We partner with engineering and platform teams across North America, Europe, and APAC—designing provable security from LLM guardrails to multi-cloud landing zones. Headquarters in Calgary anchor us, but our operators embed wherever your builders are.
12+
years hardening cloud-native platforms worldwide
140 + engagements
across SaaS, energy, public sector, and fintech
6 + regions
supported with follow-the-sun coverage
How we partner
Every engagement starts with co-owned hypotheses, transparent instrumentation, and fast feedback loops between builders and defenders.
Designed for velocity
Lightweight guardrails, automated controls, and codified patterns fit to modern delivery teams.
Security as narrative
We translate detection gaps and AI risks into roadmaps your executives and engineers rally behind.
Partner-level access
Direct access to senior operators, red teamers, and AI risk leaders—not a hand-off to junior staff.
Trusted by builder-led teams
Global reach, local context
Our distributed team supports launches across the Americas, EMEA, and APAC. We align to your delivery cadence with hybrid collaboration—anchored by our Calgary headquarters and strengthened through a trusted global partner network.
Wherever your teams build—from startup labs to regulated enterprises—we meet you there with measurable impact.
Partners call us when they need senior operators who can translate complex threats into action—and coach teams while doing it.
Design safe, resilient AI experiences with controls from prompt to production.
Harden multi-cloud environments with developer-friendly guardrails.
Automate security in build pipelines without slowing shipping velocity.
Emulate credible adversaries and close detection gaps fast.
Translate security into board-level strategy and measurable programs.
Prepare, respond, and learn faster when incidents happen.
We connect findings to real attacker behavior, customer impact, and board priorities. Every artifact reads like a narrative, not a dump of controls.
Security only works when teams adopt it. We embed with engineering, write the Terraform, tune the evals, and ship pull requests side-by-side.
The same team that models LLM abuse cases can also harden your landing zone and CI/CD. No silos, faster signal.
75%
reduction in high-risk vulnerabilities by sprint three
We prioritize the fixes that unblock launches and pair with engineers to land them.
4.6
average security CSAT from product & platform teams
Our work feels collaborative—not a ticket factory—so adoption sticks.
<24h
to instrument new detection or guardrail in production
We arrive with proven patterns and reusable assets to accelerate change.
Transparent cadence, clear owners, and measurable checkpoints from day one.
01
Week 0-1
Intensive working sessions with engineering, product, and risk leaders to define mission outcomes, success metrics, and what “good” looks like in your language.
02
Week 1-2
Hands-on assessments of AI features, pipelines, and infrastructure; build hypotheses, instrumentation plans, and prioritized response backlog.
03
Weeks 2-5
Implement guardrails, policies, and detections alongside your team. Pair with maintainers so improvements land in code, infra, and documentation.
04
Weeks 5+
Operationalize metrics, train champions, and hand off playbooks. Stay engaged as fractional leaders or red team partners as you scale.
We publish practical guides that help teams secure AI and cloud-native platforms.
2025-10-09
Prevent prompt injection, data leakage, and insecure tool use in LLM features.
2025-09-19
Identity boundaries, logging, and automated guardrails that teams adopt.
2025-08-11
Upskill product squads to own AI guardrails, evaluation metrics, and incident response.
“Aabvin moved us from PowerPoint risk to automated guardrails in production. Engineers trusted them because they shipped code, not checklists.”
“Their AI threat modeling and red-team exercises gave us the confidence to launch generative features to enterprise customers ahead of schedule.”
Let’s build the security story your customers will believe
Book a discovery session and we’ll outline a no-surprises plan focused on the metrics that matter to you.
