Service Tracks
4
AI security, red teaming, incident response, and readiness engineering.

Who We Are
Obscurity Labs is an engineering-led cybersecurity team supporting public and private sector missions. We secure modern attack surfaces across AI-enabled products, cloud environments, enterprise networks, and hardware systems through adversary emulation and incident response.
Service Tracks
4
AI security, red teaming, incident response, and readiness engineering.
Engagement Model
4-Phase
Mission framing through adversarial execution and operational readouts.
Delivery Style
Operator-Led
Hands-on collaboration with engineering, security, and executive teams.
Explore By Need
Start with a focused service area, then scale into broader security coverage as your risk profile evolves.
Secure LLM applications, agent workflows, and model-integrated products against modern AI-specific attack paths.
Validate exploitable risk across external, internal, cloud, application, and human attack surfaces with realistic adversary behavior.
Get hands-on support during active incidents to contain threats, investigate root cause, and restore operations safely.
Build durable defensive capability between incidents through readiness exercises and continuous control validation.
How We Engage
Each engagement is designed to create immediate signal, actionable remediation, and long-term resilience. We align technical testing to business impact so security teams, engineering teams, and leadership can act quickly.
Phase 01
We align on assets, threat assumptions, and constraints so test activity matches how your systems are actually used.
Phase 02
Our operators execute realistic attack paths against applications, AI workflows, infrastructure, and identity boundaries.
Phase 03
We partner with your defenders and engineers to convert findings into practical hardening actions that can be implemented fast.
Phase 04
We translate technical outcomes into decision-ready guidance for leadership while giving practitioners concrete next steps.
Representative Work
Examples below reflect the types of security challenges we solve across AI, enterprise systems, and mission-critical environments.
A production AI assistant required assurance against prompt injection, unsafe tool invocation, and sensitive-data exposure.
Approach: Performed adversarial testing across model inputs, retrieval context, and connected tool actions while mapping trust boundaries.
Value: Delivered guardrail and policy hardening guidance that reduced high-risk abuse paths prior to broader rollout.
Security operations needed to validate whether existing detections covered realistic intrusion behavior across cloud and on-prem systems.
Approach: Executed chained attack scenarios spanning external access, identity abuse, and lateral movement with defender collaboration.
Value: Identified detection blind spots and improved response playbooks through purple-team feedback loops.
An active compromise required immediate containment and clear decision support for both technical teams and leadership.
Approach: Embedded with responders to triage impact, contain adversary activity, and preserve forensic fidelity for investigation.
Value: Accelerated containment and recovery while establishing a remediation roadmap to prevent recurrence.
If your team is dealing with an active security event, we can coordinate rapid triage and containment with your responders.