NewWorks with Claude, Cursor, Codex & More

The Seezo AI Plugin: Your security standards, built into every coding agent

Brings security design reviews, your organization's security guidance, and implementation validation — through skills and an MCP that let developers ship securely from Claude Code, Cursor, and Codex.

NewWorks with Claude, Cursor, Codex & More

The Seezo AI Plugin: Your security standards, built into every coding agent

Brings security design reviews, your organization's security guidance, and implementation validation — through skills and an MCP that let developers ship securely from Claude Code, Cursor, and Codex.

How it works

Seezo Everywhere

Traditional SDLC
Before
After
Agentic SDLC
Before
Plugin
MCP
Telemetry
Traditional design-stage review: the developer's design document goes to a Security Architect for manual review.
Developer
Writes the design
Design Document
Shared for review
Security Architect
Manual review

Skills Library

Everything your developers need to ship features securely.

Guidance

Provide contextual feedback to developers and coding agents based on what's being built, aligned to organizational standards and frameworks.

Assessment

Start a scan in Seezo to generate requirements, open questions, and threat model.

Security Design Review

Run security reviews on Seezo from coding agents and get security feedback directly in the IDE

Metrics

By the Numbers

The volume of AI-generated code is sharply increasing while the time to release is plummeting. Agentic pentesting models are getting very good at finding novel vulnerabilities in code. Embedding security in the AI-SDLC is our path forward.

42%
of all committed code is now written by AI, per Sonar's State of Code survey
Developers expect that share to reach 65% by 2027 — and only 48% always verify AI output before committing.
Seezo's Approach
Assessment and validate run inside the agent itself, so review scales with every line the agent writes, not with how many people are on the security team.
70%
shorter product development cycles with AI end to end, per McKinsey
6-9 month builds roughly compress to 2 weeks.
Seezo's Approach
Seezo skills are embedded in coding agents, meeting developers where they are, ensuring that products are secure by design.
86%
of vulnerabilities in production-scale code found by AI agents at DARPA's AIxCC
Found across 54M lines of code and patched in 45 minutes on average. Attackers run the same playbook.
Seezo's Approach
AI that finds vulnerabilities this fast will be pointed at your code too. Seezo builds security in up front: threat model at design time, code validated against it before shipping.
User
All users
Client
All clients
Skills
Any skill
Tools
Any tool
Window
7d
Repos seen in events
payments-service0
kyc-portal0
claims-api0
infra-terraform0
Event catalog
NameCategoryLast seen
get_guidancetool_called1 min ago
client"mcp"
session_tokenMcp-Session-Id
user_agent"node"
created_by@seezo.io
error"" (blank = success)
metadata.topic_or_overview"auth"
metadata.topic_count3
metadata.resolved_from"overview"
metadata.duration_ms740
metadata.error_detail"Unknown topic id: pci-scope"
get_assessmenttool_called12 min ago
client"mcp"
session_tokenMcp-Session-Id
user_agent"node"
created_by@seezo.io
error"" (blank = success)
metadata.duration_ms1240
metadata.resultsView assessment results ↗
validatetool_called1 hr ago
metadata.validated9
metadata.not_validated3
client"mcp"
session_tokenMcp-Session-Id
user_agent"node"
created_by@seezo.io
error"" (blank = success)
metadata.duration_ms860
Telemetry

Know what ran, by whom, and when

Security teams get full visibility into what skills fired and when. Know when to step in and get auditors the data they need

Try it for free
FAQ

Frequently Asked Questions

Everything you need to know about the Seezo AI Plugin and how it fits into your workflow.