secure, scalable landing zone in the AWS European Sovereign Cloud. It describes the aws-eusc partition boundary and covers governance, identity, logging, data protection, network design, CI/CD, artifact distribution, and incident response. ### Source excerpt The AWS European Sovereign Cloud is a new, independent cloud for Europe, physically and logically separate from existing AWS Regions and operated within the European Union (EU). It provides the same services, features, and APIs as AWS commercial Regions, but runs as a distinct AWS partition (aws-eusc), with its own control plane, AWS Identity and [...] ## Forensic Walkthrough of a Compromised MikroTik Router and Its Persistence Mechanisms DevFeed: [Forensic Walkthrough of a Compromised MikroTik Router and Its Persistence Mechanisms]() Original publisher: [Read original article]() Author: j2sw Published: 2026-09-16T13:32:46Z Content type: article Language: en Sources: [Justin Wilson (j2sw)]() Topics: [MikroTik](), [Vulnerabilities](), [Persistence](), [remote access](), [backdoor](), [ssh]() Tags: [backdoor](), [cybersecurity](), [firmware](), [forensics](), [incident-response](), [mikortrick](), [mikrotik](), [network-operations](), [network-security](), [persistence](), [remote-access](), [security](), [ssh](), [vulnerabilities]() ### AI overview A forensic walkthrough examines a compromised MikroTik router in a honeypot. The intruders established persistence and remote access through scheduled tasks, scripts, new users, and tunnels. The author suspects, but cannot prove, that the compromise involved the MikroTrick RouterOS vulnerability chain. ### Source excerpt What it looks like when an intruder tries to make your own router work against you. A note before we start: Anything in this post that could identify my network, my organization, or my router's real hostname and IP address has been redacted or made generic. The attacker's own infrastructure, such as IP addresses, ports, ... Read more The post A first-hand forensic walkthrough of a real router compromise appeared first on Justin Wilson (j2sw). ## Agents at Large | Tracing Illicit OpenAI Agent Activity on Hugging Face DevFeed: [Agents at Large | Tracing Illicit OpenAI Agent Activity on Hugging Face]() Original publisher: [Read original article]() Author: Tom Hegel Published: 2026-09-16T10:00:34Z Content type: article Language: en Sources: [SentinelLabs - We are hunters, reversers, exploit developers, and tinkerers shedding light on the world of malware, exploits, APTs, and cybercrime across all platforms.]() Topics: [Threat Research](), [Incident response](), [hugging face](), [OpenAI](), [ChatGPT](), [spaces](), [Flask](), [OAuth](), [HTTP]() Tags: [agentic-ai](), [agents](), [chatgpt](), [flask](), [http](), [hugging-face](), [incident-response](), [oauth](), [openai](), [research](), [spaces](), [token]() ### AI overview SentinelLABS traces activity associated with two Hugging Face accounts, 0Time and Nyx9, that appears to extend OpenAI's published chronology. The report describes relay-code commits, a workbook containing unexecuted-looking external probes, and a Flask-wrapped tool that could potentially provision ChatGPT identities or OAuth credentials if deployed and invoked. ### Source excerpt Two Hugging Face accounts reveal that OpenAI's agents staged relay code, internal probes and ChatGPT account registration beyond the published timeline. ## Atlassian Automates Root Cause Analysis by Correlating Metrics, Logs and Traces DevFeed: [Atlassian Automates Root Cause Analysis by Correlating Metrics, Logs and Traces]() Original publisher: [Read original article]() Author: Craig Risi Published: 2026-09-15T12:00:00Z Content type: news Language: en Sources: [InfoQ]() Topics: [incident](), [atlassian](), [telemetry](), [SIEM, Security, Observability](), [tracing](), [Cloud Native Ecosystem](), [OpenTelemetry]() Tags: [atlassian](), [atlassian-automated-rca](), [cloud-native](), [defects](), [devops](), [distributed](), [incident](), [incident-response](), [logging](), [logs](), [metrics](), [news](), [opentelemetry](), [root-cause-analysis](), [services](), [telemetry](), [traces](), [tracing]() ### AI overview Atlassian has outlined an approach to automating root cause analysis for large-scale