Security Framework

KOSMOS V2.0 implements defense-in-depth with 6 security layers and comprehensive threat modeling.

6-Layer Defense Architecture

Layer Details

Layer	Components	Threats Blocked
Edge	Cloudflare WAF, DDoS, Bot Detection	Network attacks, bots, DDoS
Gateway	Kong, JWT, Request Validation	Unauthorized access, malformed requests
Identity	Zitadel, MFA, RBAC	Identity theft, privilege escalation
AI Security	Prompt Armor, Guardrails, PII	Prompt injection, data leakage
Runtime	Falco, Kyverno, Network Policies	Container escapes, lateral movement
Data	TLS 1.3, Encryption, Secrets	Data theft, credential exposure

STRIDE Threat Model

Spoofing

ID	Threat	Target	Risk	Mitigation
S-001	Session Hijacking	User sessions	High	Short-lived JWTs, refresh token rotation
S-002	API Key Theft	Service accounts	High	Key rotation, scoping, monitoring
S-003	Credential Stuffing	User accounts	Medium	MFA, rate limiting, breach detection

Tampering

ID	Threat	Target	Risk	Mitigation
T-001	Prompt Injection	LLM inputs	Critical	Input validation, guardrails, Prompt Armor
T-002	Data Modification	Database records	High	Audit logging, integrity checks
T-003	Model Poisoning	Training data	High	Data validation, provenance tracking

Repudiation

ID	Threat	Target	Risk	Mitigation
R-001	Action Denial	User actions	Medium	Comprehensive audit logging
R-002	Log Tampering	Audit logs	High	Immutable logging, log signing

Information Disclosure

ID	Threat	Target	Risk	Mitigation
I-001	Conversation Leakage	User data	Critical	Encryption, access controls
I-002	System Prompt Extraction	AI prompts	High	Prompt protection, guardrails
I-003	API Key Exposure	Credentials	Critical	Secret management, scanning

Denial of Service

ID	Threat	Target	Risk	Mitigation
D-001	Network DDoS	API endpoints	High	CDN, rate limiting, WAF
D-002	Resource Exhaustion	LLM calls	High	Quotas, circuit breakers
D-003	Agent Loops	Orchestrator	Medium	Loop detection, timeouts

Elevation of Privilege

ID	Threat	Target	Risk	Mitigation
E-001	Role Escalation	User permissions	High	RBAC, privilege auditing
E-002	Agent Privilege Abuse	Agent actions	High	Least privilege, sandboxing
E-003	Container Escape	Infrastructure	High	Security contexts, Pod security

AEGIS Security Flow

AI-Specific Security

Prompt Armor

class PromptArmorGuard:
    """AI security layer for prompt injection detection."""

    async def validate_input(self, user_input: str, context: dict) -> ValidationResult:
        results = await asyncio.gather(
            self._pattern_check(user_input),    # Known injection patterns
            self._semantic_check(user_input),   # ML-based detection
            self._context_check(user_input, context)  # Context validation
        )

        return ValidationResult(
            is_safe=all(r.is_safe for r in results),
            threats=self._aggregate_threats(results),
            confidence=min(r.confidence for r in results)
        )

    async def filter_output(self, model_output: str, request_context: dict) -> str:
        output = await self._redact_pii(model_output)
        output = await self._check_data_leakage(output, request_context)
        output = await self._validate_content(output)
        return output

Guardrails

• Input validation before LLM calls
• Output filtering for sensitive data
• PII detection and redaction
• Toxicity filtering
• Hallucination detection

Secrets Management

Using Infisical for centralized secrets:

class SecretsManager:
    async def get_secret(self, key: str, environment: str = "production") -> str:
        secret = await self.client.get_secret(
            secret_name=key,
            environment=environment,
            path="/kosmos"
        )
        return secret.secret_value

    async def rotate_secret(self, key: str, generator: Callable[[], str]) -> None:
        new_value = generator()
        await self.client.update_secret(secret_name=key, secret_value=new_value)
        await self._notify_rotation(key)

Compliance

Implemented Standards

Standard	Status	Features
GDPR	Compliant	Data subject rights, consent, amnesia protocol
CCPA	Compliant	Do not sell, data deletion, disclosure
UAE PDPL	Compliant	Local residency, consent, cross-border
NIST AI RMF	Implemented	AI risk management
NIST CSF	Implemented	Cybersecurity framework

In Progress

Standard	Target
ISO 27001	Certification in progress
ISO 42001	Gap analysis complete
SOC 2 Type II	Audit scheduled
Saudi PDPL	Q2 2026

Audit Logging

Immutable audit trail for all actions:

CREATE TABLE audit.events (
    id UUID PRIMARY KEY,
    event_type VARCHAR(100) NOT NULL,
    actor_type VARCHAR(20) NOT NULL,  -- 'user', 'agent', 'system'
    actor_id VARCHAR(100) NOT NULL,
    resource_type VARCHAR(100),
    resource_id VARCHAR(100),
    action VARCHAR(50) NOT NULL,
    details JSONB DEFAULT '{}',
    ip_address INET,
    created_at TIMESTAMPTZ DEFAULT NOW()
);

-- Prevent modifications
CREATE TRIGGER prevent_audit_modification
    BEFORE UPDATE OR DELETE ON audit.events
    FOR EACH ROW EXECUTE FUNCTION audit.prevent_modification();