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Why Traditional Kubernetes Security Falls Short for AI Workloads

AI workloads on Kubernetes bring new security risks. Learn five principles—zero trust, observability, and policy-as-code—to protect distributed AI pipelines ...

Ratan Tipirneni | October 22, 2025 | AI infrastructure, AI security, AI Workloads, cloud native AI, cloud native security, container security, data protection, DevSecOps, edge AI, GPU workloads, KubeCon 2025, kubernetes, Kubernetes observability, Kubernetes security, microsegmentation, multi-cluster security, policy as code, runtime protection, Spectro Cloud report, zero-trust

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Building FinOps With k0rdent Open Source

Learn how open-source k0rdent and KOF enable platform teams to build custom FinOps solutions with predictive cost forecasting and real-time savings insights ...

Satyam Bhardwaj | October 9, 2025 | AI-driven FinOps, cloud cost optimization, cloud financial management, cloud utilization optimization, cloud-native FinOps framework, cluster cost reduction, FinOps Agent, FinOps pipeline, Grafana dashboards, idle resource detection, k0rdent, k0rdent MultiClusterService, KOF, Kubernetes automation, Kubernetes cost visibility, Kubernetes FinOps, Kubernetes monitoring, Kubernetes observability, Kubernetes scalability, multi-cluster Kubernetes management, open-source FinOps tools, OpenTelemetry, predictive cost forecasting, Prometheus metrics, time series forecasting, TOTO model

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From Experimentation to Production: Why Inference Is the Defining Layer of AI

4 June 2026

From Experimentation to Production: Why Inference Is the Defining Layer of AI

The AI Reality Check – Operationalizing for Business Value

27 May 2026

The AI Reality Check – Operationalizing for Business Value

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27 May 2026

AI in DevOps: An Enterprise Reality Check

21 May 2026

AI in DevOps: An Enterprise Reality Check

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35 Million Lines, Zero Build-Breakers: How Adyen Scaled DevSecOps

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How to Conduct AI-Native Bug Discovery & Triage

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18 June 2026

Toxic Flows: When Your Agent Skill Becomes a Supply Chain Attack

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Executive Security Survey

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In the past 12 months, has your team been involved in detecting, investigating, or remediating a cybersecurity incident that originated from a senior leader's (or senior leader's family member's) personal device, home network, or personal online account?*
- Yes, multiple times
- Yes, at least once
- No, but we have formal responsibility to do so
- No, this is not part of our team's scope

When a security incident targeting a senior leader or senior leader's family member originates outside the physical and digital corporate perimeter, how does your team typically become aware of it? (Select one)*
- The executive or a family member reports it directly
- Our corporate security tools detect anomalous activity that we trace back to a personal source
- A third-party service or vendor alerts us
- We discover it during routine threat intelligence monitoring
- We usually don't find out until there is a downstream corporate impact
- Other

What are the most common threat vectors your team has encountered in incidents targeting senior leaders or their families outside the corporate environment? (Select up to three)*
- Phishing or smishing (email/SMS) to personal accounts
- Credential harvesting or account takeover of personal accounts
- AI-generated impersonation or deepfake targeting the executive or family members
- Compromise of the executive's home network or personal devices
- Exploitation of personal information exposed in data brokers or dark web leaks
- Social engineering of family members to reach the executive
- Sextortion, catfishing, or reputational extortion

On average, how many total staff hours does your team spend investigating and remediating any one incident that originates from a senior leader's personal digital life? Including any downstream corporate impact in your estimate. (Select one)*
- Fewer than 4 hours
- 4–10 hours
- 11–20 hours
- More than 20 hours
- We have not been able to estimate this

Which of the following challenges has your team experienced when responding to a security incident involving a senior leader's personal digital life? (Select all that apply)*
- Navigating legal or privacy concerns when accessing the executive's personal data
- Lack of visibility in personal devices, accounts, or home networks
- Reluctance or resistance from the executive or their family to cooperate
- No formal incident response playbook covering non-corporate assets
- Pulling senior security staff away from higher-priority corporate security work
- Uncertainty about whether the incident creates corporate regulatory exposure
- Difficulty coordinating with external vendors or service providers

Does your organization's current incident response plan include formal, documented procedures for handling security incidents on assets not owned or managed by the corporation? (Select one)*
- Yes, we have specific documented procedures for non-corporate assets
- We have informal or ad hoc processes, but nothing formally documented
- No, our IR plan only covers corporate-owned assets
- Don't know

What is the most likely way your security operations would change if an external service could handle detection, investigation, and remediation of security incidents targeting senior leaders' personal digital lives—without involving your internal team or requiring access to executives' personal data? (Select one)*
- It would allow our team to increase focus on corporate priorities
- It would help resolve corporate legal and privacy concerns
- It would be helpful but otherwise not meaningfully change our operations
- We would be unlikely to adopt an external service for this purpose

How might such an external service (that doesn't involve your internal team or require access to executives' personal data) change your security operations burden? (Select one)*
- It would significantly reduce the operational burden
- It would moderately reduce the burden
- It would not reduce or increase the burden
- It would moderately increase the burden
- It would significantly increase the burden
- Don't know

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