Behavioral Security
for AI Agents
On-Chain
We monitor your AI agents the way Hexagate monitors your smart contracts. Per-agent behavioral baselines detect compromise before damage is done.
They monitor contracts. We monitor agents. You need both.
AI Agents Are Managing Billions. Who’s Watching Them?
Hexagate monitors contracts. Hypernative monitors protocols. Nobody monitors the AI agents operating on them — until now.
$25M TVL
Theoriq Alpha Vault
Theoriq Alpha Vault — managed by autonomous AI agents
200K+
ERC-8004 Verified Agents
ERC-8004 verified agents on 6 chains
$285M
Drift Protocol · April 2026
Drift Protocol — compromised agent drained vault in 12 minutes
When a compromised AI agent uses valid credentials to propose a normal-looking transaction, Hexagate approves it.
SentinelCRE catches it.
$168.6M
Lost in Q1 2026 · 34 hacks
92%
Security pros concerned about AI agents
$30T
Projected agent economy by 2030
55.88%
Smart contract vulns AI can auto-exploit
Three Layers. No Single Point of Failure.
The SentinelCRE 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
SentinelCRE catches attacks at every stage — from obvious exploits to subtle frontier-class threats.
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 — frontier classes discovered through our adversarial sandbox, mechanics withheld for responsible disclosure
Even with compromised admin access, SentinelCRE blocks 96.1% of attacks.
The 2 remaining attacks are frontier AI-agent classes our adversarial sandbox surfaced — scenarios no existing security system prevents. Mechanics withheld for responsible disclosure.
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 SentinelCRE 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 SentinelCRE Makes
Same attack, two outcomes. Based on real incidents — Drift ($285M, DPRK 6-month op), Ronin ($625M), Bybit ($1.5B).
Without SentinelCRE
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 SentinelCRE
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 SentinelCRE 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 frontier AI-agent attack classes, social engineering
Layer 2+3 catch: prompt injection, velocity bursts, anomalous 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 SentinelCRE 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
Start monitoring your AI agents today.
One engagement. We attack you the way real attackers would. You learn something regardless of whether you buy more.