Table of Contents
- The Audit That Found the Three Things That Actually Mattered
- The Three Findings That Changed the Risk Profile
- How We Turned Findings into Fixes in 30 Days
- What a Security Audit Should Actually Uncover
- How PADISO Delivers Audit-Readiness for Mid-Market and PE Portfolios
- Summary and Next Steps
When you commission a security audit, you expect a long list of findings. Firewalls, endpoint gaps, patch management, encryption standards—the typical report can run to dozens of pages. But what if most of those pages are noise? What if the real risk to your business comes down to just three or four critical misconfigurations that an attacker would exploit tomorrow?
This teardown is based on a real engagement that PADISO ran for a mid-market SaaS company with $45M in annual recurring revenue. The firm was preparing for a Series C raise, and their lead investor required a SOC 2 Type II report before close. Initial internal scans had flagged 47 distinct issues on the risk register. Management was overwhelmed. They brought in PADISO’s fractional CTO practice to cut through the noise and get them audit-ready in weeks, not months.
What we found—and more importantly, what we fixed first—is a lesson for any mid-market leadership team, private-equity operating partner, or founder staring down a due-diligence checklist. Not all findings are equal. Fix the ones that actually change your risk profile, and the rest can wait.
The Audit That Found the Three Things That Actually Mattered
A security audit isn’t a box-ticking exercise. As the Fortinet Cyber Glossary explains, a proper audit follows a structured methodology aligned with NIST standards, evaluating controls against defined security requirements. But in high-growth companies, reality often diverges from ideal frameworks. Technical debt, rush-to-market features, and contractor handoffs leave gaps that a checklist won’t necessarily uncover.
Our engagement began with a two-week diagnostic—what we now productize as the AI Quickstart Audit. We embedded a senior cloud architect and a DevSecOps engineer alongside the company’s internal team. We didn’t just run scanners; we traced how code got to production, how secrets were managed, and how identity and access governance actually operated across AWS and GitHub.
The initial scan outputs were exactly what you’d expect: a 47-item list spanning missing patches, overly permissive IAM roles, unencrypted staging databases, and a handful of low-severity CVE findings. But buried in that list were three findings that, if acted upon by a motivated attacker, could lead to a full data breach within hours. That’s the essence of an integrated approach to security audits—you must couple technical assessment with a business-impact lens to know where to place your first dollar of remediation.
The Engagement: A Mid-Market SaaS Company Under Due Diligence
The client, a B2B SaaS platform processing over 2 million transactions per month, operated a microservices architecture on AWS. Their DevOps team had grown organically, and security practices varied across squads. The board had committed to a $400K security uplift, but they didn’t know where to start. That’s where PADISO’s CTO as a Service model shines: we parachute in, own the technical strategy, and align tech spend with business outcomes.
Our first week focused on mapping the attack surface. We interviewed five senior engineers, reviewed the CI/CD pipeline, and audited configurations for AWS IAM, S3, CloudTrail, and GitHub organization settings. We didn’t just rely on automated tools—we manually inspected repositories and cloud resource policies. The Wikipedia entry on information security audits rightly notes that preliminary assessment and scoping are critical, but it undersells the value of walking the actual pipeline with the people who built it.
The Initial Findings: 47 Issues on the Risk Register
After the first scan, the risk register looked daunting. Some examples:
- Outdated OS images in six EC2 auto-scaling groups.
- Lack of network segmentation between staging and production.
- Missing CloudTrail logging for data events in S3.
- Several IAM users with console access and no recent activity.
- Unused security groups open to the world.
The CISO had flagged all 47 for remediation within 90 days. But here’s the problem: with a small team and a hard deadline for SOC 2, triaging everything would mean shipping half-finished fixes across the board, none of which would materially reduce the blast radius of a real incident. We needed to prioritize ruthlessly.
Cutting Through the Noise to the Three Critical Fixes
We applied a simple framework: if an attacker gained access to the most exposed asset, how much damage could they do in 60 minutes? We scored each finding on exploitability, blast radius, and detectability. Three findings jumped out as catastrophic. Everything else was, comparatively, tactical hygiene. By focusing the entire $400K uplift on those three areas first, the company not only passed their SOC 2 audit but reduced their cyber insurance premiums by 18% the following quarter.
The Three Findings That Changed the Risk Profile
These three issues are not unique to one company. In our work across US and Canadian mid-market brands, Australian scale-ups, and private-equity roll-ups, we see variations of them in almost every engagement. They reflect common pitfalls in cloud-native development: secrets management, data access control, and identity governance.
1. Hardcoded AWS Credentials in a Public GitHub Repository
During a manual review of the company’s GitHub organization, our engineer ran GitLeaks across all repositories, not just the active ones. In a repo that had been archived for six months and belonged to a departed contractor, we found an application.properties file with a hardcoded AWS access key and secret key. The keys were still active in IAM. Worse, they granted AdministratorAccess.
This is not a new problem. SentinelOne’s 2026 guide on security audits highlights secrets exposure as a top vulnerability, yet teams still ship keys in code. We revoked the keys immediately and conducted a forensic analysis of CloudTrail to ensure they hadn’t been used outside of CI/CD runs. Fortunately, no evidence of lateral movement, but the window had been open for 14 months.
