Vedha™
vedha - piercing, going through to what is inside
Authorized penetration testing on a release cadence, not a quarterly one.
At a glance
- Category
- Autonomous Security Testing
- Theme
- Security & Assurance
- Industries
- Technology, Financial Services, Healthcare, Public Sector
- Capabilities
- 7 composed
- Pairs with
- Parikshan, Sutradhar
Who it is for
- Security teams covering more surface than headcount allows
- Compliance owners needing evidence ahead of an audit deadline
- Internal red teams extending coverage between manual exercises
Systems it sits on
GitHub Actions · GitLab CI · Jira · Neo4j
Pairs with
Parikshan · Sutradhar
Explainer
Vedha in five minutes
A narrated walkthrough of the problem, how Vedha works, and what changes.
Vedha is an autonomous multi-agent penetration testing platform for authorized security work. A goal is decomposed into an ordered plan, specialist agents carry out reconnaissance, discovery, and exploitation attempts inside an ephemeral sandbox, and a knowledge graph retains what has been found so later work builds on it rather than repeating it. Findings arrive as a structured report mapped to control areas. Because agents reason about whether a finding is genuinely exploitable, false positive rates fall well below signature-based scanning.
The problem
Manual penetration tests cost tens of thousands and land weeks after the code has already changed, leaving a blind spot between engagements that grows with every deploy.
The outcome
Pentest-quality findings produced continuously against authorized scope, with reasoning and evidence attached to every finding.
How it works
How Vedha works
- 01
Scope and authorize
A target and goal are defined against scope the customer explicitly authorizes.
- 02
Plan and decompose
The goal becomes an ordered set of subtasks, refined as the environment reveals itself.
- 03
Execute in a sandbox
Tooling runs inside an ephemeral container so the target environment is never put at risk.
- 04
Report with evidence
Findings are categorized by control area with severity, exploitability reasoning, and remediation.
Module 01
Goal Decomposition
A stated testing goal broken into an ordered plan of scoped subtasks.
- 02
Sandboxed Execution
Every tool and script runs inside an ephemeral container, isolated from the target environment.
- 03
Knowledge Graph Memory
Discovered assets and relationships retained across subtasks and sessions instead of rediscovered.
- 04
Structured Reporting
Findings categorized by control area with severity and remediation, ready for a compliance file.
- testing cadence instead of quarterly
- Continuoustesting cadence instead of quarterly
- findings assessed for exploitability, not pattern-matched
- Reasonedfindings assessed for exploitability, not pattern-matched
Integrations
Ideal for
- Security teams covering more surface than headcount allows
- Compliance owners needing evidence ahead of an audit deadline
- Internal red teams extending coverage between manual exercises
- Engineering organizations gating deploys on security findings
Capabilities
Vedha composes these capabilities from the shared Agent Platform layer. The same atoms power the rest of the portfolio, so adopting a second accelerator reuses the integration work rather than repeating it.
Composition
Vedha is assembled from shared platform atoms. Hover a partner to see what you reuse on the next deployment.
- Workflow Orchestration
- Specialist agents coordinated across a multi-step process, each handing structured context to the next.
- Generative Design
- Designs, tests, and code generated from stated intent and checked against constraints before a human reviews.
- Root-Cause Reasoning
- Symptoms traced back through system, process, and genealogy relationships to the change that caused them.
- Risk Scoring
- Severity, likelihood, and exposure quantified consistently so prioritization survives an audit.
- Evidence & Audit Trail
- Every input, decision, and action captured as tamper-evident evidence a regulator or auditor can follow.
- Human Approval
- Explicit approval boundaries: anything consequential waits for a person, and the wait is recorded.
- In-Boundary Deployment
- The whole system runs inside the customer's own cloud, network, or on-premise boundary.
Act
Reason
Reason
Reason
Govern
Govern
Govern
FAQ
Is this only for systems we own?
Yes. Vedha runs against scope the customer authorizes, and authorization is part of configuring a run.
Can it run without sending data to an external model?
Yes. It is provider-agnostic and can run against a locally hosted model so reasoning stays inside your network.
Does it replace manual red teaming?
No. It extends coverage between engagements and handles breadth; experienced testers remain better at depth and novelty.