Cybersecurity
Defense that thinks like the attacker and moves at their speed.
Attackers move at machine speed, and every AI feature you ship widens the attack surface. We work the way they do, then get ahead of it. Models learn what normal looks like across your logs, network, and endpoints; automation contains incidents in seconds; guardrails protect the AI itself. Detection and offense map to MITRE ATT&CK and MITRE ATLAS, our AI-risk work follows the OWASP LLM Top 10 and the NIST AI Risk Management Framework, and a human stays in the loop on every decision that carries weight.
What you get with Cybersecurity
Senior specialists own each capability end to end — secure by default and mapped to the standards that matter.
AI-driven threat detection
Machine-learning models read your logs, network, and endpoint telemetry to catch novel and low-and-slow attacks that signatures never see — each finding tied to a MITRE ATT&CK technique.
Behavioral analytics & UEBA
We baseline how your people and systems normally behave, then surface the deviations that mark account takeover, insider risk, and lateral movement before they become an incident.
Autonomous & adaptive response
SOAR playbooks contain threats in seconds; adaptive zero-trust tightens access the instant a risk signal spikes. Assume-breach by default, human approval on anything high-impact.
AI-SOC analyst copilot
A generative copilot triages alerts, correlates signals across your tools, and drafts incident timelines and next steps — so a lean team investigates with the reach of a much larger SOC.
GenAI-assisted red teaming
Adversary emulation and penetration testing across web, API, cloud, and identity, aligned to MITRE ATT&CK. You get exploit-backed, prioritized findings — not a scanner dump.
LLM & GenAI application security
We harden the AI you're building against prompt injection, jailbreaks, insecure output handling, training-data and model poisoning, and sensitive-data leakage — assessed against the OWASP LLM Top 10.
AI red teaming & model governance
Adversarial testing of your models and agents, mapped to MITRE ATLAS, plus a model inventory, evals, and guardrails that keep AI behavior monitored and accountable.
AI risk & compliance
Governance mapped to the NIST AI RMF and ISO/IEC 42001, alongside SOC 2, ISO 27001, and HIPAA controls — evidenced and maintained continuously, not assembled the week before an audit.
Deliverables
- Attack-surface map, threat model, and AI asset inventory
- AI/ML detection and UEBA tuned to your own telemetry
- SOAR playbooks and an adaptive zero-trust rollout plan
- LLM/GenAI security assessment against the OWASP LLM Top 10
- AI governance program (NIST AI RMF and ISO/IEC 42001)
- Monitoring, alerting, and rehearsed incident-response runbooks
Tools & technologies
How the work runs.
A predictable path from a fixed first milestone to production and beyond — with weekly demos and shared dashboards throughout.
- 01
Discover
We map your goals, constraints, and threat model, then commit to a fixed first milestone.
- 02
Design
Architecture, interfaces, and security controls are decided before a line of production code ships.
- 03
Build
Senior engineers deliver in weekly increments, with demos, shared dashboards, and tests you can see.
- 04
Operate
Monitoring, incident response, and iteration — we stay accountable long after launch.
Ready to ship something that stands up to real attacks?
Book a free consultation. We'll walk your goals, your threat model, and the fastest secure path to launch — no obligation, and senior engineers on the call, not account managers.