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Agentic risk and security operations

Sentinel decides, investigates, and learns from every risk signal.

A unified AI platform for real-time fraud decisioning, autonomous security investigation, human-in-the-loop controls, and compliance-ready audit trails.

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Millisecondsto a risk decision
4 hrs → 4 minper investigation
Always onhuman oversight where it counts
Live investigation Autonomous agent chain
ACTIVE
Risk decision01
Threat intelligence02
IOC correlation03
Attack-technique mapping04
Human approval05
Agent planREADY
Orchestrator approval path

Classify the alert, spawn specialist agents, and pause for approval before any irreversible action.

One platform, end to end
Real-time decisioning Autonomous investigation Human oversight Continuous learning Compliance automation
The problem

Security & fraud ops are manual, siloed, and too slow

Teams drown in alerts they can't investigate, juggle disconnected tools, and watch their rules and models quietly go stale. Humans are the glue between every step.

Alert fatigue

A mid-size fintech receives thousands of alerts a day. Analysts can manually investigate only a fraction of them.

~10% investigated manually

Siloed tooling

Fraud decisioning and security investigation live in separate tools and separate teams. Context is lost at every handoff.

hours of manual correlation

Stale rules & silent drift

New attack patterns emerge daily, but rule updates are slow and manual — and analyst feedback rarely makes it back into the model.

models degrade unnoticed
How it works

Two autonomous pipelines, one platform

Sentinel decides on every transaction in real time — and when something looks high-risk, it launches a deep agentic investigation on its own.

PIPELINE 01

Real-time risk decisioning

Every transaction scored in milliseconds — live risk signals, scoring models, your own rules, and an AI judge for the gray zone.

Live risk signalsVelocity, relationships, and similarity in real time
Scoring modelsChampion and challenger models score every event
Your fraud rulesReadable rules with priorities, tags, and explanations
AI judgeReasons through uncertain calls → approve, deny, or review
Learns from feedbackAnalyst labels flow back into model retraining
PIPELINE 02

Deep agentic investigation

A high-risk alert triggers an orchestrator that spawns specialist agents, calls real security tools, and writes a full report.

Orchestrator agentClassifies the threat and builds a plan on the fly
Specialist agentsThreat intel, log analysis, IOC correlation, and technique mapping
Attack chain + reportExecutive summary, technique map, and shareable export

Human-in-the-loop on irreversible actions. Before an agent blocks a firewall or freezes an account, Sentinel pauses, surfaces the full reasoning, and waits for analyst sign-off.

The product

A command center for decisions and investigations

Everything analysts, risk teams, and leadership need — live agent reasoning, gray-zone explanations, entity graphs, and compliance-ready reports.

Investigations

Watch agents investigate, live

An orchestrator spawns specialists across three levels, each calling real tools and writing findings to a shared scratchpad. Scrub the timeline to replay exactly how the investigation unfolded.

  • Orchestrator → specialists → sub-agents hierarchy
  • Live event log, plan, and per-agent findings
  • Token budget and cost tracked in real time
demo.sentinel.kognivis.tech/investigations
Sentinel investigation agent tree showing orchestrator, specialists and sub-agents
Decisions

Every gray-zone call, explained

When a score lands in the uncertain range and no rule fires, the AI judge steps in. It reasons step by step — pulling the entity's history, weighing the signals, and explaining the verdict in plain language.

  • Transparent reasoning chain on every decision
  • Risk score, model, and decision path in one view
  • Explain, replay, and label — labels retrain the model
demo.sentinel.kognivis.tech/decisions
Sentinel decision explorer with AI judge gray-zone reasoning panel
Rules

Rules that write themselves

Describe a rule in plain English and Sentinel drafts it for you. Better still, it studies the fraud that slipped through and recommends new rules on its own — each with a clear rationale you can import in one click.

  • Plain-English rule creator — no syntax to learn
  • AI recommendations from missed-fraud analysis
  • Prioritize, toggle, and version every rule
demo.sentinel.kognivis.tech/rules
Sentinel rules page with plain-English rule creator and AI rule recommendations
Entity Profiler

See the fraud ring form over time

Profile any entity to get an AI investigation report, a time-sliced relationship graph, a narrative of how the ring formed, and a compliance-checked suspicious-activity report — drafted automatically from the findings.