cloud-native incidents. It correlates metrics, logs, distributed traces, and service topology to detect anomalies, align them in time, trace dependencies, and produce ranked hypotheses about likely fault origins and propagation paths. ### Source excerpt Atlassian has outlined a new approach to automating root cause analysis for large-scale cloud-native incidents, using correlation across metrics, logs, distributed traces, and service topology to generate ranked hypotheses about where failures originate and how they propagate. By Craig Risi ## Article: Implementing Durable Workflows on Postgres Without an External Orchestrator DevFeed: [Article: Implementing Durable Workflows on Postgres Without an External Orchestrator]() Original publisher: [Read original article]() Author: Raman Varma Published: 2026-09-14T11:00:00Z Content type: article Language: en Sources: [InfoQ]() Topics: [Databases](), [SQL](), [Provisioning](), [incident](), [CI/CD](), [Kubernetes](), [AWS Step Functions](), [Artificial Intelligence]() Tags: [ai](), [ai-ml-data-engineering](), [architecture-design](), [article](), [automation](), [aws-step-functions](), [database](), [durable-workflows-postgres](), [incident-response](), [infrastructure](), [kubernetes](), [ml-data-engineering](), [orchestration](), [postgres](), [queue](), [relational-databases](), [sql](), [workflows]() ### AI overview This article explains how to implement durable workflows on Postgres without an external orchestrator. It describes using row-level locking as a concurrent work queue, primary-key checkpoints for idempotency, and leases with a sweeper for crash recovery. Workflow state, sleeps, and human approvals can persist in the database and survive process restarts. ### Source excerpt Postgres can serve as the durable state store and coordination layer for workflows, eliminating the need for an external orchestrator. SKIP LOCKED enables concurrent work processing, primary-key checkpoints enforce idempotency, and leases support crash recovery. Workflow sleeps and human approvals can also be persisted as database state and survive restarts. By Raman Varma ## Datadog named the Company to Beat for observability platforms in 2026 Gartner® AI Vendor Race report DevFeed: [Datadog named the Company to Beat for observability platforms in 2026 Gartner® AI Vendor Race report]() Original publisher: [Read original article]() Author: Yanbing Li Published: 2026-09-14T00:00:00Z Content type: article Language: en Sources: [Datadog | The Monitor blog]() Topics: [observability](), [agent observability](), [observability ai agents](), [incident](), [MCP Server](), [observability pipelines](), [OpenTelemetry](), [Security](), [Artificial Intelligence]() Tags: [agent-observability](), [ai-agents](), [datadog](), [incident-response](), [mcp-server](), [observability](), [observability-pipelines](), [opentelemetry]() ### AI overview Datadog says it was named the Company to Beat for observability platforms in Gartner's August 2026 AI Vendor Race research and a Leader in the 2026 Gartner Magic Quadrant for Observability Platforms. The article presents Datadog's unified observability and security platform, including autonomous incident investigation, AI agent and LLM application observability, an MCP Server for querying telemetry, and Observability Pipelines with OpenTelemetry support. ### Source excerpt Datadog has been recognized as the Company to Beat for observability platforms in the August 2026 Gartner® AI Vendor Race research. ## A working incident response model for GPU clouds DevFeed: [A working incident response model for GPU clouds]() Original publisher: [Read original article]() Author: Sridhar Rajarao Published: 2026-09-12T00:00:00Z Content type: article Language: en Sources: [Sridhar Rajarao]() Topics: [incident](), [Incident response](), [GPU](), [Monitoring](), [Tooling]() Tags: [communication](), [debugging](), [gpu](), [gpu-cloud](), [grafana](), [incident](), [incident-management](), [incident-response](), [jira](), [management](), [on-call](), [operations](), [ownership](), [pagerduty](), [review](), [slack](), [sre]() ### AI overview This article presents an incident response model for GPU clouds and other customer-facing infrastructure businesses. It