Built by practitioners,
for practitioners.
Who we are
SICenter — Strategic Intelligence Center — is a CTEM platform founded by security practitioners who spent years running penetration tests, bug-bounty programs, and incident response engagements. We built the tooling we wished existed: a single console that scopes, discovers, prioritizes, validates, and mobilizes — without requiring a five-person security operations team to operate.
Our background is offensive security. We understand that attackers do not read vulnerability reports — they probe, enumerate, and exploit continuously. The platform reflects that reality: discovery runs on a schedule, not on-demand; scoring weights exploitability over theoretical severity; and every feature is designed to answer the question an attacker would ask, not just the question an auditor would.
What we believe
Security programs fail not because teams lack effort but because they lack continuous, accurate signal. A point-in-time penetration test tells you what was true on Tuesday. By Thursday, a new subdomain is live and a misconfigured S3 bucket is public. CTEM solves this by treating exposure management as an ongoing operational discipline rather than a quarterly project.
Exposure is dynamic.
Attack surfaces change daily. Static snapshots miss what matters. Continuous discovery is the only honest answer.
Signal over noise.
A 9.8 CVSS score on an internal test server is less urgent than a 6.5 CVE on a public payment endpoint. Context is the scoring system.
AI belongs in the loop.
Language models accelerate reconnaissance, not replace judgment. The MCP server lets you combine both in the same workflow.
Transparency builds trust.
Limits, pricing, and data practices are published without asterisks. You should know exactly what you're paying for.
What is next
The current platform covers the external attack surface. In 2025 we are extending coverage inward: internal network segments via an outbound-only connector, cloud configuration posture against CIS benchmarks, and identity exposure monitoring for leaked service-account credentials.
On the AI side, we are building autonomous agent workflows that triage new findings, draft remediation PRs for common misconfigurations, and surface attack-path chains that span multiple finding types. The MCP server is the foundation; the workflows are the next layer.
If you are a security engineer, researcher, or team who wants to help shape what we build next, reach out. We work closely with early customers and treat their feedback as product requirements.
Want to work with us or just say hello?
We are always happy to talk security, product, or partnerships.