/
Navigation
Chronicles
Browse all articles
Explore
Semantic exploration
Research
Entity momentum
Nexus
Correlations & relationships
Story Arc
Topic evolution
Drift Map
Semantic trajectory animation
Posts
Analysis & commentary
Pulse API
Tech news intelligence API
Browse
Entities
Companies, people, products, technologies
Domains
Browse by publication source
Handles
Browse by social media handle
Detection
Concept Search
Semantic similarity search
High Impact Stories
Top coverage by position
Sentiment Analysis
Positive/negative coverage
Anomaly Detection
Unusual coverage patterns
Analysis
Rivalry Report
Compare two entities head-to-head
Semantic Pivots
Narrative discontinuities
Crisis Response
Event recovery patterns
Connected
Search: /
Command: ⌘K
Embeddings: large
TEXXR

Chronicles

The story behind the story

days · browse · Enter similar · o open

Way Security, which uses AI-driven automation and agentic workflows to help deploy IAM systems, raised a $20M seed from Insight Partners and Glilot Capital

Way Security raised a $20 million seed round from Insight Partners and Glilot Capital, CEO Yossi Barishev tells Axios Pro exclusively.

Axios Chris Metinko

Context & Ripple Effects

Way Security’s seed round arrives amid a cluster of AI-security companies targeting distinct parts of the security lifecycle: Prime Security’s agents for security design, Reclaim Security’s automated exposure remediation, and Beacon’s agentic platform.

Way focuses that automation on IAM deployment, an implementation layer that connects security policy to operating systems and workflows. Its $20M round gives the company backing from Insight Partners and Glilot Capital to pursue that narrower wedge.

First-order effects

  • Way Security gains $20M in seed financing to build and deploy its AI-driven IAM automation, while Insight Partners and Glilot Capital gain exposure to the company’s approach.
  • Organizations evaluating IAM implementations gain another vendor positioned around agentic workflows rather than purely conventional deployment services.

Second-order effects

  • IAM vendors and implementation partners may face pressure to show how their offerings reduce deployment effort and translate security requirements into working configurations, echoing Aryon Security’s policy-to-enforcement approach.
  • The round adds to investor attention on AI products that automate security operations across adjacent tasks, from design through remediation and deployment.

Third-order effects

  • If these products prove dependable, cybersecurity services could shift toward an AI-automated operating model in which smaller teams supervise more of the implementation and control-management work.
  • The durable differentiator may become security-control maturity per workflow: whether automated deployments remain enforceable, auditable, and usable after rollout, not simply whether an agent can complete setup.

The trend: AI-security startups are increasingly targeting discrete operational workflows, turning security deployment and control management into candidates for agent-assisted automation.