RISK ADAPTIVE INTELLIGENCE

Your Tools Detect
Everything.

They Understand
Nothing.

Red Vector gives security teams the context to distinguish real threats from noise, before damage is done.

SOLUTIONS BY RISK

Risk-Adaptive Intelligence for Every Threat.

From shadow AI to privilege drift to coordinated fraud. Risk-Adaptive Intelligence powered by FULCRUM™ addresses the full spectrum of insider threats with contextual signals that tell you where risk is heading, not just where it was.

+$19M

Avg. cost of insider threat per org

67 Days

Avg. time to detect an incident

$M

Avg. cost of a data breach

RISK SCENARIOS

Contextual Intelligence Across Every Risk Scenario

FULCRUM™ doesn't replace your existing tools. It sits above them, ingesting signals and returning risk-adjusted, context-enriched guidance so analysts act on what matters.

Data Exfiltration & Pre-Departure Staging

An employee resigns and begins collecting sensitive data. Traditional tools see individual access events. Fulcrum™ sees a trajectory. Resignation notice, increased data access velocity, repository browsing outside role scope, communication pattern shifts, and cloud sync activity correlated with HR lifecycle signals. The RiskBrief™ Advisory issues before the data leaves the building.

HR Correlation

Access Velocity

Pre-Departure Window

Privilege Drift & Access Scope Expansion

Privilege accumulates gradually. Each individual permission grant looks legitimate. Over time the pattern emerges: gradual expansion of access scope, permissions that deviate from role norms, and probing of authorization boundaries. Fulcrum™ builds individual baselines for entities, detecting Action-to-Authorization Ratio shifts that population-level models miss.

Individual Baseline

Role Deviation

Pre-AAR Monitoring

Shadow AI & Unauthorized Tool Misuse

Consumer AI tools are invisible to DLP by design. Employees uploading sensitive data to ChatGPT, Gemini, or Copilot don't trigger the rules DLP was built to enforce. FULCRUM™ detects unauthorized AI tool usage, policy violations across unsanctioned services, and data movement patterns that legacy detection architectures were never built to see.

Shadow AI Detection

Policy Enforcement

DLP Enrichment

Credential Theft & Account Compromise

Stolen credentials look legitimate to every tool in your stack because they are legitimate. FULCRUM™ detects the entity behind the credential behaving differently than the person it belongs to: different access timing, different data targets, different velocity, and authentication anomalies correlated with behavioral pattern shifts. The credential is real. The context is wrong.

Behavioral Context

Auth Anomalies

Entity Profiling

Workforce Transition Risk

Pre-departure and onboarding windows are the two highest-risk periods in employment tenure. During transitions, baseline behavior shifts legitimately, which is precisely when malicious deviation becomes hardest to distinguish. Fulcrum™ elevates monitoring sensitivity at every lifecycle transition, applying tenure-aware modeling that adjusts expectations without losing signal.

Lifecycle Signals

Tenure-Aware Baseline

Onboarding Risk

Third-Party & Contractor Risk

External workforce entities operate with organizational access but without organizational loyalty. Most insider risk programs treat contractors as afterthoughts. Fulcrum™ applies the same entity-level baselines and contextual enrichment to vendors, contractors, and third-party personnel, surfacing risk signals from access patterns, engagement timelines, and cross-domain activity.

Entity-level Monitoring

Tenure-Aware

External Entities

AI Agent & Non-Human Entity Monitoring

AI agents, service accounts, and automated workflows now work alongside your teams and can access sensitive data, but your existing tools were not built to watch them. FULCRUM™ extends monitoring to these non-human identities, spotting prompt-injection drift, unusual API access, scope expansion, and automated data movement that break from normal behavior.

HR Agentic Monitoring

Prompt Injection

Non-human Entities

Coordinated Fraud & Multi-Party Schemes

Supply chain attacks, coordinated data theft, and multi-party fraud often go undetected when users and systems are analyzed in isolation. FULCRUM™ uses cross-entity correlation to spot the patterns these schemes create, such as suspicious timing, overlapping access, and coordinated communications that only appear when you analyze how entities interact.

Cross-Entity Correlation

Supply Chain

Fraud Detection

75%

Reduction in False Positives

50%

Reduction in Insider Risk Incidents

$57K+

Returned to Active Defense

$500K

Existing Stack Value Unlocked

Stop Buying Tools That
Increase Uncertainty.

Every alert your team can't investigate is a threat your stack just normalized. Schedule a technical briefing and see exactly what FULCRUM™ surfaces that yours doesn't.

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