Secure Your AI Deployments
Before Attackers Strike
LLMs introduce attack surfaces that traditional security tools weren't built for. We help you find vulnerabilities, implement guardrails, and stay compliant—before a breach makes the decision for you.
New Attack Surface
LLMs introduce novel risks: prompt injection, jailbreaking, data exfiltration through model outputs, and training data poisoning. Traditional security tools don’t catch these.
Regulatory Pressure
The EU AI Act, NIST AI RMF, and ISO 42001 are creating compliance obligations for AI systems. Organizations need frameworks and evidence before auditors come knocking.
Trust at Stake
AI failures erode customer trust faster than traditional breaches. A single hallucination, data leak, or jailbreak making headlines can undo years of brand equity.
AI Security Services
End-to-end security for every stage of your AI lifecycle—from development to production monitoring.
AI/LLM Red Teaming
Break your AI before attackers do
Adversarial testing of your LLM-powered applications using real-world attack techniques. We probe for prompt injection, jailbreaks, data extraction, and logic manipulation.
- Prompt injection and jailbreak testing
- Training data extraction attempts
- Multi-turn manipulation and social engineering
- Tool-use and function-calling abuse
- Detailed remediation report with severity ratings
Best for: Organizations deploying customer-facing AI chatbots, copilots, or autonomous agents.
Guardrail Implementation
Defense-in-depth for AI outputs
Design and implement input/output filtering, content moderation, PII detection, and topic restriction layers to keep your AI systems safe and on-brand.
- Input sanitization and prompt hardening
- Output filtering and content classification
- PII and sensitive data detection
- Topic and brand safety guardrails
- Automated testing pipeline for guardrail regression
Best for: Teams shipping LLM features that handle sensitive data or interact with end users.
Compliance & Governance
Get ahead of AI regulation
Build an AI governance framework aligned to EU AI Act, NIST AI RMF, ISO 42001, and SOC 2 requirements. We help you document risk, establish oversight, and prepare for audits.
- AI risk classification and impact assessments
- EU AI Act readiness gap analysis
- NIST AI RMF alignment and documentation
- ISO 42001 implementation roadmap
- Board-ready AI governance reporting
Best for: Regulated industries and organizations preparing for AI-specific compliance requirements.
Model Security Assessments
Know what’s inside your models
Audit your AI supply chain: model provenance, training data integrity, fine-tuning pipelines, and third-party model risks. Catch poisoning and backdoors before deployment.
- Model supply chain audit and provenance tracking
- Training data integrity verification
- Fine-tuning pipeline security review
- Third-party model risk assessment
- Model card and documentation review
Best for: Organizations using open-source or third-party models in production systems.
Agent Security Architecture
Safe autonomy by design
Design secure architectures for AI agents with proper tool permissions, sandboxing, audit trails, and human-in-the-loop enforcement. Prevent agents from going off-script.
- Least-privilege tool permission design
- Sandbox and isolation architecture
- Comprehensive audit trail implementation
- Human-in-the-loop (HITL) enforcement patterns
- Agent escalation and kill-switch mechanisms
Best for: Teams building autonomous AI agents with access to tools, APIs, or sensitive systems.
Ongoing Monitoring
Continuous visibility into AI risk
Continuous monitoring of your AI systems for anomalous behavior, model drift, prompt injection attempts, and emerging vulnerabilities. Alerting and dashboards included.
- Real-time prompt injection attempt detection
- Model drift and performance degradation alerting
- Anomalous usage pattern identification
- Monthly AI security posture reports
- Integration with existing SIEM/SOAR tools
Best for: Organizations running AI systems in production that need continuous security assurance.
Frameworks We Cover
We align your AI security posture to the standards that matter.
Why OmegaBlack
- Dark web intelligence on emerging AI exploits, jailbreak techniques, and weaponized models
- Framework-agnostic approach: we work with OpenAI, Anthropic, open-source, and custom models
- Not a one-off audit—ongoing partnership with quarterly re-assessments and continuous monitoring
See Your Exposure
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