Boni

Cybersecurity services

AI-native security audits that move from signal to authorized remediation.

Boni combines public exposure intelligence, authorized scanner sweeps, human validation, AI-assisted evidence review, and remediation workflows so security work becomes practical for business teams.

Audit evidence loop

Preview, authorize, validate, remediate

Public signal

Headers, TLS, DNS, exposed landing pages

Scope

Written target list, limits, and timing

Evidence

Scanner output, screenshots, notes, severity review

Closure

Fix guidance, retest, report-ready proof

High-volume checks are useful only when the boundary is clean.

Boni can offer disruptive scanner-led economics after authorization, but the public preview stays conservative: no login attempts, exploit payloads, credential checks, brute force, private data access, or stress testing.

1

Public exposure preview

Use DNS, TLS, HTTP, public-index, and surface metadata to identify useful heads-up signals without exploiting systems.

2

Written authorization

Convert a real signal into a narrow written scope: exact targets, dates, check types, limits, and reporting expectations.

3

Scanner plus human review

Run structured checks, normalize outputs, remove false positives, and escalate only evidence that survives review.

4

Remediation loop

Turn findings into owner-ready fixes, retest windows, closure evidence, and an audit report that a business can actually use.

AI-native edge

AI makes the audit faster; evidence makes it defensible.

The useful shift is not replacing security judgment with a chatbot. It is making the audit pipeline more repeatable, explainable, and operationally useful.

Evidence compression

AI helps turn noisy scanner output, headers, screenshots, logs, and notes into concise finding candidates while preserving raw evidence links.

Scale without sloppy claims

Large check volumes are useful only when triage is disciplined. Boni separates deterministic observations from interpretation and risk claims.

Business workflow fit

Findings become owners, priorities, tickets, retests, report sections, and client-ready summaries instead of dying in a PDF.

Human-controlled judgment

AI assists research, clustering, drafting, and remediation mapping. Scope, validation, disclosure, and severity decisions stay reviewed.

Start small, prove value, then expand the scope.

The commercial motion is designed for trust: a useful public heads-up, a narrow authorization, a concrete mini scan, and only then a broader paid audit.

Free public exposure preview

A light outside-in review of public metadata and obvious landing-page signals, used to decide whether a deeper audit is worth authorizing.

Authorized 500-check mini scan

A narrow, written-scope scanner sweep on one target to quickly separate benign surfaces from real work.

Starter web VAPT

A focused web, API, or admin-panel audit with validated findings, remediation guidance, retest support, and report pack.

Continuous exposure loop

Recurring public exposure review, scanner evidence intake, triage queues, remediation tracking, and leadership-ready summaries.

Built for teams that need action, not theatre.

Security reports should help leaders understand risk and help engineers fix it. Boni keeps public-preview claims, audit evidence, and remediation status separate so each step can be trusted.

Responsible disclosure discipline before commercial pressure

Public-preview findings separated from audit findings

Deterministic evidence logs before AI summaries

Remediation language written for engineering and leadership

Security work connected to Boni's wider operations, CRM, voice, and workflow stack

FAQ

Is Boni CERT-In empanelled?

No public claim of CERT-In empanelment is made here. Boni can help organizations prepare security evidence and run authorization-led audits, and any regulated requirement should be confirmed against the applicable current CERT-In rules and procurement needs.

Do you run scans without permission?

No. Boni separates pre-authorization public exposure preview from active audit work. Scanner-class checks, exploit validation, login testing, form submission, and API probing require written authorization and scope.

What makes the work AI-native?

Boni uses AI to organize evidence, cluster findings, draft remediation language, compare scan outputs, generate report structure, and keep remediation workflows moving. The underlying observations and authorization boundaries remain deterministic and human-reviewed.

Who is this best for?

Startups, SMEs, SaaS teams, agencies, ecommerce operators, education providers, and service businesses that need a practical audit, faster triage, and a report they can act on without enterprise-consulting overhead.