Agentic pentesting uses AI agents to autonomously discover, chain, and attempt exploitation of vulnerabilities. Terra combines AI agents with human pentesters for oversight, validating and signing off on findings before they're reported. Unlike a scanner, which flags potential issues, agentic pentesting delivers confirmed, exploitable findings — continuously, not just once a year.

Terra isn't a scanner and it isn't a once-a-year engagement. Traditional pentests are point-in-time, typically taking 4–8 weeks from kickoff to report; scanners run continuously but return unvalidated results with high false-positive rates. Terra combines AI agents with human oversight to deliver continuous, low-noise findings — initial baseline results in 1–2 weeks, then updates within hours of a code change.

No. Terra is built as a human-on-the-loop platform: AI agents handle discovery, execution, and attack-chain reasoning at scale, but a human pentester remains on the loop for oversight and judgement. This is intentional architecture, not a limitation — it's what keeps testing safe in production environments.

Terra's initial baseline typically surfaces validated findings within 1–2 weeks, and continuous monitoring surfaces new findings within hours of a code change — compared to 4–8 weeks for a traditional point-in-time pentest.