For Series A and B teams

Clear the security review that's holding up your deal.

Two AI teammates do the work a security hire would — and hand you the signed report your customer is asking for.

AI security engineer — finds what an attacker could actually reach — and writes the fix

AI pentester — proves it by breaking in, then re-tests your fix

No credit card · You approve every change

Example · your customer's security review
  • Email spoofing protection
    DMARC, SPF, DKIM
    Enforced
  • Encryption in transit
    HTTPS everywhere, HSTS
    Enforced
  • Known vulnerabilities
    code, cloud and dependencies
    0 open, high or above
  • Access control
    MFA on every admin
    Enforced
  • Penetration test report
    dated within 12 months
    Attached, signed
Signed evidence pack — ready to send back
you approved every change
Where to start

What brought you here?

People arrive at this from very different places. Pick whichever sounds like you — each one lands on a page written for that question, not a generic tour.

Not ready to sign up? Use these anyway.

Free, no account, no card. They are useful whether or not you ever buy anything.

Your stack
CloudAWS · GCP · Azure
WorkspaceGoogle · M365
CodeGitHub · GitLab
Identity & MFAOkta · SSO
TensorShield
Detect · Triage · Fix · Prove
automated, with a human in the loop
What you get
Fixes shippedPRs & configs, gated
27 frameworks mappedSOC 2 · ISO · GDPR · +24
Signed evidence packreproducible, not screenshots
Auditor-ready reportPDF · Markdown · CSV
Live posture dashboardcontinuous, 24/7

Read-only by default · nothing changes without your approval · your data is never mixed with another customer’s · signed evidence

The two agents

Two AI teammates, one human in charge

Not a dashboard you have to staff. Two agents that do the work a security hire would, on the scanning engine underneath — with you signing off on anything that matters.

Defends
AI Security Engineer

Finds what an attacker could actually reach, and writes the fix.

  • Cuts a thousand scanner alerts down to the handful that matter
  • Connects a problem in your code to what it unlocks in your cloud — one issue, not three tickets
  • Explains each issue in plain English, then opens the PR or config change

Never applies anything on its own — you approve every change.

How the engineer works
Attacks
AI Pentester

Proves it by breaking in — not a scanner's guess.

  • Actually breaks in to prove it is real — safely, inside limits you set
  • Shows you the exact request that worked, so nothing is taken on trust
  • Re-tests after your fix to show the hole is really closed

Only runs against targets you scope and sign off on.

How the pentester works
Prefer to start without AI? The scanning engine is free — turn either agent on when you are ready.
The rule we do not break

If we can't reproduce it, we don't show it to you.

The AI suggests what to try. Something separate — a plain, ordinary test that the AI has no say over — actually tries it and checks whether it worked. Nothing reaches you unless that test came back with proof.

AI makes things up. One invented critical finding, sent to a customer in a regulated industry, ends a company. We built for that failure first, which is why the checking step is a separate thing the AI cannot argue its way past.

How a finding is admitted
The AI has an idea
“This login endpoint looks injectable — try this payload.”
↓ the AI’s job ends here
A separate test decides
Actually sends the request and looks for one specific thing that can only happen if the attack worked — a database error, a redirect to an attacker’s site, code that really ran in a browser.
It worked → you see it, with the proof attached
Nothing happened → thrown away, however sure the AI was

The same rule applies on the defensive side: we only report a route into your systems if it really exists in your setup, and really ends somewhere that matters.

Built on trust

Evidence you can prove — not screenshots you hope hold up.

Every finding cites the tool that backs it, and every compliance artifact is signed and pinned to the exact state it was assessed against. An auditor can re-run the proof. Your customers can trust the badge.

  • Evidence your auditor can verify wasn’t edited after the fact
  • Every issue links to the tool that proved it — the AI never asserts what nothing proved
  • A signed decision ledger for every automated and human action
How we keep you safe
GitHub
AWS
Okta
SOC 2
Signed
Trust
Less noise

We prioritize the alerts, so you don't have to.

Every raw alert runs through the same funnel a senior engineer would — live, on every scan. What's left is the short list that actually matters, in order.