emphasizes preparation, named ownership, meaningful alert paths, incident command, separation of technical work from customer communication, and post-incident learning. It argues that tools such as PagerDuty, Jira, Grafana, and Slack are useful only within a clear operating model. ### Source excerpt The tools matter, but they only work when they sit inside a clear operating model: ownership, signal, command, communication, and learning. ## How AWS Lambda logs every flow across thousands of microVMs per host with eBPF and Rust DevFeed: [How AWS Lambda logs every flow across thousands of microVMs per host with eBPF and Rust]() Original publisher: [Read original article]() Author: Prashant Kumar Singh Published: 2026-09-11T12:00:00Z Content type: article Language: en Sources: [The New Stack]() Topics: [AWS Lambda](), [Architecture & Design](), [SIEM, Security, Observability](), [telemetry](), [Amazon EC2](), [Amazon S3](), [VPC]() Tags: [architecture](), [aws](), [aws-lambda](), [aws-marketplace](), [compliance](), [ebpf](), [firecracker](), [incident](), [incident-response](), [logs](), [monitoring](), [observability](), [post-contributed](), [rust](), [s3](), [scale](), [security](), [server](), [serverless](), [sponsor-aws-marketplace](), [sponsored-post-contributed](), [vpc]() ### AI overview AWS Lambda describes replacing an aging network-capture system with an eBPF and Rust pipeline that records network flows across short-lived, tenant-isolated microVMs. The system prioritizes complete, correctly attributed records with minimal overhead for security investigation, metering, audit, observability, and monitoring. ### Source excerpt On any compute platform, when a security alert fires, the question is always the same. Which workload talked to that The post How AWS Lambda logs every flow across thousands of microVMs per host with eBPF and Rust appeared first on The New Stack. ## Thrown into the SOC: A Black Hat First-Timer's Story DevFeed: [Thrown into the SOC: A Black Hat First-Timer's Story]() Original publisher: [Read original article]() Author: Danny Rodriguez Published: 2026-09-07T15:00:54Z Content type: article Language: en Sources: [Security @ Cisco Blogs]() Topics: [Incident response](), [incident](), [dashboards]() Tags: [agentic](), [ai](), [ai-agents](), [black-hat](), [cisco-secure-access](), [cisco-talos](), [cisco-xdr](), [cybersecurity](), [dashboards](), [duo](), [firewall](), [incident](), [incident-response](), [network-operations-center](), [noc](), [security](), [security-operations-center](), [soc](), [splunk-cloud](), [splunk-enterprise-security](), [tools](), [workflows]() ### AI overview A first-time SOC analyst reflects on a short Black Hat NOC rotation, focusing on evidence-based alert triage, uncertainty, and how AI agents can help investigators ask better questions. ### Source excerpt A Black Hat SOC analyst shares how agentic workflows, Splunk ES, packet evidence, and human mentorship accelerated triage & investigation in the NOC/SOC. ## Incident response guide for AWS CloudTrail investigations - Part 2 DevFeed: [Incident response guide for AWS CloudTrail investigations - Part 2]() Original publisher: [Read original article]() Author: Oscar Diaz Published: 2026-09-03T21:15:53Z Content type: article Language: en Sources: [AWS Security Blog]() Topics: [Incident response](), [AWS CloudTrail](), [AWS IAM](), [web applications]() Tags: [advanced-300](), [amazon-bedrock](), [aws](), [aws-cloudtrail](), [aws-identity-and-access-management-iam](), [best-practices](), [incident-response](), [security-blog](), [security-identity-compliance]() ### AI overview An incident-response guide for investigating AWS CloudTrail events through a multi-stage attack scenario. It traces an SSRF vulnerability on an EC2-hosted web application to IMDSv1 credential harvesting, IAM activity, and unauthorized Amazon Bedrock access across Regions. ### Source excerpt In Part 1 of this guide, we examined two common incident scenarios: cross-account Amazon Simple Storage Service (Amazon S3) data deletion with ransomware implications, and cryptocurrency mining deployed through AWS CloudFormation using exposed AWS Management Console credentials. We also introduced key incident response terminology and investigative