Investor Briefing

Security operations, rebuilt for the AI era.

The only AI security platform whose AI runs entirely on customer premises.

Security teams drown in millions of alerts a year. The vast majority are false positives. Hiring more analysts isn't working — and shipping their data to a cloud-AI vendor isn't acceptable. HuntJacq Labs builds the AI analyst that lives where the data lives.

$215B+
Global cybersecurity spend
Forecast by 2027 (Gartner). Security operations is one of the largest line items.
~80%
Alerts that are false positives
Industry-wide pain point. Analyst burnout follows. Talent supply can't keep up.
100%
On-customer-premises AI
No alert leaves the customer's network. The category-defining wedge for regulated buyers.

The security operations center is broken.

Three forces have collided. Together they've made traditional SOC tooling untenable for mid-market and enterprise buyers alike.

1

Alert volume has outgrown human capacity.

A typical mid-sized customer ingests millions of security alerts a month across firewalls, endpoints, identity, and cloud. Tier-1 analysts burn out reviewing repetitive false positives, and real incidents get buried in the noise.

2

Headcount can't scale.

Skilled security analysts are scarce and expensive. Salaries have climbed every year for a decade. Most organizations cannot afford the team they need, and 24/7 coverage remains aspirational for many.

3

Cloud AI is off the table for security data.

Defenders cannot ship logs, alerts, or investigation context to a third-party AI service. Compliance, customer contracts, and data-sovereignty rules forbid it. The biggest productivity wave in software is not reaching the people who need it most.

"Every CISO conversation lands in the same place: 'I love the idea of AI here. I cannot send my data to it.'" — Recurring quote, design-partner discovery

Our wedge: the AI lives where the data lives.

ARIA deploys entirely inside the customer's environment. Alerts, logs, and investigation context never leave the building. The AI reasons locally, escalates locally, and learns locally — and customers retain full custody of their data.

A simple, defensible position no major vendor occupies.
Cloud-native security vendors centralize data to deliver AI features. Established on-prem vendors don't have AI. ARIA is the only platform purpose-built for the intersection — and it's the intersection that regulated, mid-market, and managed-services buyers care about most.
What buyers ask about
Cloud-AI security vendors
HuntJacq Labs
Where customer data is processed
Vendor cloud
Customer premises
AI inference location
Vendor cloud
Customer premises
Compliance / data-sovereignty fit
Friction
Native fit
Suitable for managed-service partners with multiple end customers
Cross-tenant complexity
Designed for it
Operating cost predictability
Per-event AI billing
Flat per-customer

How ARIA works.

Plain-English summary. The product takes alerts in, makes a decision, and either closes them or hands them to a human with a written narrative — like a senior analyst would.

1

Connect

ARIA plugs into the customer's existing security tools — endpoint agents, network appliances, identity providers, and SIEM platforms. No rip-and-replace. The customer's existing investments keep working; ARIA sits on top.

2

Decide

For every alert, an on-premises AI analyst reads the context, pulls in similar prior cases, considers counter-arguments, and produces a verdict with a written explanation. The customer sees a paragraph an analyst can paste into a ticket — not a wall of raw logs.

3

Improve

Closed cases get reviewed independently and converted into reusable lessons — automatically. The system gets sharper each week without the customer hiring more analysts.

"The analyst's job changes from reading every alert to reviewing what the AI already decided. That's where the real productivity is." — ARIA design principle

The product, briefly.

A guided tour is available on request. A handful of screens below give the high-level shape.

A guided walkthrough of the full product is available on request. View the gallery →

Market & go-to-market.

The market is large, growing, and structurally underserved at the on-premises end.

Beachhead

Managed security service providers (MSSPs) and security-conscious mid-market enterprises. Both segments share the same constraint: customer data must not leave the premises, and analyst headcount is not scaling. ARIA is sold once and serves dozens of end customers.

  • Highest pain density, fastest sales cycle
  • One MSSP deployment carries multiple end customers
  • Strong word-of-mouth dynamics inside the segment

Expansion

Regulated industries — financial services, healthcare, public sector, defense, and critical infrastructure — share the same on-premises requirement and have the largest security budgets. The wedge that wins MSSPs is the same wedge that wins these buyers.

  • Larger contract sizes
  • Multi-year stickiness
  • Reference logos that compound

Why this couldn't have been built before — and why it has to be built now.

Local AI is finally good enough.

Open-weights AI models that run on a single GPU now match the quality buyers expect for security workflows. Two years ago this wasn't true. The hardware-software window opened recently — and it favors the company that designed for it from day one.

Cloud AI lost the security buyer.

Procurement teams now flag third-party AI processing as a contractual issue. What was once a "nice to have" exclusion has become a hard line. The market is actively rejecting the centralized model.

The talent pipeline isn't recovering.

Tier-1 analyst supply is structurally constrained. Schools, certifications, and immigration policy aren't producing analysts at the rate the threat surface is growing. AI augmentation is the only durable path forward.

Founder.

JP
Founder & Builder

Jay Prakash

Product-minded engineer who has shipped the entire ARIA platform end-to-end — ingestion, AI reasoning, the analyst experience, and the operations console. Operates with a small inner circle of advisors and a deliberate bias toward working software over slideware. Pre-customer pilot conversations are underway with managed-service partners.

Let's talk.

We're early. The product is real, the wedge is sharp, and we're looking for the right partners to help us scale into our first set of paying customers. If that's you, get in touch directly — no intermediary required.

Email the founder