AI Security Assessment & Control Validation

Prove your AI controls actually work

A CREST-accredited AI security assessment that tests whether your AI-use policy actually holds — discovering the AI really in use and proving with synthetic data whether sensitive data can slip through, with evidence-graded scoring and a board-ready roadmap.

Book a free AI exposure check

Tell us what AI your teams use. A senior engineer, not a salesperson, replies with where you're most likely exposed.

Fixed price after a 15-minute call · Try before you buy · Your details are never shared

What happens next
1
An engineer reviews your request and emails you within 1 business day
2
A short call: what AI your teams use and where data could leak
3
You get an exposure read and a fixed-price assessment quote in writing.
On a deadline? Tell us your audit or customer date in the form — we prioritise time-boxed engagements and will tell you on the call if we can hit it.
  • Shadow- and embedded-AI discovery — what AI is really in use
  • Synthetic-data leakage testing across every path an employee could use
  • Evidence-graded control scoring (E0–E3), not opinions
  • Board-ready assurance roadmap you can action in 30/60/90 days
The credentials behind every engagement
CREST-accredited for penetration testingISO/IEC 27001 certifiedSOC 2 Type 2 attested
2026 CyberSecurity Breakthrough Awards winnerG2 High Performer, Fall 2026
Penetration Testing Solution of the Year
2026 CyberSecurity Breakthrough Awards
Trusted by Leading Compliance Teams, including
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What you get

What the assessment delivers

Not a policy review. Proof of whether sensitive data can actually reach AI — and what to fix first.

1

A map of the AI really in use

Shadow and embedded AI across paste, upload, browser, desktop and API — discovered, not assumed.
2

Evidence-graded control scores

Every control graded E0–E3 on the strength of the evidence behind it. A confident interview can't earn a high score — only a passing technical test can.
3

A board-ready assurance roadmap

A 30/60/90 plan you can usually action with tools you already own, plus a re-test to verify the fixes held.
Sample ioSENTRIX penetration test report
ioSENTRIX web application penetration test sample report cover
See the real thing before you talk to us

A redacted sample web-application report — the finding write-ups, proof-of-concept evidence and remediation your team would receive. No form required.

Download the sample report (PDF) →
Pricing, no surprises
$6,400
starting price · 40 credits at $160 each

Enough for a small web application and its API, free retest included. Need more coverage? Buy more credits and spend them across web, API, mobile, cloud and network as priorities change; unused credits roll over quarterly. Continuous PTaaS subscriptions are quoted on scope.

You set the budget. We fit the scope.

Working to a fixed number? Tell us what it is. We scope a timeboxed test to fit it and agree what gets tested first, so you get the most coverage your budget allows — in writing, before testing starts.

Get my scoping call
Verified reviews

What security teams say about working with us

★★★★★

“Unlike other providers, Omair and his team truly dive deep into our infrastructure, delivering findings that go well beyond the surface level. Communication is direct and seamless.”

Jesus B.
Cybersecurity Manager, Banking
Verified G2 review ↗
★★★★★

“We were impressed with ioSENTRIX’s ability to independently validate the security of our customer-facing product.”

Zeehasham R.
Data Scientist, Security Operations · CNA
Verified Clutch review ↗
★★★★★

“The team at ioSENTRIX is professional and highly skilled at their craft.”

Awwab A.
SVP, Chief Information Security Officer
Verified G2 review ↗
← swipe for more →
WHY ioSENTRIX

Why teams choose ioSENTRIX for AI assurance

We don't ask if you have a policy — we test whether it holds, with safe synthetic data across every path a real employee could use.

  • We test controls, we don't survey themGovernance firms ask whether a control exists; we prove whether it works — using synthetic data across paste, file upload, browser, desktop and API, plus personal vs. enterprise accounts.
  • Your real data is never touchedWe test with synthetic, uniquely-marked records — fake PII, PHI, secrets and source code. Your real data never leaves your environment or reaches ours. Safe by construction.
  • Evidence levels, not opinionsEvery control is graded E0–E3 on the strength of its evidence. Proven-exposed gaps are surfaced, never averaged away — so the board sees reality, not a green dashboard.
How we compare

Not a scanner. Not a once-a-year PDF.