  • Relationship graph with a time-travel slider
  • Ring-formation narrative with key events
  • One-click report draft with a compliance check
demo.sentinel.kognivis.tech/entity-profiler
Sentinel entity profiler with relationship graph, ring narrative and report generator
Analytics

Operations and economics at a glance

Decision volume, rule hit rates, signal drift, investigation duration, safety blocks, and cost per incident — the full health of your decisioning and investigation pipelines in one dashboard.

  • Approve, deny, and review breakdown over time
  • Drift detection across your risk signals
  • Cost attribution per incident and alert type
demo.sentinel.kognivis.tech/analytics
Sentinel analytics dashboard with decision volume, rule hit rates and signal drift
Capabilities

Everything you need to decide, investigate, and stay compliant

Multi-agent investigation

An orchestrator spawns specialist agents on demand — threat intel, log analysis, correlation, technique mapping, and remediation — and synthesizes one report.

AI-recommended rules

Write rules in plain English, and let Sentinel propose new ones from the fraud that slipped through — each with a rationale and a one-click import.

Safety on every action

Each agent action is screened for manipulation and checked against your policies before it ever runs — no exceptions.

Human-in-the-loop gates

Irreversible actions pause the workflow and surface the agent's reasoning. Approve, amend, or ask clarifying questions in plain language.

Automated SAR narratives

Suspicious-activity reports are drafted straight from investigation findings, run through a compliance check, and ready for an officer to review and file.

Compliance by default

A timestamped audit trail spans every decision, label, and human approval — an explainable record ready for the audits you have to pass.

Who it's for

Built for everyone in the loop

From the analyst triaging alerts to the leader reporting to the board — Sentinel does the heavy lifting, humans make the calls.

SOC analysts

Agents investigate autonomously. Analysts review the finished report and approve — they don't triage from scratch.

Fraud analysts

The LLM judge explains gray-zone calls, and every label they apply flows straight back into model retraining.

Risk & compliance

SAR narratives, audit trails, and investigation reports are generated from findings — no manual documentation.

ML engineers

Analyst labels become retraining data automatically — the feedback pipeline does the wiring, so there's no manual export to maintain.

Security leadership

Attack chains and executive summaries per incident — not per analyst-hour. Coverage that scales with the threat, not headcount.

See it on your data

Explore the live demo, then talk to us about a pilot.

Try the demo
Gets smarter every day

A system that learns from every signal

Most platforms go stale the day you deploy them. Sentinel closes the loop — every decision, label, and investigation makes the next one sharper.

01

Analysts label decisions

Every approve, deny, or correction an analyst makes is captured as a signal — no extra steps, no manual exports.

02

Feedback retrains the models

Those labels flow automatically into the training pipeline, so your scoring models keep pace with new fraud patterns.

03
RULE RECOMMENDATIONS

Sentinel proposes new rules

It studies the fraud that slipped past existing rules and drafts new ones — each with a plain-language rationale you can review and import in one click.

04

Investigations build memory

Findings update the platform's memory of every entity, so future investigations start with context instead of a blank page.

AI Rule Recommendation
zero_velocity_low_profileImport

Targets dormant accounts that move significant funds without tripping high-velocity rules — a common pattern in the fraud that slipped through.

92% match
learned from 50 missed cases
shared_device_ringImport

Flags clusters of accounts transacting from one device and IP within a short window — the signature of a coordinated ring.

88% match
<150msreal-time decision latency
4hr → 4minper-investigation time
One clickfrom finding to filed report
100%actions safety-checked
Get in touch

Let's put Sentinel on your data

Tell us about your alert volume and stack. We'll set up a walkthrough and a scoped pilot — no obligation.

  • Emailcontact@kognivis.tech
  • Explore the live demodemo.sentinel.kognivis.tech →
  • For fintechs, banks & SOC teamsAlert-fatigued and understaffed? Start here.

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