Threat ResQ

Company

About Threat ResQ Technologies

An AI-powered cybersecurity, compliance, and human risk management company with global operations across India, the Middle East, UK, USA, and ASEAN — built as a platform first, a services company second.

Delivery Methodology

How an engagement actually runs

The same lifecycle applies whether you're deploying one product or the full platform — discovery through quarterly review, with one accountable lead throughout.

  1. 1

    Discover

    Week 1

    We map your current environment — products in scope, existing controls, compliance obligations, and where human risk is concentrated.

  2. 2

    Baseline

    Weeks 1–2

    Initial assessments run across whichever products or services are in scope — a CKQ baseline for TRISA, a control gap analysis for getTRAC, an attack surface scan for DomainShield IQ.

  3. 3

    Deploy

    Weeks 2–4

    Products go live with configuration matched to your environment, not a generic default. Services engagements (VAPT, SOC onboarding, etc.) run in parallel where scoped.

  4. 4

    Operate

    Ongoing

    Continuous monitoring, adaptive training, and evidence collection run automatically. Your named engagement lead stays assigned, not rotated.

  5. 5

    Review

    Quarterly

    Quarterly business reviews cover readiness scores, compliance posture, and open findings — the same reporting your board or auditor will ask for.

Engagement Principles

What we hold ourselves to

One named lead, not a rotating queue

Every engagement has a single accountable lead from kickoff through renewal.

Configured, not templated

Deployment maps to your actual environment and control set, not a generic onboarding flow.

Evidence from day one

getTRAC starts logging compliance evidence during deployment, not after the first audit request.

Board-ready reporting by default

Quarterly reviews are built in the format security leaders actually present upward, not a raw export.

Our Story

From services floor to platform

Origin

Built by practitioners, not marketers

Threat ResQ started from a services floor, not a slide deck — running VAPT engagements, SOC shifts, and compliance audits for organizations that kept hitting the same wall: the tooling assumed a security team that already had time to spare.

Turning point

From reactive services to a platform

The pattern repeating across engagements was human-dependent, reactive management — a control gap found in an annual audit, a phishing click discovered after the fact, evidence assembled the week before a renewal. We built getTRAC, TRISA, DomainShield IQ, and SOC+ to close those gaps continuously instead of annually.

Today

A connected cybersecurity ecosystem

These four products already work together as one connected ecosystem today — not a roadmap promise: a DomainShield IQ finding informs TRISA's readiness score, a TRISA click informs TRAP's next simulation, getTRAC logs it all as evidence automatically. TIARA, our AI Cybersecurity Advisor, sits on top of the same graph, not a separate chatbot bolted on afterward.

Mission & Vision

What we're building toward

Mission

Move cybersecurity from human-dependent reactive management to AI-powered proactive automation.

Not automation for its own sake — automation aimed at the specific failure mode we kept seeing in the field: risk that's only visible after it's already been exploited.

Vision

A single connected platform where every signal — human, technical, and regulatory — informs every decision.

Most organizations run five disconnected tools for phishing, compliance, attack surface, and monitoring. We think that fragmentation is the actual vulnerability, not any one gap in any one tool.

Why Threat ResQ

What makes the platform different

One signal graph, not five disconnected tools

TRISA, getTRAC, DomainShield IQ, and SOC+ share findings automatically. A phishing click, a compliance gap, and an exposed domain are one risk picture, not three separate dashboards to reconcile by hand.

Evidence generated continuously, not assembled before an audit

getTRAC logs compliance evidence as a byproduct of normal operation across every connected product — the scramble before a renewal audit is the thing this is built to eliminate.

An AI advisor grounded in what's actually true

TIARA answers from the same knowledge graph the platform runs on, cites its sources, and says plainly when it doesn't have a grounded answer — instead of a chatbot that guesses confidently.

A named engagement lead, not a support queue

Every deployment keeps one accountable lead from kickoff through renewal, per the delivery methodology on our About page — continuity a rotating support queue can't offer.

Explore the product ecosystem →

Manifesto

The beliefs behind the products

The industry built better locks. Attackers went around them.

Firewalls got better. Endpoint detection got better. The technical perimeter is, by most measures, stronger than it's ever been. Breaches kept happening anyway, because the perimeter was never the whole problem — one person, one click, one moment of misplaced trust routes around every technical control at once.

Annual training was never going to fix a daily problem.

A once-a-year module proves someone sat through a video. It doesn't measure whether they'd recognize a real attempt at 4pm on a Friday. We built TRISA to measure and adapt to actual judgment — a Cyber Knowledge Quotient, not a completion checkbox — because the gap was never awareness. It was behavior under pressure.

Compliance evidence shouldn't be a fire drill.

The week before an audit is the worst possible time to discover a control was never actually implemented. getTRAC exists so that evidence accumulates as a byproduct of how the platform already runs, mapped once across every framework it satisfies — not re-assembled from scratch each cycle.

An AI advisor should behave like your best analyst, not a script.

TIARA doesn't answer from general knowledge, and it doesn't pretend to know something it doesn't. It reasons from the same graph the platform runs on, cites what it's grounded in, and says so plainly when a question needs a person instead of a model. That's the bar for anything we ship with "AI" in the description.

We are building for the organization that has to prove it, not just do it.

Security work that can't be evidenced, reported upward, and defended to an auditor or a board isn't finished — it's invisible. Every product here is built to leave a trail, on purpose, because the organizations we serve have to answer for their security posture to someone else.

Want to see how this maps to your environment?

We'll walk through the discovery phase in the first call, no commitment required.

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