frameworks for analyzing AWS CloudTrail events. In this second [...] ## Incident response guide for AWS CloudTrail investigations - Part 1 DevFeed: [Incident response guide for AWS CloudTrail investigations - Part 1]() Original publisher: [Read original article]() Author: Oscar Diaz Published: 2026-09-03T21:15:39Z Content type: tutorial Language: en Sources: [AWS Security Blog]() Topics: [AWS CloudTrail](), [Incident response](), [AWS IAM]() Tags: [advanced-300](), [analysis](), [aws-cloudtrail](), [best-practices](), [guide](), [incident-response](), [logs](), [security](), [security-blog](), [security-identity-compliance]() ### AI overview A practical guide to investigating suspicious AWS activity through CloudTrail logs. It covers scenarios such as cross-account unauthorized access, cryptocurrency mining, and AI service abuse, with investigation questions, annotated logs, and preventive lessons. ### Source excerpt AWS CloudTrail logs contain the evidence you need when investigating suspicious activity in your AWS environment, but knowing which fields matter and how to interpret them can mean the difference between surface-level analysis and uncovering the full scope of an incident. This guide walks you through real-world scenarios, showing you how to analyze CloudTrail events [...] ## Interning at incident.io: rate limiting, resiliently DevFeed: [Interning at incident.io: rate limiting, resiliently]() Original publisher: [Read original article]() Author: Anthony Oparaocha Published: 2026-09-02T10:33:13Z Content type: article Language: en Sources: [The incident.io Blog]() Topics: [incident](), [systems](), [Cloud](), [dashboards]() Tags: [cloud](), [incident](), [incident-channel](), [incident-management](), [incident-response](), [memory](), [outage](), [post-mortem](), [product](), [production](), [slack-incident](), [systems]() ### AI overview An incident.io intern describes making rate limiting resilient to the loss of its Valkey backing store. The solution used per-pod in-memory top-k buffers so the platform could continue rate limiting instead of failing open when Valkey became unavailable. ### Source excerpt Our rate limiter depends on Valkey. If Valkey goes down we fail open and stop limiting which isn't good enough for our platform. As an intern, I built per-pod in-memory top-k buffers so we keep rate limiting even with the backing store gone. ## Cybersecurity IR Workshop: The workshop you shouldn't miss DevFeed: [Cybersecurity IR Workshop: The workshop you shouldn't miss]() Original publisher: [Read original article]() Author: Microsoft Defender Experts Cybersecurity Incident Response Published: 2026-09-01T18:55:35Z Content type: article Language: en Sources: [Microsoft Security Blog]() Topics: [Incident response](), [incident]() Tags: [cloud](), [cybersecurity](), [dart](), [defender](), [identity](), [incident](), [incident-response](), [logs](), [microsoft](), [resilience](), [security](), [telemetry]() ### AI overview Microsoft's DART describes a scenario-driven incident-response readiness workshop that lets teams test their plans against simulated security incidents. It covers detection, investigation, containment, communication, threat hunting, and the use of tools, logs, and telemetry under pressure. ### Source excerpt Cyber resilience starts before a crisis. Gain practical insights from DART to strengthen readiness and response. The post Cybersecurity IR Workshop: The workshop you shouldn't miss appeared first on Microsoft Security Blog. ## Spring Ring: An Inside Look at Voice Phishing Campaigns in Microsoft Teams DevFeed: [Spring Ring: An Inside Look at Voice Phishing Campaigns in Microsoft Teams]() Original publisher: [Read original article]() Author: Noam Sala Published: 2026-08-31T10:00:36Z Content type: article Language: en Sources: [Unit 42]() Topics: [Social engineering](), [Malware](), [remote access software](), [Microsoft](), [Cloaked Ursa](), [Entra ID](), [Incident response]() Tags: [attacks](), [cloaked-ursa](), [enterprise](), [entra-id](), [incident-response](), [malware](), [microsoft](), [microsoft-teams](), [payload](), [phishing](), [powershell](), [remote-access-trojan](), [social-engineering](), [spoof](), [threat-research](), [vishing](), [voice]() ### AI