About Vyro.ai
Vyro.ai is a fast-growing Gen-AI and SaaS powerhouse revolutionizing how the world creates, designs, and ideates. With a suite of AI-driven creative tools used globally, Vyro empowers millions of users to turn imagination into production-quality output — instantly.
From text-to-visual engines to AI assistants powered by the latest frontier models, Vyro unites cutting-edge ML and user-first design to make creativity radically accessible.
By the Numbers
Scale & Impact
Flagship Products
An AI-powered design studio that transforms simple text prompts into stunning visuals — logos, posters, concept art, product renderings, and more.
"Your imagination, rendered."
An intelligent AI assistant integrating top global LLMs — including ChatGPT-4o, Claude 3.5 Sonnet, and Gemini 1.5 — to streamline tasks, accelerate ideation, and provide deep, contextual answers across work and life.
Challenges
Vyro is scaling fast — but with scale comes complexity, risk surface expansion, and the security responsibilities of a rapidly growing AI platform.
1. No Dedicated Security Team — Security Owned by Engineering
At Vyro, security responsibilities sit primarily within the engineering team — a group with deep technical expertise but a fast-moving delivery schedule. As the company scaled, day-to-day security work increasingly competed with product priorities. The challenge wasn't capability; it was bandwidth. With rapid growth came an expanding attack surface, and engineering simply didn't have the time or operational capacity to maintain continuous visibility and structured security operations alongside core product development.
2. Fragmented Visibility Across Cloud, SaaS & AI Services
Between AWS, Kubernetes clusters, containers, microservices, Cloudflare, and a growing SaaS stack, Vyro's environment was rich but fragmented. Key questions — Who owns this asset? What depends on it? Is it exposed? Where does this config drift originate? — all required jumping between multiple tools. Without a unified, contextual map tying everything together, the team faced inevitable visibility gaps that made it difficult to fully understand the environment or trace risk back to its source.
3. Vulnerability Volume Without True Prioritization
Vyro's scanners surfaced thousands of vulnerabilities and configuration issues, but none of the tools provided clarity on what actually mattered. Severity scores alone didn't account for business context, asset sensitivity, exposure paths, or downstream impact. Engineers were left sifting through long lists of raw findings with no clear indication of which issues could lead to real compromise, which created noise, delays, and uncertainty in remediation decisions.
4. No Insight Into Attack Paths or Blast Radius
While Vyro could see individual vulnerabilities, it had no way to understand how attackers could chain issues together across the environment. The team lacked visibility into how an exposed asset could lead to lateral movement, what critical systems sat downstream, or how misconfigurations and IAM gaps could converge into a single exploit chain. Without attack-path modelling or blast-radius analysis, engineers were forced to fix issues in isolation rather than addressing the structural risks that truly mattered.
5. Manual and Time-Consuming Compliance Work
As Vyro entered new markets and prepared for SOC 2 and ISO 27001 readiness, compliance obligations became more frequent and more demanding. Evidence collection — from asset states to configurations to access reviews — was entirely manual, spread across screenshots, export files, and ad-hoc notes. Without automated mapping of risks to controls or a live view of compliance posture, engineers spent valuable cycles assembling reports rather than strengthening security itself.
To strengthen their internal defenses and prepare for enterprise-level compliance, Vyro partnered with Secure.com — embedding the Digital Security Teammate, an always-on analyst that scales security without expanding headcount.
The Secure.com Implementation Journey
Stage 1: Kickoff & Alignment
The partnership began with a joint deep-dive between Vyro's engineering leadership and Secure.com's team. Rather than jumping straight into integrations, both sides aligned on what success would look like within Vyro's fast-paced, AI-driven environment. The priorities were clear: gain full visibility into a rapidly expanding cloud footprint, reduce noise across the security stack, model real attack paths, and prepare the foundations for SOC 2 and ISO 27001 readiness — all without adding headcount or slowing down product velocity.
From the very first session, Vyro made one thing explicit: they didn't want another tool. They needed clarity, context, and continuity. With that, Secure.com provisioned the Digital Security Teammate ("Alex") as a virtual member of the team — integrated into Slack, connected to AWS, and ready to begin discovery immediately.
