Vanta automates the process. Axipro makes sure you pass.
We’re a Vanta implementation partner that gets SaaS, fintech, and cloud companies SOC 2, ISO 27001, and HIPAA certified in 6 weeks, with a 100% audit pass rate.
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How the Axipro × Vanta Accelerator Works
Vanta gives you the platform. Axipro gives you the team that runs it. Together, you go from no compliance program to audit-ready in six weeks — with one project plan, one point of contact, and one guaranteed outcome.
1- Scope & gap analysis
We map your business against your target framework (SOC 2, ISO 27001, HIPAA, GDPR) and identify exactly what’s missing
2- Set up Vanta
Policies, controls, integrations, and evidence collection — all configured inside your Vanta workspace.
3- Implement Controls
150+ controls implemented across people, processes, and technology, with hands-on guidance from a dedicated GRC PM and security analyst.
4- Internal audit & remediation
We run the internal audit ourselves, find the gaps before the external auditor does, and close them.
5- External audit coordination
We manage the external auditor relationship end-to-end. You pass. Guaranteed.
How to Actually Get a Discount on Vanta
Looking for a Vanta discount code? Here’s the honest truth: Unfortunately, Vanta doesn’t offer public promo codes or coupon codes. Any site promising one is wasting your time.
But there is a real way to pay less for Vanta: through a Vanta partner.
How partner pricing works
As a Vanta implementation partner, Axipro can get you up to 20–30% off your Vanta subscription — pricing that isn’t available if you buy directly. You get the same platform, same features, same support from Vanta. The only difference is what you pay.
Why Vanta does this
Vanta knows that companies who work with an implementation partner get certified faster and stick around longer. Partner pricing is their way of encouraging it. For you, it means the discount on your Vanta subscription can offset a meaningful part of the implementation cost — in some cases, the savings over a multi-year subscription cover most of our fee.
What you get beyond the discount
A discount code saves you money once. A partner saves you the 200+ engineering hours it takes to run compliance yourself:
- Vanta workspace configured by people who do this every week
- 150+ controls implemented with a dedicated GRC PM
- Internal audit run before the external auditor shows up
- A 100% audit pass rate, guaranteed
How to claim it
No code to enter. Book a free 30-minute scoping call, and we’ll quote your Vanta subscription with partner pricing included — alongside a fixed-fee implementation plan and a 6-week timeline to audit-ready.
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Pricing Plans
Choose the perfect plan
Transparent pricing for every stage of your compliance journey.
Compliance Accelerator Plan (CAP)
DIY Starter
Try our compliance services free for 30 days.
- Onboarding and Assessment
- Policies and procedures
- Gap analysis
- System description / statement of applicability
- Tabletop exercise
Achievement Plan (AP)
End-to-end implementation with guaranteed certification.
Less than 50 employees, excluding audit fee
More than 50 employees, excluding audit fee
- Timeline: 6 weeks
- Guaranteed
- End to End Implementation
- Dedicated Project Manager
- Facilitating External Audits
- 100% Guaranteed Certification
- Virtual Information Security Team
- Post-Certification Support
Trust Assurance Plan - (TAP)
Ongoing Compliance Maintenance and Support.
Monthly subscription
- Cancel anytime
- Works with your existing GRC platform
- Monthly compliance maintenance
- Trust center updates
- Policy creation & refinement
- External audit coordination
- vCISO services
- No headache compliance maintenance
- Human-supervised automated processes
- Ten's of hours per week saved
Axipro was instrumental in helping us reach our compliance goals. They simplified the entire process and made it far easier for us to stay organized and confident. They are responsive, knowledgeable, and make compliance feel manageable.
– CEO, Noon AI
Compliance Without the Headache.
Not sure if you need a partner? Book a free 30-minute scoping call.
Do You Need Just Vanta, or Vanta Plus a Partner?
When you can run it yourself
- You have an in-house lead who has run SOC 2 or ISO 27001 before.
- Your environment is straightforward and your team is small.
- You have 5+ months before your deadline.
- It's a renewal, not a first-time certification.
- You are familiar with Vanta, or are willing to invest in staff training.
When a partner pays for itself
- Your engineers can't afford to lose 200+ hours to compliance work.
- It's your first certification and a mistake costs more than the fee.
- A customer deal is blocked and you need to move in weeks.
- You're running multiple frameworks at once.
- Your environment is complex: multi-cloud, regulated, or a large team.
OUR FRAMEWORKS
Frameworks We Implement with Vanta
SOC 2 Type I & II · ISO 27001 · HIPAA · GDPR · PCI DSS · NIST CSF · CMMC · DORA

