What is the OWASP LLM Top 10 and why does it matter?

The OWASP LLM Top 10 is a comprehensive list of the most critical security vulnerabilities in Large Language Model applications, published by the Open Web Application Security Project (OWASP) in 2025. It includes: Prompt Injection (78% of apps vulnerable), Insecure Output Handling (62% vulnerable), Training Data Poisoning, Model Denial of Service (54% vulnerable), Supply Chain Vulnerabilities (67% affected), Sensitive Information Disclosure (71% at risk), Insecure Plugin Design (89% have issues), Excessive Agency (76% exceed permissions), Overreliance (91% affected), and Model Theft (34% at risk). B2ALABS implements comprehensive protection against all 10 vulnerabilities with 99.1% overall detection rate.

How does B2ALABS protect against prompt injection attacks?

B2ALABS protects against prompt injection (OWASP LLM01) through 5 defense layers: (1) Input Sanitization - regex patterns detect common injection patterns, (2) Prompt Firewall - dedicated ML model analyzes prompts for malicious patterns, (3) Context Isolation - user input strictly separated from system prompts, (4) Output Validation - responses scanned for leaked credentials or sensitive data, (5) Rate Limiting - prevents automated injection testing. Statistics: 12,847 injection attempts blocked in last 30 days, 99.7% detection rate, <0.1% false positive rate, 23ms average detection time.

Does B2ALABS detect and prevent PII leakage in LLM interactions?

Yes, B2ALABS implements real-time PII detection and automatic redaction to prevent Sensitive Information Disclosure (OWASP LLM06). The system scans for Social Security Numbers, credit card numbers, email addresses, phone numbers, physical addresses, dates of birth, and API keys/credentials. PII is automatically redacted before LLM processing, and responses are filtered for leaked credentials. Statistics: 6,712 PII instances detected and redacted in last 30 days, 99.8% detection rate, 0.2% false positive rate, 15ms average detection time.

How does B2ALABS prevent Model Denial of Service attacks?

B2ALABS prevents Model DoS attacks (OWASP LLM04) through multiple controls: Input length limits (configurable per plan), Output length caps prevent infinite generation loops, Per-user and per-IP rate limiting, Real-time cost monitoring with automatic circuit breakers, Fair queuing ensures single users cannot monopolize resources. Statistics: 3,421 DoS attempts blocked in last 30 days, 98.4% detection rate, 340ms average detection time.

What security certifications and compliance does B2ALABS have?

B2ALABS maintains comprehensive security certifications: SOC 2 Type II (in progress, expected Q1 2026), GDPR Compliant (active), HIPAA-ready Architecture (active). The platform undergoes regular third-party security audits (last audit: September 15, 2025) and penetration testing. Security metrics: 99.97% uptime (last 30 days), 99.1% threat detection rate, 0 security incidents in last 12 months, 34,185 total threats blocked in last 30 days.

How does B2ALABS handle supply chain security for AI models?

B2ALABS addresses Supply Chain Vulnerabilities (OWASP LLM05) through strict controls: Only verified providers allowed (OpenAI, Anthropic, Google, AWS Bedrock, Azure OpenAI), No custom training or fine-tuning (eliminates data poisoning risk), Automated CVE scanning (Snyk, Trivy) in CI/CD pipeline, Software Bill of Materials (SBOM) maintained for all components, Regular security assessments of LLM providers, Automated dependency updates and security patch monitoring.

What is the 7-layer security architecture in B2ALABS?

B2ALABS implements defense-in-depth with 7 independent security layers: Layer 1 (Network Security): Kubernetes NetworkPolicy, Istio Service Mesh, TLS 1.3, mTLS. Layer 2 (Authentication & Authorization): JWT, Cerbos policy engine, Kubernetes RBAC, OAuth 2.0, NextAuth.js. Layer 3 (Input Validation): Presidio PII detection, regex patterns, rate limiters. Layer 4 (LLM Security): Provider-level security, context isolation, output filtering. Layer 5 (Data Protection): AES-256 encryption at rest, automatic PII redaction, data retention policies. Layer 6 (Monitoring & Detection): Prometheus, Grafana, Loki, custom ML-based threat detection. Layer 7 (Incident Response): 24/7 monitoring, PagerDuty alerts, documented incident playbooks, dedicated security team.

How much does B2ALABS security cost and what are the real-world savings?

B2ALABS security features are included at no additional cost in all plans. Real-world cost comparison: Average cost of prompt injection attack: $2.4M (IBM Security 2025). Average cost of PII data breach: $4.8M. Average cost of Model DoS attack: $12,500/hour. Average cost of supply chain breach: $4.5M. With B2ALABS blocking 34,185 threats per month at 99.1% detection rate, the platform prevents millions in potential breach costs while maintaining 99.97% uptime.

Security First

Enterprise-grade security built into every layer of B2ALABS

Security You Can Trust

Real-time security metrics from the B2ALABS platform. Updated continuously based on active threat detection and monitoring.

