Security takes more than software.
It takes people who can find the flaws, a legitimate way to report them, systems that govern data by default, and proof that any of it works. Shadow Security is an AI-native cybersecurity company building all four.
Cybersecurity fails in four places at once.
Each is usually somebody else's problem. That is why none of them gets solved.
Learning
Security is taught as theory and tested on paper, while the actual job is investigation.
Disclosure
Find a real flaw in an Indian company and there is often no safe way to report it.
Governance
Personal data is governed across spreadsheets and tickets, with no system that reflects reality.
Assurance
Organisations doing real security work still cannot credibly prove it to a buyer.
Four layers. Pick yours.
Each serves a different person and solves a different problem. Together they form a cybersecurity ecosystem none of them could be alone.
The ecosystem journey runs: learn and practise with Suraksha Labs, discover and disclose with Suraksha VDP, govern and protect with Shastra, prove and assure with Astra.
Suraksha Labs
Early access soonStart with no background at all and build real security skill through investigation: logs, terminals, traffic and evidence, not slides and quizzes.
- Start from zero, with no prior networking, Linux or web knowledge assumed
- Missions, not lectures: logs, a terminal, an objective
- AI acts as a mentor and will not solve the lab for you
Someone got in last night.
A mid-sized company noticed unusual activity on an internal service just after 02:00. You have their logs, their access records and a shell. Nobody will tell you what happened; that's the job.
- Objective
- Find the entry point and establish what the intruder reached.
- Evidence provided
- Access logs · Auth records · Service config · Terminal
Suraksha VDP
PlannedA legitimate route for findings: researchers report responsibly, organisations triage, fix, verify and give credit, with the whole lifecycle on the record.
- A defined channel for vulnerability reporting, not a support inbox
- Triage, fix and verify tracked end to end
- Researchers get credit on the record
The disclosure lifecycle has six stages: discover and report, done by the researcher; triage and fix, done by the organisation; verify, done by both; and recognise, done by the organisation.
- Researcher
Discover
A researcher finds something real.
- Researcher
Report
It goes to a defined channel, not a public thread.
- Organisation
Triage
The report is assessed, deduplicated and prioritised.
- Organisation
Fix
The issue is remediated with the finding on record.
- Both
Verify
The researcher confirms the fix holds.
- Organisation
Recognise
Credit is given, and the work becomes reputation.
Shastra
Pre-registration openData governance as infrastructure rather than paperwork, with a Compliance Copilot you can talk to instead of a dashboard you have to learn.
- Talk to it instead of learning a dashboard
- Integrate flexibly: the proxy and enforcement layers are optional
- Evidence produced as governance happens, not assembled after
“What's blocking our DPDP readiness?”
Four areas are holding you back. Here's the current state.
- Data inventory82% sources mapped
- Consent workflows64% need attention
- Retention policies71% defined
- Vendor reviews55% complete
- Evidence collected91% of current scope
Consent workflows are the highest-impact gap. Want me to walk through the three that need changes?
Astra
PlannedSecurity posture you can show a customer, a partner or a board, assessed against evidence rather than asserted in a questionnaire.
- Assessed against evidence, not a self-answered questionnaire
- Built for organisations asked to prove maturity in procurement
- No accreditation or ISO-equivalence claimed
Sequence: Assess, then Improve, then Verify, then Certify.
Why we build it in this sequence.
Not four bets placed at once. Each layer creates the conditions the next one needs.
01 · Skill has to exist first
02 · Skill needs somewhere to go
03 · Findings expose the real gap
04 · Maturity has to be provable
Intelligence, where it changes the work.
We use it where it changes the experience of security work, and say so plainly where it does not.
Shastra
CentralThe Compliance Copilot is the primary interface: describe what you need, inspect what it changes.
Suraksha Labs
Mentor, not solverHints and explanations that help you understand what you are looking at. It will not complete a lab.
Suraksha VDP
Triage assistancePlanned: summarising reports and spotting duplicates. Severity judgement stays with people.
Astra
Evidence organisationPlanned: assembling assessment evidence. Certification decisions stay human.
You will not find “AI-powered” attached to features where AI does nothing.
Digital scale arrived faster than the security ecosystem around it.
India put a very large share of daily life online in a very short time. The systems scaled; the security ecosystem around them did not scale with them.
What that gap actually looks like
What's built, what's next.
No customer logos, user counts or traction claims on this page, because they would not be true yet.
| Product | Status | Model |
|---|---|---|
| Suraksha Labs | Early access soon | Free |
| Suraksha VDP | Planned | Ecosystem |
| Shastra | Pre-registration open | Commercial |
| Astra | Planned | Commercial |
The things people ask first.
What is Shadow Security?
Why build four things instead of one?
Which parts are free and which are commercial?
Is Shadow Security an AI company?
What can I actually use today?
Where is Shadow Security based?
Partner, press or investor? Or just want to follow along?