SOC 2
The most-requested security certification in the US market. SOC 2 evaluates how service organizations protect customer data across five Trust Services Criteria: Security, Availability, Processing Integrity, Confidentiality, and Privacy. Available as Type I (point-in-time) or Type II (over a period), with Type II preferred for enterprise deals.

ISO 27001
The global gold standard for information security. ISO 27001 demonstrates that your organization systematically protects sensitive data through a comprehensive Information Security Management System (ISMS). Required by enterprise customers worldwide and the foundation for most other security frameworks.

ISO 42001
The world's first international standard for artificial intelligence management systems. ISO 42001 helps organizations develop, deploy, and use AI responsibly through structured governance, risk management, and ethical considerations. Increasingly important as AI regulations like the EU AI Act take effect globally.

ISO 27017
A specialized extension of ISO 27001 designed specifically for cloud service providers and cloud customers. ISO 27017 addresses unique cloud security challenges including shared responsibility, multi-tenancy, virtualization, and cloud-specific access controls. Essential for proving cloud security to enterprise buyers.

HIPAA
The Health Insurance Portability and Accountability Act establishes mandatory privacy and security standards for protected health information (PHI) in the United States. HIPAA applies to healthcare providers, health plans, healthcare clearinghouses, and any business associates handling PHI on their behalf.

ISO 27701
An extension of ISO 27001 specifically focused on privacy management. ISO 27701 helps organizations implement a Privacy Information Management System (PIMS) that demonstrates compliance with global privacy regulations like GDPR, CCPA, and others. Certification proves systematic, ongoing privacy management.

PCI DSS
The mandatory security standard for any organization that processes, stores, or transmits credit card data. PCI DSS establishes 12 core requirements covering network security, data protection, vulnerability management, and access controls. Non-compliance can result in heavy fines, increased transaction fees, and loss of card processing privileges.

GDPR
The world's most comprehensive data protection law, governing how organizations collect, process, store, and transfer personal data of EU residents. GDPR applies regardless of where your company is based—if you serve EU customers, you must comply. Violations can result in fines up to €20 million or 4% of global revenue.