Remediation involved:
- Full rotation of all IAM keys across the organization.
- Implementing AWS Secrets Manager with automatic rotation.
- Adding a pre-commit hook and CI step to scan for secrets.
- Enforcing mandatory MFA for all IAM users, including programmatic-only accounts.
This single fix closed the most exploitable path into the company’s AWS environment. For any private-equity firm consolidating portfolio companies onto a common cloud stack, secrets management is job one.
2. Open S3 Buckets Containing PII
Data classification had not been consistently applied across the organization. One bucket, intended for internal reporting, contained raw CSVs with customer names, email addresses, and last four digits of payment cards. The bucket policy allowed s3:GetObject to the AuthenticatedUsers group—which, in AWS, includes any AWS account in the world, not just your own organization.
We discovered this using a combination of AWS Config rules and manual review. Our fix was to:
- Block public access at the account and bucket level.
- Restrict access to a dedicated IAM role with least privilege.
- Encrypt all objects with KMS, requiring envelope encryption.
- Implement S3 access logging and CloudTrail data events.
- Run a one-time data classification job using Amazon Macie to identify other buckets with similar exposure.
This is where Vanta became invaluable. We configured Vanta monitors to continuously check S3 bucket policies and alert on any deviations from the secure state, ensuring audit-readiness for SOC 2 and ISO 27001. The ability to prove that no PII-exposing buckets exist today—and that we’ll know within minutes if one appears—is what gets you past an auditor.
3. Absence of Multi-Factor Authentication on Administrative Interfaces
The company’s customer-facing application had MFA for end users, but administrative access to the AWS Management Console, GitHub, and the internal admin portal relied on password-only authentication. Two senior engineers had console access, and neither had ever enabled MFA. That’s like locking the front door but leaving the safe open in a room with a window.
According to EisnerAmper’s IT security audit insights, independent assessment of authentication controls is a cornerstone of any robust audit, but many firms stop at the user-facing layer. We mandated MFA for everyone with console or elevated privilege, using AWS IAM policies to enforce it. Within 48 hours, the risk of credential-based console compromise dropped to near zero.
We then extended the principle: SSO via Okta with SAML integration, elimination of long-lived IAM user credentials in favor of temporary roles via AWS SSO, and enforcing MFA on all GitHub accounts. The combination of these controls meant that even if a password were phished, it would be useless without a second factor.
How We Turned Findings into Fixes in 30 Days
Speed matters. The company couldn’t afford a three-month remediation program; the Series C term sheet had a 60-day window. We compressed the critical fixes into a 30-day sprint, using a phased approach that stopped the bleeding first, then built resilience.
Immediate Triage: The 24-Hour Response
Within the first day of discovery, we:
- Revoked all exposed IAM keys and rotated active ones.
- Removed public access from the S3 bucket containing PII.
- Enforced MFA on all IAM users with console access.
These three actions alone changed the company’s risk profile from a potential headline to a manageable concern. No code deployment was needed; just cloud configuration changes. It’s evidence that the most impactful fixes are often the simplest—they just require the right expertise to find them.
Longer-Term Remediation: Embedding Security into the Pipeline
With the immediate fires out, we shifted to lasting change. Over the next 28 days, we:
- Implemented Infrastructure as Code (IaC) scanning: Checkov and Bridgecrew plugged into GitHub Actions, preventing misconfigured resources from reaching production.
- Introduced a security review stage: Every pull request now includes a context-aware review by a security-trained model (we use Claude Opus 4.8 internally to summarize risk deltas for our architects).
- Built a centralized logging and alerting stack: CloudTrail, GuardDuty, and Security Hub findings flowed to a common dashboard, with alerts routed to PagerDuty.
- Trained the engineering team: Two half-day workshops on secure coding practices and cloud security fundamentals.
This work not only prepared the company for their SOC 2 audit but also improved their operational posture—fewer surprises, faster incident response, and a demonstrable commitment to security that the board could cite in investor updates.
Using Vanta for Continuous Compliance Monitoring
A point-in-time audit is useful, but real security is continuous. We onboarded the client onto Vanta, connecting it to AWS, GitHub, and Okta. Vanta’s automated tests now run hourly against SOC 2 and ISO 27001 controls, surfacing only the deviations that matter. This means the next audit won’t be a fire drill—it’ll be a review of evidence that’s been collected all year.
For our private-equity partners, this is table stakes. When you’re rolling up six companies and need to demonstrate uniform security to limited partners, having a Vanta instance per portco, managed by a fractional CTO, is the difference between a clean ITDD report and a painful capital call.
What a Security Audit Should Actually Uncover
A security audit has multiple objectives. As Vaadata’s blog on audit methodologies describes, audits can be technical, compliance-driven, or a hybrid. But the most valuable audits deliver more than a vulnerability count; they provide a clear, prioritized roadmap that aligns with business objectives.
