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$ valina --module aegis
loaded /valina/aegis
$ status: operational
$ referrer: origin: homepage

AEGIS

AUTONOMOUS PROTECTION

27 specialized agents patrolling your digital frontier 24/7

AEGIS Promise: "While you sleep, we patrol. While you transact, we verify. While you explore Web3, we shield you from the shadows. AEGIS is not a feature—it's an ecosystem-wide immune system powered by 27 autonomous agents working in perfect coordination."

AEGIS represents a paradigm shift in blockchain security. Instead of reactive protection that responds after threats occur, AEGIS employs proactive autonomous agents that continuously monitor, analyze, and protect every aspect of the VALINA ecosystem.

27 SPECIALIZED AGENTS

Each agent has a unique role in protecting the ecosystem

🔍

TRANSACTION SCREENING

Real-time analysis of every transaction. Pattern recognition, anomaly detection, and risk scoring before confirmation.

ActiveReal-TimeML-Powered
📊

ADDRESS REPUTATION

Comprehensive reputation scoring for every address. Historical analysis, cross-chain tracking, and trust metrics.

ActiveCross-ChainTrust Score
🎣

PHISHING DETECTION

AI-powered detection of phishing attempts, fake dApps, and malicious smart contracts. Blocks threats before they reach you.

ActiveAI-PoweredPre-emptive
📝

CONTRACT AUDITOR

Automated smart contract analysis. Detects vulnerabilities, rug pull patterns, and malicious code before you interact.

ActiveAutomatedDeep Scan
🛡️

WALLET GUARDIAN

24/7 monitoring of your wallet activity. Alerts for unusual transfers, permission changes, and suspicious approvals.

Active24/7Alerts
🌐

NETWORK SENTINEL

Infrastructure-level protection. DDoS mitigation, node validation, and network health monitoring across the ecosystem.

ActiveInfrastructureDDoS Shield

HOW AEGIS WORKS

A multi-layered security mesh protecting at every level

1️⃣

PERIMETER DEFENSE

The first line of defense. All incoming requests are analyzed for known threat patterns, blacklisted addresses, and suspicious origins. 99% of common attacks are stopped here.

2️⃣

BEHAVIORAL ANALYSIS

Machine learning models analyze transaction patterns, timing, and context. Unusual behavior triggers deeper inspection even if no known threat patterns match.

3️⃣

DEEP VERIFICATION

Smart contract bytecode analysis, cross-chain intelligence gathering, and reputation aggregation from multiple decentralized sources. Zero-day threats are identified here.

4️⃣

CONTINUOUS EVOLUTION

Every blocked threat, every detected anomaly feeds back into the system. AEGIS learns, adapts, and improves with every interaction—a truly evolving immune system.

TRUST STORE REWARDS

Nodes running AEGIS earn GRAT for verified security contributions. Protect the ecosystem in exchange for honest earnings.

🔍

DOMAIN SCAN

$0.01 base per scan. Report domain results to the shared Trust Store and keep the web safe.

🚨

THREAT REPORT

$0.10 base per confirmed threat. Submit threat reports verified by consensus for the highest per-action reward.

SAFE VERDICT

$0.02 base per confirmed safe verdict. Help build the trust reputation of legitimate domains.

🖥️

SYSTEM SCAN

$0.05 base per full scan. Run malware and tracker checks to protect users at the system level.

🛡️

BLOCKLIST UPDATE

$0.03 base per update. Contribute blocklist updates from the browser extension to strengthen defenses.

HOW REWARDS WORK

Quality over quantity. Trusted nodes earn more. Anti-gaming measures prevent exploitation.

⚖️

RS-WEIGHTED

Higher-reputation nodes earn up to 1.75× base rate. Trusted scanners produce higher-quality verdicts and earn accordingly.

📈

$5/DAY CAP

Daily earnings are capped at $5 ($35/week). AEGIS rewards are a supplement for protecting the web — not a living wage replacement.

🛡️

ANTI-GAMING

10-scan minimum, 30-second cooldown, consensus confirmation required. Bots can’t farm rewards. Quality matters more than volume.

⚖️

PURE GRAT

AEGIS GRAT is plain GRAT — no RS boost, no governance weight, no supporter tier advancement. Subject to the same overflow and circulation rules as everything else.

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