ISO 9001
The world's most widely adopted quality management standard. ISO 9001 helps organizations demonstrate their ability to consistently deliver products and services that meet customer and regulatory requirements. Often required for government contracts, enterprise procurement, and international expansion.
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Axipro delivers Vanta implementation services to companies across the US, UK, Europe, GCC and APAC.
For UK and EU-based organizations, we bring specific expertise in ISO 27001 and GDPR requirements alongside SOC 2 readiness, ensuring your compliance program meets both international and regional standards.
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Latest from the Blog
Two compromised versions of LiteLLM sat on PyPI for roughly 40 minutes on the morning of March 24, 2026. That window was enough to capture secrets from around 434,000 CI/CD pipeline runs across nearly 2,500 organizations, including AWS, Samsung, Cisco, Salesforce, Siemens, and Deloitte. In August, researchers at CloudSEK and Hudson Rock confirmed they had obtained the raw exfiltrated data: a 153GB archive containing 433,909 files of environment variables, cloud keys, Kubernetes secrets, and API tokens harvested live from running pipelines, as covered by Help Net Security’s reporting on the credential archive. If LiteLLM runs anywhere in your stack, or you touch any AI proxy infrastructure at all, you need answers to three things: whether you were exposed, what to rotate first, and whether the rotation you did back in March actually held. That last one matters more than it sounds, because “we rotated everything” has already burned at least one very large company. How the Breach Happened The attack didn’t start with LiteLLM. On March 19, 2026, a threat group called TeamPCP compromised the build pipeline of Trivy, a vulnerability scanner half the industry runs, and pushed a poisoned release. LiteLLM’s own CI pipeline ran Trivy, so the poisoned scanner had legitimate read access to the project’s runner environment. The attackers used that to steal LiteLLM’s PyPI publishing tokens and ship two malicious releases of their own: versions 1.82.7 and 1.82.8. KICS and the Telnyx Python SDK got hit in the same campaign. The payload design is the part worth studying. The malicious package dropped a .pth startup hook into site-packages, so the code ran the moment any Python interpreter started on the machine, whether or not anything imported LiteLLM. From there it harvested environment variables, read local credential files like .aws/credentials and .kube/config, tried to move laterally across Kubernetes clusters, and installed a systemd backdoor dressed up as a generic telemetry service. InfoQ’s coverage of the PyPI compromise put downloads of the compromised release above 40,000. For scale, LiteLLM normally gets downloaded around 3 million times a day. The exfiltration had a nasty fallback, too. According to CloudSEK, stolen data was encrypted and sent to a typosquatted domain, and when that failed, the malware created a public repository inside the victim’s own GitHub account and uploaded the loot as a release asset. Some companies were publishing their own secrets to the open internet and had no idea. Worth Knowing: The malicious code only existed in the PyPI artifacts. The GitHub source repository stayed clean the whole time, so a developer reviewing the code on GitHub saw nothing wrong. Source review isn’t artifact verification. If you don’t check that what the registry serves matches the upstream source, this class of attack is invisible to you. How to Check If You Were Exposed Three checks, from quickest to most involved. 1. Confirm whether the compromised versions ever ran The malicious versions went live on PyPI at 10:39 UTC on March 24, 2026 and got quarantined about 40 minutes later. The project’s advice: treat any install from that day before 16:00 UTC as suspect. Search your lockfiles, pip caches, SBOMs, and container image histories for 1.82.7 and 1.82.8. And check your internal artifact mirrors. An Artifactory or Nexus proxy that cached the bad release in March can keep serving it internally long after PyPI pulled it. Keep the .pth mechanism in mind when you scope this. The question isn’t “which applications import LiteLLM,” it’s “which machines had the package installed at all,” because every Python process on an infected machine triggered the payload. 2. Hunt for persistence Rotation is pointless if the attacker still has a foothold. Check developer machines, CI runners, and containers for unauthorized .pth files in site-packages and for suspicious systemd units, especially anything posing as a system telemetry service. And review activity from March 24 onward, not just the 40-minute window. Persistence is there so the access outlives the infection. Pro Tip: Don’t limit the persistence hunt to live machines. Base container images rebuilt in late March may have baked the payload into every image derived from them since. Scan your image registry for the affected LiteLLM versions and for unexpected .pth files, then trace which running workloads came from flagged images. 