Large vulnerability lists without a clear distinction between noise and real exposure.
Offensive security · AI security · assurance
Find what
scanners miss.
Manual penetration testing for web, API, mobile, cloud and AI systems. We combine automated breadth with expert-led exploitation to show what is actually reachable, exploitable and worth fixing.
The problem
Traditional testing can leave teams with more questions than answers.
Scanner output is useful for coverage. It is not enough to understand exploitability, business impact or what an attacker can do when several small weaknesses connect.
Theoretical issues that are difficult for engineering teams to reproduce or prioritise.
Security findings that do not reflect how identities, APIs, data and workflows interact.
A test that captures yesterday's architecture while the product keeps changing.
Why Lotus
Less noise.
More proof.
Security testing is useful when it helps someone make a decision. Every meaningful finding should explain what happened, why it matters and what closes the gap.
Test relationships between identities, features, APIs, data and trust boundaries — not just isolated endpoints.
Use automation for coverage, then investigate the weaknesses that require application context and judgment.
Reproduction, impact, affected assets, severity and practical remediation in a format engineering teams can use.
Verify fixes and give leadership a clean view of what was resolved and what remains exposed.
How Lotus is different
How we find what scanners miss.
The workflow is designed to move from broad visibility to specific evidence — and from evidence to a verified fix.
Recon
Map assets, technologies, endpoints, identities and exposed functionality.
Threat model
Identify valuable data, trust boundaries and the attacker paths worth testing.
Manual attack simulation
Test authentication, authorisation, business logic and system relationships with human judgment.
Exploit chaining
Connect weaknesses where the real risk is greater than any single finding.
Evidence
Capture reproducible steps, impact and affected assets so teams know exactly what happened.
Retest
Verify remediation and give stakeholders a clear view of remaining exposure.
Security capabilities
Test every layer
that can break.
Focused assessments or coordinated coverage across the attack surface. Built for product, engineering and security teams.
Web Application Security
Authentication, authorization, business logic, sessions, injection and exploitable application flaws.
View capability →API Security Testing
REST, GraphQL and workflow testing for BOLA, access-control failures, abuse and excessive data exposure.
View capability →Android & iOS Security
Static and dynamic analysis across storage, IPC, WebViews, deep links, authentication and backend APIs.
View capability →Cloud & Infrastructure
External exposure, identity boundaries, configuration weaknesses and realistic privilege paths.
View capability →AI & LLM Security
Prompt injection, tool misuse, data exposure, agent boundaries and application-layer AI abuse cases.
View capability →External & Network VAPT
Internet-facing services, authentication, segmentation and configuration risks across network boundaries.
View capability →AI security
Security testing for systems that did not exist five years ago.
LLM applications, RAG pipelines, agents and tool-calling workflows introduce new trust boundaries. We assess the model and the application around it.
Engagement model
From scope
to verified fix.
A defined process keeps testing focused and makes the outcome useful to both engineers and decision-makers.
Scope
Assets, accounts, exclusions, objectives and rules of engagement.
Discover
Map technologies, endpoints, identities, workflows and trust boundaries.
Exploit
Validate weaknesses manually and demonstrate realistic attack paths.
Report
Evidence, impact, remediation priorities and retest guidance.
“A vulnerability is significant not because it exists, but because of what it enables an attacker to do.”Lotus Enterprises · Security Philosophy
Built for teams that own the risk
Security is not just about finding vulnerabilities.
It is about understanding what they mean, how they can be exploited, and what should be done next.
Independent assurance
Validate systems, applications and architecture independently before security risks become business-impacting incidents.
Risk-based findings
Focus on vulnerabilities that present real attack paths and business risk—not simply a long list of scanner findings.
Actionable remediation
Provide reproducible findings with clear technical evidence, impact and practical remediation guidance.
Defensible evidence
Convert security testing into credible evidence for audits, regulatory requirements, risk reviews and governance.
Every engagement includes
Reports built to be used.
A Lotus assessment is designed to support both technical remediation and executive decisions.
What matters, overall themes and business impact.
Root cause, severity, affected assets and clear analysis.
Reproduction steps and evidence showing what can actually be done.
Practical guidance for engineering, product or infrastructure teams.
Verification that fixes work and remaining exposure is understood.
A structure that works for engineers, security leaders and management.
Standards & assurance
Methodology grounded in recognised security practice.
Lotus assessments can be aligned to relevant application, mobile, penetration testing and assurance frameworks based on the engagement.
FAQ
Questions teams usually ask.
Clear scope before testing starts means fewer surprises later.
What does a typical engagement look like?
We start with scope, objectives, access and constraints, then move through discovery, manual testing, validation, reporting and retesting.
Can Lotus test only one application or API?
Yes. Engagements can be tightly scoped to a single target or coordinated across multiple connected attack surfaces.
Do you support black-box, grey-box and white-box testing?
Yes. The access model is chosen to match the objective, environment and evidence required.
Can you assess AI applications and agents?
Yes. AI security work can cover prompt injection, data exposure, tool misuse, agent boundaries, RAG controls and application-layer abuse cases.
What happens after the report?
We support remediation and retesting so the engagement ends with a verified security outcome rather than a document alone.
Have a security risk you need to understand?
Bring us the risk
you’re uncertain about.
Tell us what you are building, protecting, or preparing for. We will help translate that uncertainty into the right security assessment and actionable outcomes.
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