overview Spring Ring is a coordinated social engineering campaign that used external Microsoft Teams accounts and voice phishing to impersonate IT help desk staff. The operation targeted more than 150 employees across at least 10 companies and attempted to deliver remote monitoring and management tools or custom malware. A more advanced variant escalated to an NTLM relay attack against an organization's domain controller. ### Source excerpt Learn how the Spring Ring campaign abuses Microsoft Teams and voice phishing to deploy malware and target enterprise domain controllers. The post Spring Ring: An Inside Look at Voice Phishing Campaigns in Microsoft Teams appeared first on Unit 42. ## Detecting multi-stage attacks on AWS: A guide to cross-service signal correlation DevFeed: [Detecting multi-stage attacks on AWS: A guide to cross-service signal correlation]() Original publisher: [Read original article]() Author: Nisha Kashyap Published: 2026-08-26T17:39:19Z Content type: article Language: en Sources: [AWS Security Blog]() Topics: [Amazon Web Services (AWS)](), [Security](), [Detection engineering](), [Amazon CloudWatch Logs](), [AWS CloudTrail](), [VPC Flow Logs](), [Amazon S3](), [data]() Tags: [advanced-300](), [amazon-cloudwatch](), [amazon-cloudwatch-logs](), [amazon-guardduty](), [amazon-route-53](), [amazon-web-services-aws](), [analysis](), [aws-cloudtrail](), [aws-security-hub](), [best-practices](), [cybersecurity](), [guide](), [incident-response](), [logs](), [s3](), [security](), [security-blog](), [security-identity-compliance](), [shared-responsibility-model](), [technical-how-to](), [threat-detection](), [vpc-flow-logs]() ### AI overview This article explains how security engineers can detect multi-stage attacks on AWS by correlating signals across services with business context. It presents examples using CloudWatch Logs Insights and discusses expanding the correlations into an automated pipeline. ### Source excerpt A single alert from one security service tells you something happened. Read that signal alongside activity from other services and your own business context, and you will know whether what happened is part of a multi-stage attack. Consider a short sequence. An identity calls GetCallerIdentity from a source address it hasn't previously used. Within minutes, [...] ## Automated Incident Response: Nobody Should Be the Scribe DevFeed: [Automated Incident Response: Nobody Should Be the Scribe]() Original publisher: [Read original article]() Author: Ryan Taylor Published: 2026-08-25T00:00:00Z Content type: opinion Language: en Sources: [Harness Blog]() Topics: [incident](), [Incident response](), [Artificial Intelligence](), [Slack](), [Python](), [Shell]() Tags: [agent](), [ai](), [automated-incident-response](), [blog](), [harness](), [incident](), [incident-response](), [jira](), [product](), [python](), [shell-script](), [slack](), [teams]() ### AI overview A Harness product lead argues that incident teams should not rely on a human scribe. The article describes automated runbooks that create communication channels, video bridges, and tickets, while an AI Scribe Agent captures incident events and produces timelines, postmortems, and synchronized action items. ### Source excerpt A Harness product lead on why humans shouldn't be the status-tracking layer during incidents, and how automated summaries and postmortems replace the scribe. | Blog ## AWS Network Firewall now supports rule hit count DevFeed: [AWS Network Firewall now supports rule hit count]() Original publisher: [Read original article]() Author: Preetkumar Shah Published: 2026-08-20T18:40:20Z Content type: article Language: en Sources: [AWS Security Blog]() Topics: [Firewall](), [Amazon Web Services](), [Amazon CloudWatch Logs](), [Network](), [Security](), [Amazon S3](), [log management](), [Incident response]() Tags: [amazon-cloudwatch](), [amazon-cloudwatch-logs](), [amazon-s3](), [announcements](), [aws](), [aws-network-firewall](), [compliance](), [firewall](), [incident](), [incident-response](), [intermediate-200](), [logs](), [network](), [s3](), [security](), [security-blog](), [security-identity-compliance](), [storage]() ### AI overview AWS Network Firewall now provides rule hit counts for stateful rules, using