ioSENTRIX PTaaS
AI & scanner-led tools
Traditional one-off firm
Testing method
Manual, business-logic testing by hand
AI/automated scan, light human triage
Manual, but once a year
Who tests
CREST-accredited, OSCP-certified engineers
AI agents and crowd-sourced researchers
Varies by engagement
Speed to start
Scoped quote in 1 business day; testing in 5–10 days
Instant, but shallow
Weeks of scheduling
What you get
Proof of concept and a code-level fix, ranked by real exploitability
A queue of unvalidated alerts
A PDF at the end
Retesting & pricing
Free retesting; flexible subscription or credits
Per-seat SaaS; retests extra
Billed again to re-test
  • HEAD: Governance asks if controls exist. We prove they hold.
  • ioSENTRIX | AI governance firm | DLP / CASB tool
  • Approach | Tests whether controls hold | Asks whether controls exist | Blocks known patterns
  • Shadow AI | Discovered across every path | Self-reported | Partial, signature-based
  • Evidence | Graded E0–E3 from real tests | Interviews and policies | Alert logs
  • Data safety | Synthetic, uniquely-marked data | N/A | Inspects real data
  • Output | Board-ready assurance roadmap | A maturity score | A dashboard
  • Speed | About 2 weeks to proof | Weeks of workshops | Always-on, but shallow
  • H: What we actually validate
  • S: Not a policy review — we test whether your AI controls hold under real attack, mapped to the OWASP LLM Top 10, NIST AI RMF and MITRE ATLAS.
  • C: Shadow AI & data-flow discovery | We map every model, copilot, API and agent your teams actually use — sanctioned or not — and trace exactly what data each one can reach across paste, upload, browser, desktop and API.
  • C: Prompt injection & jailbreak resistance | We run direct and indirect prompt-injection, jailbreak and system-prompt-leak attacks against your guardrails to see what actually gets through.
  • C: Sensitive-data leakage (PII / PHI / secrets) | Using synthetic, uniquely-marked records, we test whether regulated data can escape through prompts, RAG retrieval, logs, caches or model output — your real data is never touched.
  • C: Identity, access & agentic permissions | We verify every human and service identity touching your AI is authenticated, least-privileged and logged, then test excessive-agency and tool-use abuse across agentic workflows.
  • C: Model & supply-chain integrity | We probe models, fine-tuning data and third-party components for poisoning and tampering, and confirm you would actually detect it.
  • C: Monitoring, logging & AI incident response | We trigger realistic AI abuse and measure whether your logging, alerting and kill-switches catch and contain it — the evidence boards and auditors ask for.
The AI question

An AI tool isn't a pentest — it's a faster scanner

The tool was never the hard part. Years ago the choice was the same: run Burp Suite yourself, or hire a firm that also runs Burp. The scanner didn't make the difference — the person driving it did. AI hasn't changed that. It's changed the speed.

AI is genuinely good at breadth — known vulnerabilities, routine coverage, pattern-matching at scale — so we run it on every engagement to go faster and wider. But the flaws that actually get companies breached are business-logic abuse, broken authorization, and weaknesses chained into real impact — the things an autonomous tool still can't reason about.

9%
of security leaders trust automation on its own in 2026 — down from 29% a year earlier
78%
have been hit by critical false negatives from fully automated scanning

— 2026 survey of 455 security leaders

So we use AI too — then our OSCP-certified engineers do what AI can't: understand your business, chain the findings, and prove what's actually exploitable. AI makes us faster. Skill is what makes it a pentest.

Ready to see what your scanners and AI tools are missing?

Get my scoping call

A senior engineer replies within 1 business day · no sales pitch

How it works

From policy to proof

A structured, repeatable method with evidence at every step.

  1. DiscoverWe find the AI really in use — sanctioned, shadow and embedded — across every path your employees can reach.
  2. Map, tier & baselineWe map each AI use to the data it can touch, tier the risk, and baseline the controls you have today.
  3. Validate with synthetic dataWe test whether sensitive data can actually reach AI on each path, using uniquely-marked synthetic records — never your real data.
  4. Assure & re-testEvidence-graded scores, a board-ready roadmap, and a re-test to verify the fixes held.
Discover → map, tier & baseline → validate with synthetic data → assure & re-test (about 2 weeks)
Track record

Numbers you can check

A method built on evidence, not opinions.

4.9 / 5
on G2 from 12 verified reviews
5.0 / 5
on Clutch, Premier Verified
< 2 wks
from policy to proof

AI standards and frameworks we map to

NIST AI RMF
ISO 42001
OWASP LLM Top 10
OWASP Agentic
MITRE ATLAS
EU AI Act
SOC 2
Before you ask

Questions buyers ask before they book

What is AI control validation?

AI control validation tests whether your AI-use policy actually holds in practice — not whether it exists on paper. We discover the AI really in use, then prove with synthetic data whether sensitive data can slip through on each path an employee could use, and grade each control on the strength of the evidence behind it.

How is this different from AI governance or a policy review?

Governance and policy reviews ask whether a control exists; we test whether it works. Instead of a questionnaire, we run safe synthetic data across paste, upload, browser, desktop and API — so your assurance is backed by a passing technical test, not an interview.

Is our real data safe during the assessment?

Yes. We test with synthetic, uniquely-marked records — fake PII, PHI, secrets and source code. Your real data never leaves your environment or reaches ours. Safe by construction.

What is shadow AI, and do you find it?

Shadow AI is the AI tools your employees use without IT's knowledge or approval. Discovery is the first step of the assessment — we surface sanctioned, shadow and embedded AI across every path before we test whether sensitive data can reach it.

What do the E0–E3 evidence levels mean?

Every control is graded on the strength of the evidence behind it: E0 (no evidence) through E3 (a passing technical test). A confident interview can't earn a high score — only a passing test can — so proven-exposed gaps are surfaced, never averaged away.

Which AI frameworks do you map to?

NIST AI RMF, ISO/IEC 42001, the OWASP LLM Top 10 and Agentic guidance, MITRE ATLAS, the EU AI Act and SOC 2 — so your results line up with what auditors, boards and enterprise customers reference.

How long does the assessment take?

A focused baseline takes about two weeks: what AI is really in use, which controls hold, which fail, and a 30/60/90 plan you can usually action with tools you already own.

Ready when you are

Find out if your AI controls actually hold

Book a short AI exposure check and we'll show you what a full assessment would surface — and where you're most likely exposed today. No commitment, no sales call before the engineer call.

Synthetic data only · CREST-accredited · ISO 27001 · SOC 2 Type 2 · Re-test to verify fixes
Get my scoping call