"Our engineering velocity is high, and Secure.com is the first security platform that keeps up. It contextualizes risks instantly and gives us the confidence to scale without slowing down."
Stage 2: Unified Visibility Across Cloud & SaaS
As soon as Alex joined the environment, it began stitching together a unified intelligence layer across Vyro's distributed systems. Every resource — from EC2 instances and Kubernetes pods to Cloudflare domains and SaaS identities — was automatically discovered, mapped, and classified.
Instead of receiving raw asset lists, Vyro saw each component placed into a living, contextual map. The Teammate assigned CIA (Confidentiality, Integrity, Availability) ratings using ML-driven logic, linked services to their owners, surfaced public exposure, and highlighted configuration drift. What once required navigating multiple systems now appeared in a single, cohesive view that reflected the true structure of Vyro's environment.
Within days, visibility moved from fragmented to complete — giving the engineering team a level of situational awareness they hadn't previously experienced.
Stage 3: Risk Correlation & Attack Path Modelling
Once visibility was established, Secure.com shifted from discovering the environment to explaining it. Instead of thousands of isolated vulnerabilities, Vyro now saw how issues connected — which ones could be chained into a real attack, where lateral movement could occur, and which systems sat in the blast radius.
Alex automatically correlated misconfigurations, CVEs, IAM gaps, network exposure, and business context to build meaningful attack paths. What had previously been raw scanner output transformed into a clear "fix-first" roadmap showing not only what was vulnerable, but why it mattered.
For the first time, Vyro's engineering leadership could see their environment the way an attacker would — and make decisions based on business impact rather than severity alone.
Stage 4: Contextual Alerting & Case-Based Investigations
With attack paths in place, Secure.com turned its focus to operational load. Instead of sending Vyro's team a stream of alerts from cloud systems, EDR tools, or platform logs, Alex grouped related events into enriched cases. Every alert arrived with context: which assets were involved, what dependencies were affected, whether the user or system behavior was unusual, and how the event aligned with known risks.
The Digital Teammate also surfaced its reasoning in plain language through transparency traces, allowing engineers to understand why it made a recommendation before acting on it. Investigations that once required time-consuming validation across multiple tools were reduced to a single Slack message or case view — cutting response cycles from hours to minutes.
Stage 5: Automation With Human-in-Loop Control
Once correlation and context were established, Secure.com activated curated workflows tailored to Vyro's environment. Routine tasks — such as isolating misconfigured resources, rotating exposed keys, validating IAM findings, or enforcing cloud guardrails — were now automated through the Teammate, with engineers approving each action before execution.
Nothing ran blindly. Every workflow surfaced its impact, required approval, and logged an auditable record for later review. Automation became a lever for scale, not a source of risk.
This balance allowed Vyro to maintain its rigorous engineering standards while benefiting from automation that removed repetitive, low-value work.
Stage 6: Compliance Readiness & Evidence Automation
As Vyro prepared for SOC 2, Secure.com centralized all compliance-relevant intelligence into a continuous evidence layer. Misconfigurations were mapped directly to controls. Vulnerabilities were linked to compliance requirements. Asset classification and ownership were automatically documented. Every change, fix, and review was traced and time-stamped.
What had once required manual screenshots, spreadsheets, and exports transformed into a live, always-ready compliance dashboard — reducing the engineering effort required for audits and drastically accelerating readiness.
Measurable Outcomes
Key Takeaway
Challenge: Fragmented visibility, noisy vulnerabilities, and growing compliance demands — all managed by a fast-moving engineering team.
Solution: Secure.com's Digital Security Teammate unified assets, risks, alerts, and compliance into a single contextual fabric — automating the heavy lifting while keeping humans in the loop.
Result: 100% visibility, meaningful risk prioritization, faster investigations, and continuous compliance — all achieved without increasing headcount.
See how Secure.com can help your team achieve enterprise-grade security without scaling headcount
Disclaimer:
Client identity and sensitive details have been anonymized for confidentiality and security reasons.