Assessments & Testing
Continuous application security and AI-driven pentesting via Aikido — testing the live system the way an attacker would, not once a year on a snapshot.
Most application security still runs on the once-a-year manual pentest model — a two-week engagement, a PDF report, then 50 weeks of untested change. Modern apps ship to production multiple times a day. The gap between when a vulnerability is introduced and when it is detected by an annual test is exactly the gap an attacker is exploiting.
Continuous application security on every code change, plus autonomous AI agents running full pentests on each major release and quarterly. The agents do what a manual tester does — probe, exploit, escalate — but they do it weekly, against the live application, and they only report what they actually managed to break. We deliver this through Aikido, where we are a certified partner with operator-level training.
- Continuous AppSec on every push
SAST, dependencies, IaC, container, and secrets scanning on every pull request. Findings triaged with engineering at the source, not bundled into a quarterly report no one reads.
- AI pentesting on each release
Autonomous agents probe the live web application or API the way an attacker would. The report contains exploits, not theoretical findings — what the agent actually managed to do, with a reproduction path.
- Cloud security posture management
Misconfigurations, exposed assets, IAM drift, and resource sprawl across AWS, Azure, and GCP — caught continuously, not in a quarterly review.
- Risk assessments
Business-impact-aligned risk assessment for ISO 27001 and NIS2 scoping, vendor due-diligence, and pre-acquisition reviews. Realistic, not a 50-row spreadsheet exercise.
- Threat modelling
Architecture-level review with engineering — what could go wrong, what is most likely to go wrong, and what is the cheapest way to make the most likely failure impossible. Done before code, not after.
- Vendor and product reviews
Independent review of a vendor pitch or a product roadmap. The same engineers who run application security across our customer base, applied to your specific decision.
- 01 Wire in
Aikido integrates into your SDLC — code repositories, CI pipelines, cloud accounts, container registries. First pass usually finds enough to keep the team busy for a sprint or two.
- 02 Triage
We sit with engineering to triage and tune the noise — what to fix now, what to suppress, what to reroute as engineering tickets. The signal-to-noise ratio at the start determines whether the practice survives month two.
- 03 Pentest
AI agents run a full pentest on every major release, plus quarterly cadence. We review and contextualise the findings, not just forward the report.
- 04 Iterate
Quarterly review of vulnerability classes, repeat-offender code paths, and where to invest in developer training. Application security gets better when the engineering team gets better — that is the actual outcome.
- Vulnerabilities caught on the pull request, not in a quarterly audit.
- An AI pentest report on every release that lists exploits, not findings.
- An engineering team that knows what to do with the findings — not just a report that lands and dies.
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CrowdStrike Falcon platformThe platform we run our 24/7 SOC on — endpoint, identity, cloud, and agentic AI in one stack.
✓ Certified partner -
Tenable Exposure ManagementVulnerability management across environments — from cloud to OT.
✓ Certified partner -
Aikido AppSec & AI-pentestContinuous application security and AI-driven pentesting.
✓ Certified partner
Why AI pentesting instead of manual?
Cost-efficiency and frequency. A manual pentest is a snapshot of the application on a single day, taken once a year. An AI agent runs the same probe-and-exploit logic weekly, against the live system, with a fraction of the per-engagement cost. The trade-off is that AI agents miss the edge cases a great human tester would find — but the alternative is a snapshot that is 51 weeks out of date for most of the year.
Do you do manual web, mobile, or network pentesting?
No. We deliver application security and pentesting through Aikido's AI-driven approach. If you need a manual web or mobile pentest, a network pentest, social engineering, or a red-team engagement, we will refer you to a partner who specialises in that. Pretending to do work we do not run daily would be the wrong shape.
How does this fit alongside ISO 27001 and NIS2 evidence?
Continuous AppSec output is exactly the evidence the auditor wants for application security controls. Aikido findings, remediation timelines, and pentest reports flow into the same evidence catalogue we maintain on the compliance side. If you are running both with us, the data crosses once.
What about secrets in code or in CI?
Detected on every push as part of continuous AppSec — secrets in code, secrets in IaC, secrets in container images. Plus continuous scanning of public sources for leaked credentials tied to your domains and brand. CyberArk on the operational side handles the live secrets; Aikido catches the leaks before they get there.
Will the AI pentest take down our production?
Aikido's agents are designed to probe without destructive payloads — the goal is to demonstrate exploitability, not to actually exploit. We schedule pentests against staging or production-mirror environments where possible, and we coordinate with engineering before each run. There is risk in any active testing, including manual pentests; the AI version is no worse, and arguably better-controlled because the behaviour is consistent.
Can we run this on legacy applications?
Yes, with a caveat. Aikido's static and AI-pentest pipelines work against any modern application stack and most legacy ones. For a 20-year-old C++ application running on a custom framework, the static analysis is less useful than for a modern web application — though dependencies, secrets, and runtime probing still apply. We will be honest about expected coverage during scoping.