Offensive Security
SEYA Specter
An AI adversary that tests you like the real thing.
Continuously attacks your environment the way a real adversary would — AI-driven and full-scope, from leaked-credential recon and phishing to network exploitation, wireless and physical — then proves what is exploitable and verifies the fix.
What it does
Specter is an autonomous, AI-model-driven offensive-security platform that runs full-scope adversary emulation — safely and continuously. It starts where real attackers start: OSINT and stealer-log reconnaissance to find live, leaked credentials, then chains phishing and social engineering, external and internal network exploitation, wireless and (where in scope) physical access. It proves real, exploitable attack paths rather than listing theoretical CVEs, re-tests after remediation, and pairs autonomous testing with expert human red-team oversight for the highest-stakes engagements.
Capabilities
- Autonomous, AI-driven attack-path discovery and exploitation
- Full-scope: recon, phishing, network, cloud, wireless, physical
- Stealer-log and credential-exposure reconnaissance
- Proof-based findings — real exploited paths, not scanner noise
- Hack → fix → verify: automatic re-testing of remediations
- Risk-classified reporting with prioritised remediation
- Expert human Tier-3 red-team overlay on demand
- Runs safely against production, or in a mirrored environment
How it compares
NodeZero autonomously pentests the network. Specter covers the rest of the kill chain it leaves out — the human layer (phishing from real leaked credentials), wireless and physical — and adds expert red-team oversight.
Pentera focuses on network kill-chain depth and XBOW on web-app exploitation. Specter unifies both, plus the social and physical layers, into one adversary emulation.
The real alternative to one manual pentest a year — continuous, proof-based validation, with a sovereign / on-prem option.