How it works

Your data already knows. We make it act in time.

Attacks, fraud and wasted spend show up in your data days before anyone raises an alert. We check it every 15 minutes and act on it.

  1. 01As-is state We read every data source every 15 minutes for the as-is reality.
  2. 02Reality to outcomes We turn what it shows into outcomes across cyber, risk and digital.
  3. 03Turning it green We act on it where you allow it, human managed everywhere else.
When do you find out?Illustrative

Alerts and rules

First alertinvestigate, then fix

Human Managed

Found and fixedback to normal
−10 days−4day 0+5

Both rows have the same early signals. A rule can’t match them until day 0.

Most alerts arrive on day zero. The activity started days before.

Rules and alerts only catch what is already known. By then the problem is days old. We check every asset every 15 minutes against its own history, its peers and your policy, so you see it the day it starts.

One asset, one day · 96 checks across 6 sources00:00 · 0 of 96 checked

    Compared with
    Its own normalIts peersYour policyThe expected workflow
    NormalElevatedCriticalA person decidedNo data

    One account, one day, step by step.

    The same steps apply in cyber, risk and digital. Press play, or click any step.

    Three services, one set of data.

    That answer is one outcome. We run outcomes like it across cyber, risk and digital, and all three read the same data, so a finding in one is there for the others.

    Invicta

    Cyber

    “Is anything behaving differently from normal?”

    Find threats early, fix what matters first, and respond fast.

    • Detection and response across your estate, 24/7
    • Exposure ranked by what it would actually cost you
    • Incident response with the evidence assembled
    Spend it can replace at renewalSIEM and SOAR operationsScanners and posture toolsFor CISO, IT and security heads
    Explore Invicta
    AndNotOr

    Risk

    “Which accounts or transactions don’t fit?”

    Catch fraud, operational and compliance risk before it costs you.

    • Fraud and insider patterns caught before money moves
    • Operational risk: outages, failures and control gaps
    • Compliance exposure and audit readiness, continuously
    Spend it can replace at renewalRules tuning and case triageInsider-risk toolingFor CRO, fraud and compliance
    Explore AndNotOr
    ControlShift

    Digital

    “Which systems cost more than the value they support?”

    Grow revenue and cut waste from the same data.

    • The right offer to the right customer in the moment
    • Wasted cloud and operational spend cut
    • OT and industrial intelligence for uptime
    Spend it can replace at renewalInventory reconciliationOverlapping monitoring toolsFor CIO, CTO and CFO
    Explore ControlShift

    Across all three: are we ready for the regulator today? Evidence is kept all year, alongside the annual VAPT and audit reports.

    02 · Reality to outcomes · what comes first

    Your most important systems come first.

    We rank findings by what they would cost your business. A high on core banking goes before a critical on a test server, and each score shows why.

    Three findings

    1. Critical
      Test sandbox hostLow value
    2. High
      Core banking systemCrown jewel
    3. Medium
      Marketing websitePublic

    Ranked by severity alone, your team starts on the sandbox.

    03 · Turning it green

    We explain, we recommend, or we act within your scope.

    Once there is an answer, someone acts on it. For each outcome, you decide how much of that we do, and you can raise it later.

    Agent run

    Agents do the work.

    Human managed

    Agents do the work. People review it, approve it and set the limits.

    Human run

    People do the work themselves.

    Tier
    Stages agents run
    What agents do
    What people do

    We explain

    Foundational · intelligence
    IDEA

    We recommend

    Adaptive · intelligence and decision
    IDEA

    We act

    Autonomous · all four stages, within your scope
    IDEA

    You pay per outcome. When an outcome moves to a higher autonomy level, its price is reset at the next review. How we price →

    03 · Turning it green · What keeps it safe

    One system runs all three services.

    Agents only act inside limits we set together. The Intelligence Fabric enforces them.

    (s)eyark.ai
    Intelligence fabric

    One live picture of what's true, under all three services.

    Knowledge graph and agent orchestration reconcile every source into one state per entity. People ask questions and see the evidence behind each answer.

    Explore the fabric →
    • Scoped to your data AI stays inside your environment and the limits you approve.
    • Approval before action Nothing live runs without a person when you require it.
    • Evidence on every answer Each recommendation traces back to what was checked.

