Your last penetration test came back clean. Three changes later, nobody has tested again — Aquila I CART keeps emulating real attackers across your external and internal estate — discovering exposed assets, chaining weaknesses into breach paths and proving which ones can really be exploited.
Buy through TechBag
Same software. Better outcome — at a lower cost.
How it’s rated
Full scoreboard ↓Quick answer
This page covers Aquila I Continuous Automated Red Teaming (CART) — exploit-path validation from the outside in. The rest of the platform:
Most product pages skip this. We start here — so you buy a capability, not a buzzword.
It keeps emulating real attackers against your estate and proves which paths could actually be exploited.
What consolidation actually replaces, dimension by dimension.
| Dimension | A yearly pentest and a scanner export | Aquila I Continuous Automated Red Teaming (CART) |
|---|---|---|
| Testing cadence | One penetration test a year | Adversary emulation that runs continuously |
| New exposures | Found at the next engagement | Tested soon after they appear |
| Findings | A long list of scanner issues | Chained breach paths, ranked by feasibility |
| Proof | Assumed from a CVSS score | Exploit feasibility checked by safe execution |
| Defender feedback | A report handed over at the end | Activity correlated with detection telemetry |
| What it is NOT | — | A human red team, a VAPT report or a published price |
The cheapest test is your external edge: run CART for a month and compare its proven paths with the findings of your last penetration test.
Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.
CART keeps discovering exposed domains, services, APIs and shadow infrastructure, then enumerates misconfigurations and weak authentication paths across them.
Simulated attacks progress from a foothold through privilege escalation and lateral movement to impact, across identity, infrastructure, cloud and application layers.
Aquila I says exploit feasibility is validated by controlled, safe execution in production; the safety controls and the internal footprint are not documented.
Red-team activity is correlated with telemetry to judge detection and response, and Aquila I says detection engineering agents use CART findings to tune rules.
Reconnaissance, attack chains and controlled exploits across your estate — findings ranked and fed back to the defenders.
Aquila I CART tests your estate the way an attacker would — continuously, from the outside in, with proof of what is exploitable.
Maps exposed domains, services, APIs, misconfigurations and shadow infrastructure across the external footprint as it changes.
Enumerates exposed services, weak authentication paths and exploitable assets continuously, the way an attacker scouts first.
Tests multi-cloud and hybrid misconfigurations, plus application weaknesses such as injection and authentication bypass.
Confirms whether a weakness can really be exploited through controlled attack execution in production, per Aquila I.
Simulates credential abuse and privilege-escalation scenarios across hybrid environments, where most breaches widen.
Models post-compromise movement to test segmentation, containment and blast-radius controls, from foothold to impact.
Links weaknesses across systems into breach paths, so findings arrive as routes to impact rather than disconnected issues.
Prioritises findings by exploit feasibility, privilege relationships and potential business impact, per Aquila I’s page.
Dashboards track exploit success rates, attack-surface reduction and remediation over time, for the board and the engineers.
Here’s what genuinely sets it apart — and exactly where it stops.
A yearly penetration test is a snapshot, and the estate changes the week after. Aquila I CART runs adversary emulation continuously across external and internal environments, so a newly exposed service, a weakened login path or a cloud misconfiguration is tested when it appears rather than at next year’s engagement.
Scanners list thousands of vulnerabilities, and few are reachable. CART chains weaknesses across systems into breach paths, validates exploit feasibility by controlled execution, and ranks findings by privilege relationships and business impact, so remediation goes first to what would actually let an attacker in.
Aquila I correlates CART activity with telemetry to judge whether detection and response worked, and says its detection engineering agents use CART findings to propose new rules and retire degraded ones. That loop is strongest if you also run Aquila I AI SOC; on another SIEM, ask what reaches it.
It finds and proves exploitable paths; it does not test every control rule as BAS does, and it is not a human red team or a CERT-In-empanelled audit. How it tests inside your network is not documented. Pricing is quote-only, the hosting region is not published, and Aquila I names no CART customers.
List the domains, IP ranges, cloud accounts and internal segments in scope, and agree what CART may and may not touch.
Get the hosting region and the way CART reaches internal networks in writing, then record both in your DPDP and risk registers.
Run continuous discovery and exploit validation on the internet edge first, with the SOC told the testing window in advance.
Fix the highest-ranked breach paths with each owner, then confirm CART can no longer chain through them on the next run.
Add internal segments if the pilot held up, compare findings with your last pentest, and decide whether BAS belongs beside it.
Modelled on Gartner Peer Insights structure. *Counts and breakdowns are illustrative pending verified review collection.
“It found a forgotten staging server with default credentials and showed the path from it to a file share. Fixed in a day.”
“Our annual pentest was clean in March; CART flagged a newly exposed remote-desktop service in June. That changed the budget.”
“Findings come ranked by exploitability, so the team works ten real paths instead of a 400-line scanner export.”
“We still commission an empanelled VAPT for the regulator; CART is what we run in between the audits, not instead.”
“Setting up internal testing took longer than expected, and the documentation on what runs inside our network was thin.”
“Good results, but the hosting region and the licence basis both took several emails to pin down before legal would sign.”
Analyst firms bury this view behind paywalls, and review-site grids score satisfaction, not fit for your estate. So here’s TechBag’s synthesis of the continuous automated red teaming market — tap any vendor to see why it sits where it does.
