Clone production. Let AI attack it.
Make an exact copy of the servers. Let AI attack the copy. The real systems never get touched.
Pentesting production is never risk-free
Here's the thing. Testing attacks on live systems is risky. One bad probe can crash a service or corrupt data. So most teams skip it. Or they test a stale copy that looks nothing like production. Either way, real holes sit open for months, and an attacker finds them first.
See the timeline
What is vulnerability exposure costing?
Every day a vulnerability sits unpatched is a day the infrastructure is exposed. Calculate the risk window.
One command. Zero risk.
Clone
Make an exact copy of production in 47 seconds. It's a real copy, not a guess. Our storage engine does it without using extra disk space.
Attack
Let AI attack the copy. It runs port scans, SQL injection, and known-bug checks. Real attacks against real data.
Fix
Get a ranked list of weak spots. Fix them before attackers do. Then throw the copy away. Production was never touched.
Why this works
Old-school pentests hit a staging copy. That copy drifts from production within days. So the test misses real holes. We copy actual production instead. Same data, same setup, same weak spots. We attack that copy, then delete it. The live systems stay safe.
Why this works
| Traditional pentesting | Rediacc (attacks a production copy) |
|---|---|
| Staging copy (weeks old, drifted from real) | Production copy (seconds old, 100% match) |
| High risk (testing live) or none (but wrong) | Zero. The copy is throwaway. |
| Cleaned-up or fake data | Real production data (kept isolated) |
| Days to weeks for staging | 47 seconds to copy |
| 1-2x per year (manual) | Continuous (automatic, every deploy) |
| $15,000-$50,000 per engagement | $0 extra (automatic) |
What it includes
Zero production risk
Attack a throwaway copy, not production. Crash it. Break it. Exploit it. The live systems stay safe.
Real production conditions
Test against the real setup and real data. Not a cleaned-up staging copy that drifted months ago.
Continuous, not annual
Run a pentest on every deploy, every week, or every code change. No more waiting 6 months between manual tests.
Short on time?
Skip the deep-dive. Grab the five-minute version, short enough to read at a stand-up.
Download short brief (PDF)Sources(2)
- IBM Security, "Cost of a Data Breach Report," July 2024. "The global average cost of a data breach reached USD 4.88 million in 2024." "The global average data breach lifecycle hit a 7-year low of 258 days (194 days to identify, 64 days to contain)."
- Verizon, "2024 Data Breach Investigations Report," May 2024. "The exploitation of vulnerabilities as an initial point of entry almost tripled from the previous year, accounting for 14% of all breaches."
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