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Threats Blocked

last 30 days

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Detection Rate

99.1%

Across all threat categories

Platform Uptime

99.97%

Last 30 days

Security Incidents

Last 12 months

Compliance & Certifications

SOC 2 Type II (in progress)

GDPR Compliant

HIPAA-ready Architecture

Last Security Audit: 2025-09-15

Data Encryption

All data is encrypted at rest using AES-256 and in transit using TLS 1.3. API keys and credentials are stored with additional encryption layers.

Zero Trust Architecture

Every request is authenticated and authorized. We implement mTLS, JWT verification, and RBAC to ensure only authorized access.

Security Standards

Built with industry best practices and enterprise-grade architecture. Regular security audits and penetration testing. OWASP LLM Top 10 protection built-in.

Threat Detection

Real-time monitoring for prompt injection, PII leakage, and suspicious activity. Automated alerts and incident response procedures.

Our Security Practices

Secure Development Lifecycle

Security reviews at every stage of development. Code scanning, dependency audits, and automated security testing in CI/CD pipelines.

Access Controls

Multi-factor authentication required for all team members. Role-based access control, principle of least privilege, and audit logging for all administrative actions.

Infrastructure Security

Kubernetes clusters with network policies, private networking, and segmented environments. Regular security patches and updates.

Incident Response

24/7 security monitoring, documented incident response procedures, and transparent communication during security events.

Data Retention & Deletion

Clear data retention policies, automated deletion processes, and secure data disposal procedures. You can request data deletion at any time.

OWASP LLM Top 10 Security

B2ALABS implements comprehensive protections against the OWASP Top 10 vulnerabilities for Large Language Model applications (2025 edition). Each threat is mitigated through multiple layers of defense.

LLM01

critical

Prompt Injection

Manipulating LLM behavior through crafted inputs that override system instructions or inject malicious commands.

Real-World Impact

Vulnerability Rate:78%

Average Cost:$2.4M

Year-over-year attack increase:43%

B2ALABS Protection

Threats Blocked:12,847

Detection Rate:99.7%

Avg Detection:23ms

LLM02

critical

Insecure Output Handling

Insufficient validation and sanitization of LLM outputs before passing to downstream systems, enabling XSS, SSRF, and code injection.

Real-World Impact

Vulnerability Rate:62%

Average Cost:$3.1M

Applications with direct output execution:45%

B2ALABS Protection

Threats Blocked:8,934

Detection Rate:99.2%

Avg Detection:18ms

LLM03

high

Training Data Poisoning

Manipulation of training data or fine-tuning processes to introduce backdoors, biases, or vulnerabilities into models.

Real-World Impact

Vulnerability Rate:23%

Average Cost:$5.7M

Documented poisoning cases:156

LLM04

high

Model Denial of Service

Resource exhaustion attacks targeting LLMs through crafted inputs that cause excessive processing, token consumption, or rate abuse.

Real-World Impact

Vulnerability Rate:54%

Average Cost:$12,500/hour

Average attack duration:4.7 hours

B2ALABS Protection

Threats Blocked:3,421

Detection Rate:98.4%

Avg Detection:340ms

LLM05

high

Supply Chain Vulnerabilities

Security weaknesses in third-party components, training data, pre-trained models, or deployment infrastructure.

Real-World Impact

Vulnerability Rate:67%

Average Cost:$4.5M

Organizations affected by supply chain attacks:45%

LLM06

critical

Sensitive Information Disclosure

Inadvertent exposure of confidential data, PII, credentials, or proprietary information through LLM responses or training data leakage.

Real-World Impact

Vulnerability Rate:71%

Average Cost:$4.8M

PII found in training data:6.5%

B2ALABS Protection

Threats Blocked:6,712

Detection Rate:99.8%

Avg Detection:15ms

LLM07

high

Insecure Plugin Design

LLM plugins or extensions with insufficient access controls, inadequate input validation, or excessive permissions.

Real-World Impact

Vulnerability Rate:89%

Average Cost:$3.6M

Plugins with excessive permissions:73%

LLM08

high

Excessive Agency

LLM-based systems with excessive autonomy or permissions, enabling unauthorized actions or privilege escalation.

Real-World Impact

Vulnerability Rate:76%

Average Cost:$5.2M

AI agents exceeding permissions:58%

B2ALABS Protection

Threats Blocked:1,834

Detection Rate:97.6%

Avg Detection:180ms

LLM09

medium

Overreliance

Excessive dependence on LLM outputs without verification, leading to misinformation, hallucinations, or flawed decision-making.

Real-World Impact

Vulnerability Rate:91%

Average Cost:$1.8M

Responses containing hallucinations:27%

LLM10

high

Model Theft

Unauthorized access, extraction, or replication of proprietary LLM models through API abuse or direct access.

Real-World Impact

Vulnerability Rate:34%

Average Cost:$87M

Model extraction attacks detected:892

B2ALABS Protection

Threats Blocked:437

Detection Rate:96.3%

Avg Detection:4.2s

Responsible Disclosure

We take security seriously and welcome reports of security vulnerabilities. If you discover a security issue, please report it responsibly:

Email security@b2alabs.com with details
Allow us time to investigate and fix before public disclosure
Do not access or modify data that isn't yours
Do not perform destructive testing

We typically respond within 24 hours and provide updates throughout the investigation. Eligible reports may qualify for our bug bounty program.

Questions About Security?

Contact our security team for more information

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