Execution strength vs product vision — the classic market map, minus the paywall.
Quote-only; young Indian vendor, no named customers.
The grid nobody publishes — how much of your estate a product can test (external, internal, cloud) vs how far it goes to prove a finding: exploitation, chaining and evidence.
External and internal claimed; inside route and safety detail undocumented.
Positions are TechBag’s illustrative synthesis of public review-platform data and vendor documentation — not a reproduction of any analyst graphic. Verify before relying on it.
Against Pentera, Horizon3.ai NodeZero, FireCompass, CyCognito and Hadrian — on deployment, external and internal reach, exploit proof, identity, cloud, apps, detection, price, India data and exit.
| Dimension | Aquila I Continuous Automated Red Teaming (CART) | Pentera | Horizon3.ai NodeZero | FireCompass | CyCognito | Hadrian |
|---|---|---|---|---|---|---|
| What it is | Continuous red teaming | Automated pentesting | Autonomous pentesting | India-founded CART | ASM plus AI pentesting | Agentic offensive tests |
| Deployment | SaaS; inside unclear | Agentless, per Pentera | Docker host or cloud | SaaS, agentless | Agentless, seedless | SaaS, external-first |
| External discovery | Continuous mapping | Pentera Surface | External pentests | Shadow assets, leaks | Seedless discovery | Atlas |
| Internal network testing | Claimed, undocumented | Pentera Core | Its core strength | Network pentesting | External only | Not its focus |
| Exploit validation | Controlled execution | Safe-by-design | Real exploitation | Runs the exploit | Payload-level tests | Agents chain flaws |
| Identity and privilege | Credential abuse tests | Core and Cloud identity | Password audits too | Credential reuse | Not documented | App-level auth |
| Cloud | Misconfig testing | Pentera Cloud | Cloud and Kubernetes | Cloud assets in scope | Exposed cloud assets | External cloud assets |
| Web and app testing | Injection, auth bypass | Surface web apps | Network-led | OWASP Top 10: 2025 | External web assets | Nova for apps, APIs |
| Detection validation | Telemetry loop | Check in your SIEM | Not the headline | Endpoint evaluation | Not documented | Not documented |
| Pricing model | Quote only | Quote only | Tiered, quoted | Per application | Quote only | Per test or platform |
| Published entry price | Not published | Not published | ~$18,600/yr reported | $450–2,500 per app | Not published | From €1,250 per test |
| India data region | Not published | Not documented | Internal host is local | India office, no region | Not documented | Not documented |
| Lock-in and exit | Findings in lakehouse | Agentless exit | Remove one host | Nothing installed | Nothing installed | Per-test exit |
| Best fit | Indian buyer, one vendor | Inside and outside proof | Internal network depth | Apps and edge, from India | Unknown external assets | External edge, per test |
Honest fit signals — because the fastest way to lose your trust is to pretend one product wins every scenario.
TechBag has no continuous automated red teaming guide yet, so Aquila I Continuous Automated Red Teaming (CART) sits outside the category guides. Browse all products to compare it with the rest of the catalogue. →
Drag the sliders (assets in scope; engineer-hour cost). Estimates model the engineering time spent preparing periodic pentests, triaging scanner findings nobody has proved exploitable and re-testing fixes, at an assumed 1.5 hours per asset a year, with 70% of it removed by continuous, validated attack-path findings. Both figures are assumptions. Illustrative.
Loaded cost = salary + overheads per productive hour. Illustrative only — your TechBag quote models your actual environment and modules.
Quote only. Aquila I publishes no price for CART or any other product, no INR list and no licence meter, so it is not clear whether a quote counts assets, IPs, domains or engagements, or how often testing runs. How internal testing reaches your network is not documented either, and it affects cost. TechBag maps the scope first, then gets the quote itemised in INR with GST.
Best for proving exploitable paths continuously
Best for a broader rollout
Best for testing exposures and controls together
Whatever the list prices above, TechBag negotiates a significantly better deal — with GST-compliant INR invoicing and local support. Ask us for your discounted quote.
Tell us your requirements and current tools — we’ll model it against what you spend today.
Take this into your next vendor call — including ours.
How does CART test inside the network — an agent, an appliance, a VPN or a jump host — and who maintains it?
Where does Aquila I host the SaaS and store attack-path findings? Get the region in writing for DPDP Act records.
What stops an exploit attempt from disrupting production — safe payloads, rate limits, a kill switch — and who approves runs?
How are scope limits enforced, so CART never touches a third party’s asset, a partner network or an excluded system?
What does continuous mean in practice — daily, weekly or on change — for external testing and for internal testing?
What does the quote count — assets, IPs, domains or engagements — for what term, and is it shown in INR with GST?
Does each finding carry proof of exploitation and steps to reproduce, in a format your auditors and engineers accept?
Will CART findings satisfy your auditor, or do RBI, SEBI or IRDAI rules still require a separate empanelled VAPT?
Map the domains, IP ranges and segments in scope first, or let a TechBag advisor get Aquila I’s hosting region and internal-access method in writing, with the quote in INR.
Stats, ratings, review counts and pricing are illustrative and sourced from public materials; verify before purchase.