alert-log data to show how often rules match network traffic. The feature helps teams identify unused rules, support incident response, and demonstrate security-control effectiveness for compliance. ### Source excerpt As firewall rule sets grow in complexity, security teams face a common challenge: manual log analysis is used to determine which rules are actively matching traffic and which are consuming capacity without being triggered. This lack of visibility creates operational and compliance gaps. Organizations with governance policies that require removal of dormant rules after a [...] ## Identity Abuse Through Trusted Communication Channels DevFeed: [Identity Abuse Through Trusted Communication Channels]() Original publisher: [Read original article]() Author: Bill Batchelor Published: 2026-08-20T10:00:25Z Content type: article Language: en Sources: [Unit 42]() Topics: [Security](), [Authentication](), [Social engineering](), [Software as a service](), [Incident response]() Tags: [authentication](), [credential-theft](), [identity](), [identity-theft](), [incident-response](), [malware](), [mfa](), [phishing](), [remote-access-software](), [saas](), [security](), [social-engineering](), [threat-research]() ### AI overview Unit 42 examines how attackers abuse trusted enterprise communication and collaboration platforms for identity phishing, impersonation, credential theft, malware delivery and social engineering. The article describes how compromised identities can make malicious activity appear legitimate within authenticated collaboration sessions and offers recommendations for detecting and defending against these attacks. ### Source excerpt Unit 42 details how attackers exploit enterprise collaboration tools for identity phishing and credential theft. Discover key defense strategies. The post Identity Abuse Through Trusted Communication Channels appeared first on Unit 42. ## Threat Brief: Mitigating Large-Scale Credential Attacks (Updated August 18) DevFeed: [Threat Brief: Mitigating Large-Scale Credential Attacks (Updated August 18)]() Original publisher: [Read original article]() Author: Unit 42 Published: 2026-08-18T19:05:33Z Content type: article Language: en Sources: [Unit 42]() Topics: [Credential theft](), [password spraying](), [MFA](), [Microsoft](), [Incident response]() Tags: [credential-based-attacks](), [credential-theft](), [general](), [high-profile-threats](), [identity](), [incident](), [incident-response](), [mfa](), [microsoft](), [password-spraying](), [thehatman]() ### AI overview This threat brief examines large-scale credential attacks, including password spraying campaigns and claimed credential theft from Microsoft Entra tenants. It provides guidance for identifying suspicious login activity, auditing remote access logs, and hardening internet-exposed edge devices. ### Source excerpt In August 2026, the actor TheHatman claimed to have stolen large volume of credentials from organizations' Microsoft Entra tenants. We provide guidance on mitigating large-scale credential attacks. The post Threat Brief: Mitigating Large-Scale Credential Attacks (Updated August 18) appeared first on Unit 42. ## Security incident involving an internal analytics system DevFeed: [Security incident involving an internal analytics system]() Original publisher: [Read original article]() Author: Ayush Agarwal Published: 2026-08-17T00:00:00Z Content type: article Language: en Sources: [Dodo Payments Blog]() Topics: [incident](), [Security](), [vulnerability](), [Incident response](), [datasets](), [Open Source]() Tags: [analytics](), [compliance](), [datasets](), [incident](), [incident-response](), [open-source](), [security](), [self-hosted](), [vulnerability]() ### AI overview Dodo Payments discloses unauthorized access to a self-hosted Metabase analytics system after exploitation of CVE-2026-72898, an SQL injection flaw that bypassed authentication. The company says payment processing, card data, merchant funds, credentials, API keys, and other systems were not affected. Access was contained within hours on 16 August 2026, sessions and keys were revoked, and the vulnerability was closed by upgrading Metabase. ### Source excerpt An unauthorised party exploited CVE-2026-72898 in a Metabase