Vector Labs builds AI-assisted security systems that strengthen enterprise defenses through controlled adversary emulation, detection engineering automation, and AI guardrail validation.
We help organizations measure what matters:
Built by operators. Designed for defenders.
Learn moreVector Labs is a research-driven cybersecurity firm focused on defensive innovation through adversarial methodology.
We develop AI-assisted tools that simulate real-world attack behaviors under strict authorization to:
Our mission is simple: Make defensive security measurable, provable, and continuously improvable.
Traditional security answers: "Do we have detections?"
Vector Labs asks: "Can we prove they work against realistic adversary behavior?"
We believe in:
AI-Assisted Malware Triage Engine
Sentinel accelerates malware analysis and behavioral classification by extracting behavioral indicators from binaries, mapping activity to MITRE ATT&CK, generating detection logic, and producing SOC-ready analysis summaries with remediation guidance.
Designed for: SOC teams, threat intelligence analysts, incident responders. Sentinel reduces triage time from hours to minutes while preserving analyst oversight.
Detection Engineering Automation Platform
Forge converts adversary simulation outputs into Splunk queries, Sigma rules, KQL logic, behavioral detections, and telemetry coverage maps. Capabilities include gap identification in SIEM pipelines, false positive refinement, ATT&CK coverage scoring, and purple-team validation workflows.
Forge bridges the gap between red team findings and blue team action.
Controlled Adversary Emulation Framework
VectorSim is a structured adversary simulation system for authorized lab-based emulation, telemetry validation, EDR coverage testing, and defensive blind spot discovery. Features include human-in-the-loop execution, controlled scope boundaries, detection efficacy scoring, and report-ready insights.
VectorSim does not automate exploitation. It automates defensive validation.
Enterprise LLM Guardrail Evaluation Platform
Aegis evaluates enterprise AI deployments for prompt injection resistance, retrieval poisoning, tool misuse in agent systems, context poisoning, data exfiltration risks via RAG, and guardrail bypass resilience. It provides structured adversarial test harnesses, measurable injection resistance scoring, safe reproduction documentation, and mitigation recommendations.
As AI becomes embedded in enterprise workflows, Aegis ensures it remains secure.
We turn adversarial insight into measurable defensive improvement—connecting simulation to detection, malware to mitigation, prompt injection to guardrail reinforcement, and AI deployment to AI resilience.