Coverage

80+ attack vectors under continuous watch

Custom AI model, detection framework, alerting logic, and investigation workflow, run by a 24×7 on-chain security monitoring team.

80+ attack vectors
In-house LLM
24×7 watch team

Live scan

The brain behind Chain Monitor

Purpose-built LLM for Chain Monitor

Not a general-purpose AI wrapper. An in-house language model, trained on this watch floor's detections, runbooks, and dispositions.

80+ Attack Vectors

Nine risk categories, 80+ individually modelled vectors
Each vector has its own detection rule and severity mapping
Each vector has a watch-floor runbook
Coverage is versioned as adversary tradecraft shifts

Multiple Chains Compatibility

One detection framework across major L1 and L2 networks
Chain adapters normalise transactions, calls, and bridge events
Same rules, severity model, and escalation path everywhere
Cross-chain movement tracked as one incident, not separate alerts

Inbuilt LLM Model

Built in-house by the C’ROC team for Chain Monitor
Not a public foundation model behind a prompt
Trained on on-chain telemetry and closed-alert dispositions
Context grounded in C’ROC runbooks, not open-web inference

Watch-floor impact

Advantages of an in-house detection brain

Named vectors, one workflow, evidenced reasoning, and tuning from live dispositions. Four results of C’ROC-built intelligence, not a bolted-on generic AI feed.

Vector-level precision

Alerts name the specific attack vector that fired, not a generic risk score, so triage opens with a hypothesis instead of a question.

One workflow, end to end

Detection, alerting logic, and the investigation workspace are the same system. Nothing is handed between tools and nothing is lost in the handover.

Explained, then evidenced

Every alert carries model-generated context tied to the runbook that governs it, and that reasoning is written to the audit record.

Tuned by the team that runs it

The watch floor working alerts 24×7 feeds dispositions back into detection tuning, so precision improves from operational reality, not a release cycle.

What we watch for

Detection catalog across 80+ attack vectors

Nine operational categories, each mapped to Chain Monitor detection logic and a watch-floor playbook.

Exploit-related fund movement

Large or rapid outflows from monitored contracts and treasury wallets
Transfers to unfamiliar destinations right after an exploit signature
Breaks from an address's historical transaction pattern
Watch Officer escalation within minutes of the first suspicious hop

Money laundering & mixer interactions

Interactions with mixers, tumblers, or flagged laundering infrastructure
Layering hops and structured splits that mimic wash patterns
Risk-intelligence match on known mixer and flagged-address sets
Audit-ready trail for ongoing AML / transaction monitoring

Sanction & high-risk exchange exposure

Direct transfers to sanctioned or high-risk exchange addresses
Indirect exposure a few hops through risky counterparties
Screening against sanctions and weak-KYC exchange datasets
Logged tx hash and address trail for Travel Rule / sanctions evidence

Flash loan attacks

Abnormal borrow volumes inside a single block
Price-oracle manipulation and multi-protocol attack shapes
Patterns that diverge from legitimate arbitrage or liquidation
Immediate post-execution response: freeze, alert, and fund-trace

Rug pulls & scam patterns

Sudden, complete liquidity removal from a monitored pool
Malicious minting or ownership abuse ahead of a sell-off
Trading functions disabled for everyone but the deployer
Baseline correlation so legitimate migrations are not misread as rugs

Suspicious wallet behavior

Dormant wallets that suddenly reactivate
Rapid-fire transfers across many addresses in a short window
New links to previously flagged counterparties
Human analyst judgment on every flag, AI only prioritizes the queue

Unauthorized transfers & privileged actions

New admin roles, config changes, and owner-only calls
Anything unfamiliar in this class treated as Critical by default
Immediate call and contextualized email at T0
Escalation timers armed the moment the action is detected

Cross-chain laundering patterns

Fund hops across bridges used to break a single-chain trail
Cross-network correlation so history does not reset at the bridge
Exploit-linked flows still recognized after the chain hop
Same fund movement treated as one story, not a fresh wallet

Smart-contract ownership & upgrade changes

Admin transfers, proxy upgrades, and permission changes
Each event scored against the contract's operational policy
Scheduled multisig upgrades distinguished from unexplained transfers
Early signal of key compromise or governance abuse

Around-the-clock global coverage

Security operations
around the world.

No matter where your team or your customers are, someone at C’ROC is already watching.

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