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We don’t hand you a bug list. We chain the bugs — and prove it.

Design, source, running app and AIBOM go into an ephemeral sandbox — we surface the individual weaknesses, then chain them into one proven exploit, and hand you the cheapest fix and a reusable rule.

AI Security Services · 2026

From weaknesses to one proven exploit.

We take in
Design docintent & threat model
Source coderepos & IaC
Running app + APIlive endpoints
AIBOMmodels · libs · agents
Ephemeral sandbox
Throwaway containerpulls every dependency, end-to-end execution
Individual findings
Design gapmissing control
Code flawexploitable path
Dependency CVEfrom the AIBOM
Runtime / AI findingprompt-inject · tool abuse
You get
Proven exploitchained · executed · evidenced
Cheapest fix pointshift-left · fix once
Reusable rulekills the whole class

Ephemeral by design

The sandbox is destroyed after each run; nothing your app touches persists.

Chained, not listed

A design gap + a code flaw + a dependency CVE from the AIBOM become one proven exploit.

Shift-left outcome

We show the cheapest place to fix and hand you a detection rule for the whole class.

The forcing function

AI security just became a legal obligation.

The EU AI Act phases in on a fixed calendar. Providers of general-purpose AI models with systemic risk have faced model-evaluation and adversarial-testing duties since 2 August 2025 (Art. 55; Commission enforcement powers from 2 August 2026); this binds model providers, not ordinary deployers. Art. 50 transparency obligations apply from 2 August 2026 (watermarking grace to 2 December 2026 for systems already on the market). High-risk obligations (Art. 9 for providers, Art. 26 for deployers) apply from 2 December 2027 for Annex III systems and 2 August 2028 for AI embedded in regulated products, as moved by the Digital Omnibus on AI (Regulation (EU) 2026/1744; confirm Official Journal publication). As of 4 October 2026. Mapping and orientation, not legal advice. Penalties run up to €35M or 7% of global turnover for prohibited uses, and up to €15M or 3% for most other obligations — confirm classification and dates with counsel.

A scanner gives you

A findings list

Raw output, no methodology, no framework tags, no verified fix — stale the moment the model changes. Not something an auditor can use.

An engagement gives you

Defensible evidence

Documented method, mapped findings, verified remediation, re-tested, structured the way regulators are asking for it. Closing that gap is what these engagements do.

Six ways to work together

Fixed-fee engagements, defined scope.

Every engagement is fixed-fee against a scope agreed before work begins — and the Security Assessment and Full AI Red Team engagements include a re-test after fixes ship.

Flagship

EU AI Act Readiness

2–3 weeks · fixed fee

Where you stand against Articles 9, 26 & 50 (and Article 55 if you provide a general-purpose model), delivered by our team, plus the evidence structure you will be assessed on. The Sargha product itself maps Art. 4, 10, 14 and 15.

  • High-risk classification review
  • Gap analysis vs. Art. 9 risk-management
  • Safety & Security Model Report — populated
  • Incident-reporting runbook + remediation plan

Best for Orgs with AI systems in EU markets, or facing a customer security review that now asks about AI governance.

Focused testing

AI Security Assessment

2 weeks · + 30-day re-test

Adversarial testing of one LLM application or agent, mapped to OWASP LLM Top 10 and MITRE ATLAS.

  • Prompt injection, jailbreak, instruction-override
  • Excessive agency & tool-access review
  • Conventional AppSec of the API surface
  • Severity-classified findings + verified re-test

Best for Teams with one production AI app who need defensible evidence before launch, or after a customer asks.

Deep engagement

Full AI Red Team

4 weeks · + 30-day re-test

End-to-end adversarial testing across the app, its retrieval layer, and its agent layer — including chained attack paths.

  • RAG: indirect injection, retrieval poisoning, tenant isolation
  • Agent/MCP: tool-call auth, confused-deputy
  • Chained privilege escalation, multi-turn attacks
  • Board-level executive summary + full technical findings

Best for Orgs running agentic systems with tool access, RAG over sensitive data, or multi-agent workflows.

Discovery

AI Discovery Assessment

1–2 weeks · fixed fee

What unapproved AI is actually running in your environment right now — the inventory a governance program starts from.

  • Endpoint sensor across Windows, Linux, macOS
  • Eleven signal classes — network, MCP & tool scope, keys, IDE assistants, skills, agents, mobile & more
  • Full inventory with attribution — machine, user
  • Risk-ranked, sanctioned vs. unsanctioned

Best for Security teams beginning an AI governance program who need a real inventory first.

Recurring

Continuous AI Testing

Rolling · 3-mo minimum

Point-in-time testing goes stale the moment a model changes. This keeps the harness running as your systems evolve.

  • Automated adversarial testing on a schedule
  • Regression suite — every finding becomes a test
  • Monthly framework-mapped report
  • Alerting on new AI systems & failure modes

Best for Teams shipping AI changes continuously, where an annual assessment cannot keep pace.

Advisory

Embedded AI Program

Ongoing · 6-mo minimum

Ongoing ownership of your AI risk program without a full-time hire.

  • Ownership of the AI risk register & red-team harness
  • AI security policy & standards
  • Board and audit-committee reporting
  • Direct support during audits & customer reviews

Best for Orgs adopting AI faster than their security function can govern it, without headcount to hire.

How it runs

Scoping to evidence in four steps.

  1. 01 · Scoping call

    Free, 30 minutes. If it is not the right fit, we say so — and tell you what would be.

  2. 02 · Fixed proposal

    Defined scope, fixed fee, fixed timeline. No hourly billing on defined work.

  3. 03 · Testing

    Weekly progress. Critical findings reported immediately, not held for the report.

  4. 04 · Report & re-test

    Findings, evidence, remediation roadmap — then a 30-day re-test to verify and document the fixes.

Why this practice

What’s different about our approach.

Auditable by design

Before the sensor is ever deployed, we walk you through exactly what it collects — and what it never touches. You review the agent’s behavior and data flow up front; few vendors let you look under the hood at all.

Evidence is the deliverable

Most engagements end with a findings list. These end with framework-mapped evidence, verified remediation, and an auditor-ready report.

Start here

Start with a scoping call.

Thirty minutes, no cost, no obligation. If what you need is smaller or different from what is listed here, we tell you — including if the honest answer is that you do not need an engagement yet.

Book a 30-minute call →

araghatta.com · discovery.test().prove()

Get started

See what AI is already running in your environment.

Start with a free assessment, or talk to us about scope — no rollout required to begin.

Request a free assessment →Book a scoping call