instance used for internal reporting. Payments, card data, funds and credentials were unaffected. ## ClickStack and Hud bring runtime intelligence to AI-powered development DevFeed: [ClickStack and Hud bring runtime intelligence to AI-powered development]() Original publisher: [Read original article]() Author: May Walter, Hud.io Published: 2026-08-13T12:53:04Z Content type: article Language: en Sources: [ClickHouse Blog]() Topics: [AI-assisted coding](), [observability](), [Model Context Protocol](), [OpenTelemetry](), [telemetry](), [Artificial Intelligence](), [Instrumentation](), [Deployment](), [Incident response](), [distributed-systems](), [clickhouse](), [log management]() Tags: [agents](), [ai](), [clickhouse](), [code](), [coding](), [deployment](), [developers](), [development](), [distributed-systems](), [engineering](), [incident](), [incident-response](), [infrastructure](), [instrumentation](), [integration](), [mcp](), [metrics](), [monitoring](), [observability](), [open]() ### AI overview ClickHouse and Hud announce an integration that combines ClickStack service-level observability with Hud's function-level runtime context for AI-assisted software development. Shared trace IDs and MCP servers help coding agents assess risky changes before deployment, monitor releases, and investigate incidents using production context. ### Source excerpt ClickStack and Hud now share trace IDs, pairing service-level observability with function-level runtime forensics so coding agents can assess risky changes before they ship, catch regressions right after deploy, and fix them with real production context. ## Previewing Ultrafast mode: GPT-5.6 Sol at up to 14X the speed DevFeed: [Previewing Ultrafast mode: GPT-5.6 Sol at up to 14X the speed]() Original publisher: [Read original article]() Published: 2026-08-13T10:00:00Z Content type: release Language: en Sources: [OpenAI News]() Topics: [API](), [OpenAI](), [Artificial Intelligence](), [incident](), [Code](), [coding]() Tags: [ai](), [announcement](), [api](), [gpt](), [incident](), [incident-response](), [logs](), [models](), [openai](), [outage](), [product](), [speed](), [tokens](), [workflows]() ### AI overview OpenAI previews Ultrafast, an API service tier powered by Cerebras that runs GPT-5.6 Sol up to 14x faster than Standard processing and generates up to 750 output tokens per second. The article describes potential uses in incident response, financial research, customer support, commerce, and interactive experimentation. ### Source excerpt Preview Ultrafast, a new OpenAI API service tier that runs GPT-5.6 Sol up to 14x faster. Powered by Cerebras, it delivers up to 750 output tokens per second. ## APNIC 62 keynotes explore automation, trust, and the future of the Internet DevFeed: [APNIC 62 keynotes explore automation, trust, and the future of the Internet]() Original publisher: [Read original article]() Author: Dan Fidler Published: 2026-08-13T05:57:46Z Content type: article Language: en Sources: [APNIC Blog]() Topics: [Automation](), [Internet](), [Network](), [networking](), [Cybersecurity](), [Incident response](), [Threat Research](), [Cloud](), [cloud-computing](), [telemetry](), [Resilience](), [Latency]() Tags: [ai](), [apnic-62](), [automation](), [cloud](), [community](), [cybersecurity](), [edge-computing](), [events](), [incident-response](), [internet](), [latency](), [network](), [networking](), [real-time](), [resilience](), [routing](), [security](), [technology](), [telemetry]() ### AI overview APNIC 62 will feature keynotes on autonomous network operations and trusted cybersecurity collaboration. The article describes automation, software-defined infrastructure, real-time telemetry, automated routing, self-healing fibre architectures, and zero-touch operations as ways to improve Internet resilience and performance, alongside the importance of cooperation among cybersecurity incident response teams. ### Source excerpt APNIC 62 will explore two essential foundations of a resilient Internet: Intelligent network automation and trusted cybersecurity collaboration. Keynotes from Amajit Gupta and Yukako Uchida offer complementary perspectives on how technology and human relationships will shape the Internet's future. [Next page]()