Example figures · your estate will differ
1,200+
Raw signals
30+ scanners, every surface
310
Collapse duplicates
many alerts → one issue
180
Drop false positives
fingerprint + confidence
40
Rank by exploitability
what attackers are exploiting now
12
Weight by blast radius
data-tier · exposed · attacked
6
What matters
in priority order

The numbers above are an example; the mechanisms are real and run on every scan — duplicate alerts collapse into one confirmed issue · known false alarms are dropped · what attackers are actively exploiting ranks first · anything near customer data, or already being probed, jumps the queue.

The difference

Most tools stop at the finding. TensorShield ships the fix.

A dashboard full of risks is still your problem to solve. TensorShield prepares the actual remediation — and applies it the moment you approve.

Advise-only tools
  • Hand you a list of risks
  • “Remediation guidance” you implement yourself
  • You still need an engineer to act
  • “Fixed” means the scanner stopped flagging it
  • Evidence you assemble by hand
TensorShield
  • Opens the pull request with the fix
  • Applies the cloud / identity change on approval
  • Re-tests every fix — and on an authorised engagement, re-runs the exploit to prove it is dead
  • Auto-handles the low-risk work; gates the rest
  • Signs the evidence pack automatically
From alert to proven closed — automatically, with you approving what matters
Detected
ranked, deduped
Fix prepared
PR · config · runbook
You approve
1 tap; routine fixes skip you
Applied
via your connector
Proven closed
tested again, not assumed
Continuous exposure validation

Five jobs. Today they are four vendors and someone to run them.

A scanner, a pentest firm, a compliance tool and a ticket queue — plus the security hire who stitches them together. This is that loop, running by itself.

1Find

Across code, cloud, identity, web, APIs and containers — including how a small thing in one becomes serious in another.

2Prove

Break in, inside limits you set. On a web app or API you authorised, you get the exact request that worked.

3Fix

The real change arrives written — a pull request, a config, an access revocation. You approve it.

4Prove it is closed

We attack the same hole again. If your fix did not take, you hear it from us — not from a customer.

5Evidence

The same run fills in your SOC 2, ISO and 23 other frameworks. Signed, dated, tied to the finding.

Step 4 is the one to look at. Buy these separately and the thing that checks your fix works for a different company than the thing that made it.
Straight answer

Is this you?

Buy this if
  • You ship software on AWS, GCP or Azure and a customer has started asking security questions.
  • Nobody here does security full-time, and the work lands on whoever is least busy.
  • You need a pentest report and SOC 2 evidence, and you would rather not buy two products for it.
  • You want the fix written for you, not a dashboard that assigns it back.
Do not buy this if
  • Your risk lives on an internal network — Active Directory, Kerberos, laptops on a LAN. We do not test those.
  • You need a Kubernetes cluster pentested. Not a surface we cover.
  • You want your own LLM features red-teamed. We have not started that.
  • You already employ a security team and want a tool they operate. This is built to do the work, not to be staffed.

Not sure which side you are on? Ask us — we will tell you if it is not a fit.

Why teams trust TensorShield

A young product — but not an unproven one. Here's what it's built on.

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Built by ex-Google security engineers
The people who secured hyperscale, now on your side
Runs best-in-class open source
30+ wrapped scanners — recall on par with the standalone tools
Agentic-native
An AI security engineer, not a scanner with a chatbot
27
compliance frameworks
30+
open-source scanners
24/7
continuous monitoring
1-tap
approval, fully signed
How it works

Set up once. It runs itself.

Connect a system and the agent takes it from there — you stay in control of anything risky.

STEP 1

Connect

GitHub, AWS, Google Workspace, Okta — one click of OAuth. The agent discovers what to watch.

STEP 2

The agent works

It scans continuously, triages real risk from noise, and prepares the fix — patches, configs, tickets.

STEP 3

You approve

Anything consequential waits for one tap of your approval. Everything is signed and auditable.

Get your security team running this week.

Connect your first system in minutes. See your posture, your compliance gaps, and your first fixes — for free.

Would rather talk first? Email or call us