    03 · Turning it green · what changes for you

    We carry the operational workload. You keep the decisions.

    Most teams buy tools, then hire people to run them. We run that work for you.

    TodayWith Human Managed
    ToolsYou license and maintain SIEM, SOAR, scanners, fraud monitoring and a CMDBWe read them as sources. You keep the ones that earn their place
    PeopleAnalysts triage alerts and casesAgents do the work. Your people make the decisions
    EvidenceReports and audit evidence built by handEvidence attached to every answer
    BudgetA new line for every tool and every hirePaid from the tool spend you retire at renewal

    Proof

    Measured in live operations.

    Customer figures come from live operations, shared without names.

    Cyber

    Running cyber operations for a major ASEAN bank since 2018

    50 TB of data across 23 critical systems, and 2 billion transactions a day.

    Time to decision< 15 minranked, next step written
    Time to contain15 mindown from 12 hours
    Alerts handled9 in 10before they reach you
    Risks found9×more than the endpoint tool alone
    Risk

    What existing tools missed

    AI-misuse scenarios26 of 43mapped and seen in a live bank estate
    Prompt injectionDay onejailbreak and prompt injection flagged across 60,035 AI-assistant interactions
    Workstation risks16 of 18with no endpoint-tool alert, in one week
    Investigation1–2 hrsacross sources, every finding tied to its evidence
    Platform

    Every source, read as one picture

    Data streams90+from 20+ brands; any new source can join
    Assets modeled100K+across live environments
    Events a day3B+processed and materialized
    Data managed6 PB+across client estates
    Cost

    We retired our own tools first

    We tried it on ourselves. We replaced one module of a cloud security suite in weeks, then our behavior analytics, ticketing, SIEM and SOAR tools.

    Access

    Read-only, and every call logged

    Read-only collection with nothing to install. Every call is logged in your own cloud audit trail, and access can be removed in minutes.

    Run 24/7, to SLA

    From Singapore, Manila, Chennai and Phnom Penh

    Intelligence analysts, data and AI engineers, domain experts and service delivery, with HQ assurance in Singapore. Receive 30m · detect 1h · triage Sev 1 30m · respond P1 4h.

    ISO/IEC 27001:2022certifiedSOC 2 Type IIattestedMISAlicensed, Saudi ArabiaSnowflakeData Drivers Award, ASEAN 2024Google CloudAI Takeoff 2025Since 2018headquartered in Singapore

    Where to go next

    Read more before your next meeting.

    Grouped by what people ask after a first meeting.

    Questions we usually get

    “We already have a SIEM, a fraud engine and a CMDB.”

    We read them as sources and take over the work around them. You retire what overlaps at renewal, and keep the tools that earn their place.

    “Do we have to move our data?”

    No. We connect read-only to the tools and data stores you already run. Nothing moves to a new system to start.

    “Is it safe to run AI on our data?”

    The Intelligence Fabric scopes AI to your data, allows no live action without approval, and traces every answer to its evidence.

    “Are we locked in?”

    No. It is data-agnostic and model-agnostic by design. Models and tools change without changing the service, and your data stays yours.

    “Are you an MSSP or an MDR provider?”

    No. We are an AI-native service operator. Agents do the operational work, people oversee it, and you pay for outcomes, not headcount or seats. MSSPs and MDR providers can run their own services on our platform.

    “Do you replace our team?”

    No. Agents take the repetitive work. Your people keep their decisions and spend more time on work that needs judgment.

    All questions →

    Start here · Outcome 0

    Start with your own numbers.

    You can do the first four steps with your own team. We did them on our own tools first. Steps five and six are where we come in.

    Build your baseline

    Make the switch

    1. 1

      List tools and real cost

      License, hours, and what you actually use.

    2. 2

      Measure the baseline

      The three numbers, before any change.

    3. 3

      Pick one workload

      An underused tool, an easy-to-measure result.

    4. 4

      Decide what stays

      Keep the tools that earn their place.

    5. 5

      Ground Truth in two weeks

      Read-only, on your data. You keep the map.

    6. 6

      Move the spend at renewal

      We run the work, priced on outcomes.

    The three numbers your CFO, CEO, auditors and teams will all ask for

    License cost per yearHours to configure, maintain and runTime to close a finding