Executive Command Center

Demo environment · simulated telemetry

Live —
Use case: Convert distributed signal into a single, authoritative call to action for executives and the SOC. Alert authority
Open critical alerts
5
Verified · noise filtered
Target MTTD
2.4 hr
Industry avg: 194 days
Verified signals (24h)
132
+18 vs prior day
AI accuracy
97.3%
FP rate 1.8%

Authoritative alert feed

Priority queue

    Threat velocity (24h)

    Signals / hour

    Posture summary

    Encrypted channel coverage10 / 10
    Detection speed (p50)3 min
    Supply-chain vendors watched6 critical
    ZK baselines active14,820

    Paradigm shift at a glance

    Dimension Traditional Gjallarhorn
    Timeline 194 days average detect 3-minute detection · 2.4 hr MTTD target
    Focus First-party perimeter Full supply-chain ecosystem
    Sources Public historical databases IAB threads, encrypted channels, forums
    Privacy Vendor honeypot / single point of failure Zero-knowledge · data never leaves enterprise
    Use case: Intercept active session cookies in underground channels and issue instant kill commands — before MFA bypass becomes account takeover. Real-time intercept
    Active threats
    2
    Require kill decision
    Kills (session)
    14
    100% neutralized
    Kill latency
    45–180ms
    API command path
    Channels watched
    4
    Telegram IAB streams

    Traditional path

    1. Detects stolen password in a public database
    2. Issues “Change Password” command
    3. Result: Reactive — attacker already bypassed MFA months ago using stolen session cookies

    Gjallarhorn intercept

    1. Intercepts active session cookie in a Telegram log channel
    2. Instant API command: Kill active session
    3. Result: Proactive — session terminated in real time, account takeover neutralized

    Live session threats

    Click Kill session to simulate response
    Session Identity System Source Risk Status Age Action

    Intercept log

    Use case: Anticipate supply-chain attacks — map interdependencies and sever API connections before a vendor breach reaches the enterprise. Early warning
    Vendors at critical
    1
    Vendor X isolated
    Under surveillance
    6
    Critical third parties
    API paths severed
    3
    Lateral paths blocked
    Warning lead time
    hours
    vs 292-day dwell window

    Interdependency map

    Vendor X
    YOUR ENTERPRISE Vendor A Vendor B Vendor C Vendor D VENDOR X ⚠ ALERT
    SYSTEM WARNING
    Early warning: Vendor X credentials detected in an IAB channel. Gjallarhorn proactively severs API connections before the vendor’s breach reaches the enterprise network.

    Surveillance log

    Third-party risk table

    Sever API to simulate containment
    Vendor Risk Signal Action Lead time Control
    Use case: AI synthesizes identity context + threat signal into a single attackability score — focusing IR on systemic financial impact. Priority engine
    Critical scores
    1
    CFO + fresh infostealer
    High priority
    2
    Admin / DevOps
    Ensemble latency
    45–250ms
    Real-time scoring
    False positive rate
    1.8%
    Noise suppressed

    Scoring equation

    Role / privilege + Signal freshness & source = Attackability score → action

    Example: Chief Financial Officer + Fresh infostealer log on Telegram = CRITICAL (immediate automated session kill)

    Live score matrix

    Identity role Signal Weight Score Directed action

    Synthesis stream

      Use case: Enterprise-scale breach intelligence without accessing plaintext — local hashing, zk-SNARKs, private-chain integrity. We know nothing
      Local baselines
      14,820
      Hash only · on-prem
      Continuous scans
      902,441
      Dark-web hash compares
      Hash mismatches
      37
      Anonymous alerts only
      zk-SNARK proofs
      37
      Cryptographically verified

      Privacy-preserving monitor path

      Gjallarhorn Local Client

      Employee / vendor data stays here. Hashed locally into an unreadable string.

      Anonymous hash mismatch

      Only the alert travels. No plaintext. No PII to the cloud.

      Stagic Cloud Engine

      “We know nothing, and we can’t access your data.”

      Cryptographic loop

      1. Local baseline — Client data stays on origin systems, hashed into an encrypted string.
      2. Blockchain verification — Transaction hash logged on a private chain for immutable integrity.
      3. Continuous scan — Global crawlers hash intercepted dark-web data and compare against the encrypted baseline.
      4. The alert — On mismatch, notification is sent. Gjallarhorn never decrypts or touches plaintext.

      ZK engine log

      Use case: Board-level economics — MTTD/MTTC compression and complete resolution deliver modeled $3.45M savings per incident. $3.45M / incident
      Modeled savings / incident
      $3.45M
      MTTD + MTTC + resolution
      Cost avoided (demo)
      $3,450,000
      Live counter
      Industry MTTD
      194 days
      Legacy baseline
      Gjallarhorn MTTD
      2.4 hr
      Manageable isolated alert

      Financial equation waterfall

      $1.21M
      MTTD
      reduction
      +$0.82M
      MTTC
      reduction
      +$1.13M
      Complete
      resolution
      $3.45M
      Total
      savings

      Gjallarhorn pays for itself in milliseconds during a single thwarted credential attack. DevSecOps automation and real-time interception deliver measurable, board-level business value.

      MTTD compression

      Industry average

      194 days

      Gjallarhorn target

      2.4 hr
      A reduction in MTTD of this magnitude fundamentally shifts a cyber event from a systemic crisis to a manageable, isolated alert.

      Enterprise advantage checklist

      Predictive supply chain

      Early warnings on third-party vendor compromise.

      Proactive threat intel

      Pre-breach IAB ecosystem — not historical DBs.

      Actionable alerts

      Live session threats over stale passwords.

      Uncompromising privacy

      True ZK — data never leaves the enterprise.

      Cryptographically verifiable

      Blockchain integrity of breach notifications.

      Economic impact

      $3.45M potential IR cost savings via speed.