AI Cybersecurity
for the Age of
Credentialed Attackers
We monitor what every actor does — human or AI, web2 or web3 — and block threats before they execute.
Your credentials are valid. Your actor isn’t.
Credentials Are the New Perimeter.
And they’re being compromised everywhere. Same pattern, three different worlds:
$200M+
Target / Fazio Mechanical · 2013
A 12-person HVAC contractor had network access to Target for electronic billing. Attackers phished one employee, stole valid credentials, and walked through Target’s network to exfiltrate 40 million credit cards.
The credentials were valid.
The behavior wasn’t.
$285M
Drift Protocol · April 2026
Attackers spent six months building trust with Drift contributors. They pre-signed administrative transactions using a legitimate Solana feature, then drained $285M in 12 minutes.
Every credential was authorized.
The behavior was anomalous.
3 AM
The next AI agent compromise
An AI agent with valid API credentials to your payment processor starts making transfers at 3 AM to accounts it’s never interacted with. Your identity system sees an authorized agent.
Our behavioral system sees
an attack in progress.
Identity tells you who has access.
We tell you whether what they’re doing makes sense.
$2.9B
BEC losses · FBI 2024
$1.2B
Construction BEC · 2023
$1.5B
Bybit hack · 2025
$625M
Ronin Bridge · 2022
Three Layers. No Single Point of Failure.
The Scoprix Behavioral Platform evaluates every action — across smart contracts, REST APIs, email workflows, and financial systems — through three independent layers.
Layer 1
On-Chain Policy
Hard-coded guardrails no AI can override. Value limits, contract whitelists, function blocklists, rate limiting, Proof of Reserves.
Layer 2
Behavioral Scoring
12 proprietary dimensions across 4 categories detect anomalies in real-time. Catches what rules alone cannot — value analysis, behavioral patterns, interaction monitoring, temporal analysis.
Layer 3
Dual-AI Consensus
Two independent AI models evaluate every suspicious action. Both must approve. One dissent blocks.
Even if both AI models are compromised, on-chain policy catches the violation. Defense in depth — not defense in hope.
Watch It In Action
A Drift-style $50,000 ETH drain attempt — blocked in real-time.
Watch an Attack Get Blocked
A Drift-style emergency withdrawal attempt caught at Layer 1.
Layer 1
Policy Check
StandbyLayer 2
Behavioral
StandbyLayer 3
Dual-AI
StandbyBlocked
Circuit breaker activated — agent frozen
How We Compare
CrowdStrike doesn’t do web3. Hypernative doesn’t do web2.
Nobody combines red team + behavioral platform across both.
CrowdStrike
Web2 EDR
- Web2 + Web3
- Behavioral monitoring
- Pre-execution blocking
- Red team service
- Multi-AI consensus
Hypernative
Web3 monitoring
- Web2 + Web3
- Behavioral monitoring
- Pre-execution blocking
- Red team service
- Multi-AI consensus
Mandiant
IR consulting
- Web2 + Web3
- Behavioral monitoring
- Pre-execution blocking
- Red team service
- Multi-AI consensus
Scoprix
Full-spectrum
- Web2 + Web3
- Behavioral monitoring
- Pre-execution blocking
- Red team service
- Multi-AI consensus
Comparison based on publicly available capabilities. We’re a complementary layer to most of these — partnership opportunities available.
Even With Compromised Access
Scoprix catches attacks at every stage — from obvious exploits to subtle behavioral mimicry.
Attacker Gains Access
Admin keys compromised, credentials stolen, or agent hijacked
Layer 1 — Policy Enforcement
Blocked functions, value limits, contract whitelist, rate limiting
Layer 2 — Behavioral Scoring
12 proprietary dimensions across value analysis, behavioral patterns, interaction monitoring, temporal analysis
Layer 3 — Dual-AI Consensus
Two AI models evaluate social engineering, injection, impersonation
What Gets Through
Only 2 attacks pass — both require compromised admin + perfect behavioral mimicry
Even with compromised admin access, Scoprix blocks 96.1% of attacks.
The 2 remaining attacks require compromised access + perfect behavioral mimicry — a scenario no existing security system prevents.
Don’t Trust Us.
Verify On-Chain.
Every blocked attack is logged as an on-chain event with the attempted dollar value. Unlike traditional security vendors who self-report, our protection is cryptographically provable.
Auditors, regulators, and protocol DAOs can independently verify every action Scoprix has taken — no trust assumptions required.
Intelligent. Not Expensive.
Not every transaction needs AI evaluation. Deeper analysis only triggers when our behavioral engine detects something suspicious.
All Transactions
100% evaluated
Layer 1 — On-Chain Policy
Included with every transaction. Near-zero marginal cost.
Layer 2 — Behavioral Analysis
5-10% of transactions trigger deeper inspection.
Layer 3 — Dual-AI Consensus
1-2% escalate to full AI evaluation.
1st Place
Chainlink Convergence 2026
112 Tests
7 suites, all passing
51 Scenarios
96.1% catch rate in sandbox
6 Services
Deep Chainlink CRE integration
The Difference Scoprix Makes
Same attack, two outcomes. Based on real incidents — Drift ($285M, DPRK 6-month op), Ronin ($625M), Bybit ($1.5B).
Without Scoprix
Traditional security — audits, multisigs, kill switches
Attacker Reconnaissance
UNDETECTEDWallet created, test transfers, probing limits
Drift: DPRK actors spent 6 months building trust — conferences, $1M deposited, same group behind Radiant Capital ($50M)
Access Compromised
UNDETECTEDAdmin keys stolen, multisig bypassed, credentials phished
Ronin: 5 of 9 validator keys compromised over weeks
Initial Drain
STOLENFirst unauthorized withdrawal — test the exploit
AIXBT: 55 ETH drained at 2 AM while operators slept
Escalation
STOLENAdmin functions called — ownership transfer, proxy upgrade
Drift: compromised contributor devices via poisoned repos and IDE vulnerability — multisig keys extracted
Full Drain
BANKRUPTTreasury emptied, vault collapsed, protocol dead
Drift: $285M stolen — TVL collapsed from ~$550M to under $250M in 12 minutes
Total Lost: $1.8B+
Company bankrupt. Protocol dead.
With Scoprix
Proactive 12-dimension behavioral defense
Attacker Reconnaissance
Same probing attempts — but behavioral engine is watching
Layer 2 detects: interaction anomaly spike, unusual timing
Access Compromised
Keys compromised — but Scoprix doesn't rely on keys
Layer 1 catches: blocked functions (transferOwnership, grantRole)
Drain Attempted
Attacker tries withdrawals — policy limits trigger
Layer 1 catches: value exceeds limits, unapproved targets
Subtle Exploitation
Attacker tries behavioral mimicry, social engineering
Layer 2+3 catch: prompt injection, velocity bursts, drift
Result
96.1% of attacks blocked — company survives
Circuit breaker fires, agent frozen, incident logged on-chain
Total Saved: $1.8B+
Company operational. Protocol alive.
How Much Would Scoprix Save You?
Enter your protocol's TVL to see your estimated risk and protection.
ROI Calculator
See how much Scoprix could save your protocol based on industry attack data.
Annual Attack Risk (3% avg)
$3.0M
Scoprix Catches (96.1%)
$2.9M
Value Saved Per Year
$2.9M
Return on Investment
80x
Real-World Comparison
Drift Protocol: $500M TVL lost $285M (54%)
With Scoprix: $285M x 96.1% = $259.7M saved
Let us break in. We’ll show you what attackers see.
One engagement. We attack you the way real attackers would. You learn something regardless of whether you buy more.