Your users trust you
with their data.
Don't let them down.

Our harness attacks your product 24/7 and finds a way in before bad actors do. Every finding comes with a recommended fix.

Talk to the founder →

A 20-minute conversation with a founder. No pitch deck, no SDR.

greywatch-harness — live

$ harness run --target acme-health.com

[08:42:01] mapping surface… 38 endpoints

[08:42:19] probing auth boundaries

[08:43:04] testing /api/patients/:id

[08:43:07] ! IDOR — read any patient record

[08:43:07] ! severity: CRITICAL

[08:43:12] engineer review queued

[09:20:44] ✓ exploit reproduced · fix recommended

Proof of work

Our harness has found real vulnerabilities in growing product companies

Confirmed findings from engagements and responsible disclosures.

31companies with confirmed findings, in the last 7 days

743plaintext API keys exposed by a single finding

100%of the criticals we found would have passed a SOC 2 review

Ada Health

Casca

Adra

Empallo

Ada Health

Casca

Adra

Empallo

Freya Voice

Jupid

Freya Voice

Jupid

The threat landscape

AI-enabled product development is increasing attack surfaces.

AI writes your code

It ships fast - but gets reviewed for shape, not security. Bandwidth is the gap, not competence.

AI attacks your product

Autonomous agents probe thousands of products 24/7. Prompt injection, exposed APIs, bad packages - they find what you haven't fixed.

A breach is existential

For data-sensitive companies, a breach destroys reputation and trust - the kind of damage a business doesn't recover from.

The next wave is coming

Next-gen AI models will put offensive capabilities in anyone's hands. The time to get ahead of this is now.

Software keeps multiplying your surface while AI collapses the cost of attacking it.

You don't have to be a prime target anymore. There's no longer a cost that makes skipping you worthwhile.

The offering

Find it. Prove it. Fix it.

1 framework. 3 motions. Machine coverage, human judgment, and a finding you can actually act on.

Find it

A proprietary AI harness attacks your product continuously, not once a quarter. An engineer filters every finding, so you get the few that are real. Not 1,000 tickets.

Prioritized findings

IDOR on /api/patients/:idCritical

Overprivileged S3 policy on backupsHigh

Missing security headersLow

Prove it

A scanner flags a maybe. We show you the exploit. Every finding comes with the exact request that worked, the data it exposed, and step-by-step reproduction your engineers can run themselves.

Reproduction

$ curl -H "Auth: <user-a>" \

/api/patients/8815

← 200 OK · returns patient 8815

user-a is not patient 8815

Fix it

Every finding ships with a recommended fix, written by the engineer who exploited it. Implement it yourself, or have our forward-deployed engineer raise the PR for you.

Recommended fix

- return res.json(patient)

+ if (patient.id !== session.userId) return deny()

+ return res.json(patient)

PR raised by us - optional

A scanner tells you what might be wrong.
We show you exactly how we got in - and exactly how to close it.

A new paradigm

Welcome to the era of continuous offensive security.

You ship 4 times a day. You get tested 4 times a year. Meanwhile the window to catch a vulnerability first has collapsed to hours.

The old model

4×

security tests / year

Your release cadence

4×

deploys / day

Mean time-to-exploitMedian

Median time from disclosure to active exploitation. Source: zerodayclock.com

Our harness probes your assets 24/7 and flags an exploitable vulnerability the moment it ships - not the next time someone scopes an engagement.

A hard truth

The old model was built for a slower attacker.

3 things the industry still treats as sufficient. When exploitation is measured in hours, none of them hold up.

Automated scanners are noise

A CVE scanner returns 1,000+ findings with no prioritization. Teams stop reading.

Scan results

Outdated jQuery 3.4.1Unranked

Missing X-Frame-OptionsUnranked

+ 997 moreUnranked

Compliance checkmarks are posture, not protection

SOC 2 and HIPAA mean the right policies are documented - not that the product is secure.

Compliance dashboard

SOC 2 ✓HIPAA ✓ISO ✓

IDOR on /api/users/:idUntested

Quarterly VAPT is a snapshot

A VAPT report is true the day it runs, and decays from that moment. By the time you read it, you've shipped 100 more times.

Pentest report

Issued90 days ago

Deploys since360

StatusHistorical document

All 3 assume an attacker who moves in weeks or months. That attacker doesn't exist anymore.

From our customers

What it looks like from the other side.

“

We were focussing on our usual product roadmap and didn't think beyond our quarterly VAPT reports. Greywatch proactively found exploitable vulnerabilities our usual vendor never caught, and now we run their continuous security platform on all our assets. Highly recommend working with them!

Adarsh Tadimari

Co-founder & CTO, Plotline

How we work

Man + Machine.
Not man vs. machine.

Pure automation finds everything and understands nothing. We built it differently.

Machine

24/7

AI harness attacks your surface

→

Coverage

1,000+

candidate findings

→

Human

cyber-security expert finds exploits & prioritizes

→

Signal

real, exploitable findings

→

Human

forward-deployed engineer patches your code & raises the PR

A scanner stops at 1,000+ and hands you the list. We carry it through to merged.

RL-trained adversarial agentsDynamic allow/deny guardrailsCVE + exploit-chain verification2 humans in the loop on every finding

Think of it as security engineers backed by an AI research team - not an AI tool pretending to be one.

From the Journal

We write up what we find.

Real attacks, taken apart and fully anonymized - how we got in, why the gap was there, and how to close it.

The Mental-Health Records Anyone Could Read

Read the Journal →

Who we are

Built by people who've seen
what happens when security fails.

Rahul Dharan

Co-founder

Security engineer who has hardened products for 100s of startups - and seen how attackers find what founders miss. He built the methodology behind Greywatch's find-and-patch engine.

100s of startups hardenedSaaS · fintech · healthtech

Ajay Kumar

Co-founder

Serial entrepreneur, 12+ years building and scaling tech products. Greywatch is his answer to a gap he kept seeing: founders moving at full speed with no one watching the door.

12+ years · 3 companiesMonkSpaces.Ai · Tequity

Your users trust you with their data. Don't let them down.