Beyond the Checklist: Why Depth Matters
Standard audit templates are great for consistency but poor at novelty. They often miss cloud-native risks like misconfigured serverless functions, over-privileged Kubernetes service accounts, or excessive third-party OAuth grants. Our approach combines automated scanning with manual adversary simulation—we think like an attacker to find the paths a scanner won’t.
CAI’s article on five secrets a cybersecurity audit reveals notes that audits often expose hidden regulatory compliance gaps. In our experience, they also reveal organizational dysfunctions: silos between dev and ops, inconsistent code review practices, and a lack of ownership for security. These are the root causes that, once fixed, permanently lower risk.
Aligning Security with Business Outcomes
For a mid-market CEO, security is a cost until it isn’t. The challenge is quantifying the ROI of security spend. We frame every remediation effort in terms of:
- Revenue protection: What’s the dollar value of the data at risk?
- Deal velocity: How many days does the security review add to a sales cycle?
- Insurance premiums: What’s the premium reduction after implementing specific controls?
- Investor confidence: Does the company have a defensible story for due diligence?
When we present our findings, we link each to a business lever. Hardcoded credentials? That’s an existential threat to the company’s valuation. Open S3 bucket? That’s a customer trust and contract liability issue. No MFA on admin? That’s a board-level governance failure. This framing gets buy-in faster than any CVSS score ever will.
The Role of Automation and Expert Engagement
Automation is essential but insufficient. Tools like Wiz, Lacework, and Snyk can generate thousands of alerts, but someone needs to triage them. That’s where our fractional CTO model excels. We provide a senior leader who understands the technology and the business context to decide what to fix now, what to accept, and what to outsource.
Research on the effectiveness of information security controls using audit underscores that the audit process itself—planning, risk assessment, and continuous improvement—drives control effectiveness, not just tooling. We bake that process into every engagement, leaving behind a security culture, not just a clean report.
How PADISO Delivers Audit-Readiness for Mid-Market and PE Portfolios
PADISO’s Security Audit service is built for companies that need to move fast from risky to robust. We combine deep cloud architecture expertise with the Vanta compliance platform to get you audit-ready in weeks, not months. But our value goes beyond a single engagement—we embed security into your platform engineering, AI strategy, and operational rhythms.
Fractional CTO Leadership for Audit Programs
Our Fractional CTO and CTO Advisory services provide the senior technical leadership that mid-market firms often lack. We don’t just find problems; we own the remediation roadmap, manage vendors, and report to your board. Whether you’re in San Francisco, Brisbane, or Darwin, we can embed a seasoned CTO into your organization within a week.
For private-equity firms managing multiple portfolio companies, our Platform Design & Engineering practice can standardize security controls, cloud architectures, and CI/CD pipelines across your portfolio, unlocking EBITDA lift through tech consolidation.
AI-Powered Security Analysis
We use frontier models like Claude Opus 4.8 and Sonnet 4.6 to accelerate our audit process. These models can parse terabytes of CloudTrail logs, IAM policies, and GitHub histories in minutes, identifying patterns that manual reviews miss. For example, we’ve built internal tools that flag anomalous IAM role assumption chains—a common vector for privilege escalation—with higher accuracy than static analyzers.
But AI is an augment, not a replacement. Our architects validate every finding, contextualize it within your application, and prioritize fixes based on business impact. This hybrid approach delivers the speed of automation with the judgment of experienced operators.
From Frail to Robust: Platform Engineering Foundation
Security is an emergent property of good platform design. We help companies move from fragile, patchwork infrastructures to robust, well-architected platforms on AWS, Azure, or Google Cloud. Our engagements often include:
- Setting up multi-account AWS organizations with guardrails.
- Implementing a service mesh with mTLS.
- Building a centralized observability platform with Grafana and Prometheus.
- Designing data lakes with automated classification and access controls.
The result is a platform that not only passes an audit but accelerates development—because security is baked into the templates, not bolted on later.
Summary and Next Steps
The three findings from this teardown—hardcoded credentials, open S3 buckets, and missing MFA on admin interfaces—are not exotic zero-days. They are mundane, deadly, and completely preventable. Yet they remain the most common ways companies get breached. A security audit that focuses on everything will fix nothing. You need a partner who can cut through the noise.
PADISO was founded by Keyvan Kasaei, a technologist who has helped over 50 businesses generate more than $100M in revenue through strategic AI implementation and technology leadership. We bring that same outcome-focused lens to security. Our Security Audit service, combined with our Fractional CTO and Venture Architecture & Transformation offerings, gives mid-market companies and private-equity portfolios a single, accountable partner for audit-readiness and risk reduction.
If you’re staring at a daunting audit report, or if you know you need SOC 2 or ISO 27001 before your next enterprise deal walks, don’t get lost in the findings. We’ll find the three things that actually matter and fix them before the quarter ends. Book a 30-minute call to discuss your assessment. For a broader technology strategy reset, start with our AI Quickstart Audit—a two-week, fixed-fee diagnostic that tells you where you actually are and what to ship first.
Read more about our approach on the PADISO Blog or explore our successful client stories. Let’s turn your security posture from a liability into a competitive advantage.