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Overview
Secure AI workloads and agents across every environment. Complete visibility, policy enforcement, and audit-ready control.
News
The Safest Place to Run an AI Agent Is On a Cluster That Doesn't Trust It
Every organization running AI agents has already made a hosting decision. Most made it by accident. The sales team switched on the agent built into their CRM. Engineering is piloting a coding agent in a vendor's cloud. Someone on the data team deployed a
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Report
AI Red Team Agents Automate Attacks on your AI Agents. Runtime Policies Automate their Defense.
The AI red teaming market grew up fast this year. OpenAI bought Promptfoo, Cisco and Microsoft shipped automated attack suites, and a seed-stage startup publicly compromised 50 of 55 live customer service bots. These platforms find real problems at a scal
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Report
You've Been Running a Kubernetes Security Model in NSX and Didn't Even Know It
One of the blockers to moving VMs off vSphere and onto Kubernetes is losing NSX and the protection it provides. Security teams that have spent years building out distributed firewall policy look at Kubernetes and are, quite understandably, alarmed by the
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Report
The New MCP Headers Are a Gift to Gateways
In short, buried in the transport section of the MCP 2026-07-28 release candidate are three changes that matter more to infrastructure teams than to anyone else: mandatory Mcp-Method and Mcp-Name headers, cache-control-style ttlMs and cacheScope fields, a
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Report
Meet Tigera Lynx: The New Way to Control AI Agents
Meet Tigera Lynx, the new tool that helps security teams manage and protect AI agents in Kubernetes without changing a single line of agent code…
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Technologies
Tech DNA
Python
Go
BentoML
PyTorch
TensorFlow
ClickHouse
Google BigQuery
Snowflake
AWS
Azure
GCP
Claude
LLM
AI/ML
Python
Kubernetes
AI Agents
eBPF
Claude
Claude Code
RAG
ClickHouse
Anomaly Detection
BentoML
Fine-tuning
Function Calling
MLFlow
Prompt Engineering
PyTorch
Scikit-learn
Spark
TensorFlow
Hallucination
LLM
Synthetic Data
Recommender Systems
Time Series Forecasting
Google BigQuery
Snowflake
CI/CD
Docker
Prometheus
AWS
Azure
GCP
Other
Go
Calico
CVE
Threat Modeling
A/B Testing
Stack modernity
80/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
Kubernetes
4 jobs
Required
$240k
+34% vs market
Calico
4 jobs
Required
$240k
+15% vs market
AI Agents
3 jobs
Required
$240k
+9% vs market
eBPF
3 jobs
Required
$240k
-4% vs market
Python
3 jobs
Required
Claude
2 jobs
Optional
ClickHouse
2 jobs
Required
Claude Code
2 jobs
Optional
Salary medians are calculated from this company's open jobs and compared with the market.
Industry adoption
Python
21%
CI/CD
18%
AWS
17%
Docker
15%
Kubernetes
15%
GCP
13%
Share of companies in the same industry that use each technology.
Stack changes
Time Series Forecasting
Aug 2026
Recommender Systems
Aug 2026
A/B Testing
Aug 2026
Threat Modeling
Aug 2026
Go
Aug 2026
GCP
Aug 2026
CVE
Aug 2026
Azure
Aug 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.
Salary insights
Compensation ranges based on this company's open jobs
Median
$240k
Typical range
$240k
Open positions
1
1
Jobs
Principal
100%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Principal | 1 | $240k | $240k |
Highest paying role
Principal Product Manager
$240k
Normalized to USD per year
Growth
Hiring Momentum
38/100
Slowing
Open positions
4
0 opened / 0 closed in 30 days
ATS activity
Every ~2 days
08/31/2026
Hiring Dynamics
0%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
AI/ML
25% ▲
QA
25% ▲
Security
25% ▼
Product
25% ▲
Activity Timeline
Added Threat Modeling to stack
Aug 2026
Added Go to stack
Aug 2026
Added GCP to stack
Aug 2026
Added CVE to stack
Aug 2026
Added Azure to stack
Aug 2026
Added AWS to stack
Aug 2026
Added Synthetic Data to stack
Aug 2026
Added RAG to stack
Aug 2026
Added Prometheus to stack
Aug 2026
Added LLM to stack
Aug 2026
Added Hallucination to stack
Aug 2026
Added Docker to stack
Aug 2026
Jobs
≈ $112k – $234k per year (Estimated) • In office • 5+ years exp • Vancouver
Python
ClickHouse
Google BigQuery
Snowflake
AI/ML
AI Agents
Anomaly Detection
BentoML
Claude
Claude Code
Fine-tuning
Function Calling
MLFlow
Prompt Engineering
PyTorch
Scikit-learn
Spark
TensorFlow
Recommender Systems
Time Series Forecasting
RAG
DevOps
eBPF
Kubernetes
Cybersecurity
Calico
Analytics
A/B Testing
Apply
≈ $76k – $165k per year (Estimated) • In office • 5+ years exp • Vancouver
Python
ClickHouse
AI/ML
AI Agents
Claude
Claude Code
Hallucination
LLM
RAG
Synthetic Data
DevOps
CI/CD
Docker
eBPF
Kubernetes
Prometheus
Cybersecurity
Calico
Apply
$220k – $240k per year • In office • 8+ years exp • San Francisco
AI Agents
DevOps
eBPF
Kubernetes
Cybersecurity
Calico
Apply
≈ $93k – $190k per year (Estimated) • In office • 5+ years exp • Vancouver
Go
Python
AWS
Azure
GCP
Kubernetes
Cybersecurity
Calico
CVE
Threat Modeling
Apply

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