3. Check whether your secrets are in the dump Hudson Rock has published a domain lookup tool and is running ethical disclosures for affected organizations, and CloudSEK maintains a high-confidence victim list. Use them, but know their limits. Attribution in this dataset is genuinely hard. One dump with a siriusxm.com committer email actually traced, through its self-hosted GitLab endpoints, to AdsWizz, a SiriusXM subsidiary. And a large share of the dumps are generic pipeline configurations with no identifying domain, email, or server name at all. Absence from a victim list is not evidence of absence. If your pipelines ran the compromised versions, assume exposure no matter what a lookup tool tells you. What to Rotate, in What Order The guidance from both research teams is blunt: treat every secret the LiteLLM environment could reach as compromised. That covers secrets on disk, in memory, injected into CI jobs, and anything retrievable through instance metadata services. Work down by blast radius: Priority Credential type Why it comes first 1 Cloud IAM keys (AWS, GCP, Azure) Direct control of infrastructure, data stores, and billing. This is where attackers monetize fastest. 2 GitHub and GitLab PATs, package publishing tokens These let an attacker poison your releases and turn your company into the next link in the supply chain. 3 Kubernetes service account tokens and kubeconfigs Lateral movement across clusters was built into the payload, not a theoretical risk. 4 Database passwords and third-party API keys Dumped in plain text in the archive, often with no attribution, so nobody will warn you they leaked. 5 AI provider API keys Billing abuse, quota theft, and access to whatever data flows through your LLM routing layer. One word matters more than the rest of this article: revoke, don’t just rotate. That
The EU AI Act names recruitment AI as high-risk. Annex III explicitly lists AI systems used for recruitment, candidate selection, and employment decisions, which pulls CV screeners, video interview platforms, and assessment tools into the most demanding compliance regime the Act contains. The original compliance date for these systems was August 2, 2026. In June 2026, the EU’s Digital Omnibus moved the deadline to December 2, 2027, a 16-month extension that has led many HR and talent teams to shelve the topic entirely. That’s a mistake, for two reasons. First, one rule that directly affects recruitment technology is already in force: the ban on emotion recognition in the workplace has applied since February 2, 2025, and it catches features still shipping in some video interview products today. Second, the deferred obligations didn’t shrink. Conformity assessments, human oversight design, bias monitoring, and documentation all still arrive in full, and the practical work of auditing a recruitment stack, renegotiating vendor contracts, and training hiring teams routinely takes a year or more. Here’s what the EU AI Act actually requires of employers and vendors using recruitment tools, on the timeline that now applies. Why Recruitment Tools Are Classified as High-Risk Under the EU AI Act Definition of High-Risk AI Systems in Hiring The Act takes a list-based approach. Annex III, point 4, designates as high-risk any AI system intended for the recruitment or selection of natural persons, including placing targeted job advertisements, analyzing and filtering applications, and evaluating candidates. The same point covers AI used for decisions on promotion, termination, task allocation, and monitoring of workers, so the classification follows the tool through the entire employment lifecycle, not just the hiring funnel. The reasoning is straightforward: hiring decisions shape access to livelihoods, and algorithmic discrimination in hiring is well documented. The European Commission’s regulatory framework for AI treats employment as one of the areas where an AI error or bias causes serious harm to fundamental rights. That’s the test for the high-risk tier. Types of Recruitment Tools Affected In practice, the high-risk classification captures most of the modern recruitment stack: CV and resume screeners that rank or filter applicants, video interview platforms that score responses or delivery, psychometric and skills assessment tools that produce scores feeding a hiring decision, sourcing and matching algorithms that decide which candidates a recruiter sees, and programmatic job ad targeting systems that determine who sees a vacancy at all. If the system’s output materially influences who advances and who does not, assume high-risk until proven otherwise. Important: Emotion recognition is not high-risk in the workplace. It is prohibited. Article 5 bans AI systems that infer emotions of people in the workplace (outside narrow medical and safety cases), and that ban has applied since February 2025 with the Act’s top penalty tier attached. If your video interview vendor markets “engagement scoring” or “sentiment analysis” of candidates, that feature needs to be switched off for EU hiring now, not in 2027. Recruitment Tools That May Fall Outside High-Risk Classification Not everything in the HR stack qualifies. The Act carves out systems performing narrow procedural tasks that do not materially influence decision outcomes. An applicant tracking system that stores applications, schedules interviews, and sends templated emails is a database with a workflow, not a high-risk AI system. The same goes for tools that transcribe interviews without scoring them, deduplicate candidate records, or generate first drafts of job descriptions for a human to edit. The line is decision influence: the moment a tool ranks, scores, filters, or recommends candidates, it crosses into Annex III territory. Deployers who rely on an exemption must be able to document that assessment, so “we decided it doesn’t count” needs to exist on paper. Extraterritorial Scope: Which Employers Are Covered The Act applies to providers placing AI systems on the EU market and to deployers established in the EU, but it also reaches further: it covers providers and deployers located outside the EU where the output of the system is used in the EU. For recruitment, the consequence is blunt. A US or UK company with no EU entity that uses an AI screener to filter applicants for roles based in Berlin or Dublin, or that screens candidates located in the EU, is using the system’s output in the Union. Brexit doesn’t move UK employers out of scope when they hire into or from the EU. Providers vs. Deployers of Recruitment AI Tools The Act splits obligations between the provider (the vendor that develops the tool and places it on the market) and the deployer (the employer using it). Most employers are deployers, and deployer obligations are lighter but real. One common trap: an employer that substantially modifies a high-risk system, or puts its own name on it, can be reclassified as a provider and inherit the full provider stack. Heavy customization of a screening model, or fine-tuning it on your own hiring data, can be enough to trigger this. Key Obligations for Employers Using AI Recruitment Tools Human Oversight in Automated Hiring Decisions Deployers must assign oversight of the system to people with the competence, training, and authority to intervene. That last word matters. A recruiter who rubber-stamps whatever the ranking algorithm produces, because nobody has time to review 800 rejected CVs, doesn’t count as oversight. Regulators and courts will look at whether the human could genuinely override the system and whether they ever did. Designing review checkpoints where a person can meaningfully change the outcome, and logging when they do, is the core of compliant deployment. Transparency Requirements Toward Candidates Employers must inform workers and their representatives before putting a high-risk AI system into use at work, and candidates subjected to such a system must be told it is being used. In countries with works councils, such as Germany, this obligation lands on top of existing co-determination rights, so employee representatives may need to be consulted before the tool goes live rather than just told afterward. Burying an AI disclosure in a privacy policy paragraph is unlikely to survive scrutiny.
A green dashboard is not an audit opinion. Compliance automation platforms like Vanta, Drata, Secureframe, and Hyperproof have made SOC 2 readiness faster and cheaper, but every audit cycle produces the same pattern: controls that sat at “passing” for months come back from the auditor with exceptions or requests for re-testing. The four controls below account for a disproportionate share of those rejections, and they all fail for the same underlying reason. The tool confirmed that evidence exists. The auditor tested whether the control actually operated. This article walks through each of the four: what auditors reject, why, and how to fix the evidence before fieldwork starts. Why Compliance Tools Show “Passing” But Auditors Still Reject Controls The Gap Between Automated Checks and Auditor Judgment Compliance platforms run continuous control monitoring: API calls that check whether a configuration exists, a document is uploaded, or a task is marked done. That’s real value. It catches drift, keeps evidence in one place, and saves weeks of screenshot collection. An audit is a different exercise. A SOC 2 examination is an attestation performed by a CPA firm under AICPA standards, and the auditor’s job is to form an independent opinion on whether your controls met the Trust Services Criteria. That opinion rests on professional judgment, not on whether an API integration returned a 200 response. What “Passing” Actually Means in Your Compliance Dashboard When a control shows “passing,” the platform is telling you one narrow thing: at the moment of the last scan, an automated test found the artifact or setting it was programmed to look for: MFA enforced in the identity provider, a policy document uploaded, a training campaign sitting at 100%. The test says nothing about whether the underlying process ran the way your control narrative claims it did, or whether it ran that way across the whole audit period. How Auditors Evaluate Controls Beyond the Checkbox Auditors test two dimensions. Design effectiveness asks whether the control, as described, would meet the criterion if it worked as intended. Operating effectiveness, the core of a SOC 2 Type 2 report, asks whether it actually did throughout the audit period. To answer that, the auditor pulls a population (every access review, every change, every new hire in the period), selects a sample, and inspects the evidence item by item. A dashboard status feeds into that process. It doesn’t replace it. Insider Note: Auditors increasingly ask for evidence outside the compliance platform precisely because they know what the platform auto-collects. If every artifact you produce comes from the same tool export, expect the auditor to independently pull the population from the source system and compare. Discrepancies between the two are one of the fastest routes to an exception. Control #1: Access Reviews That Automation Marks Complete but Auditors Reject Why Auditors Reject Automated Access Review Evidence User access reviews sit under the logical access criteria (CC6.1 through CC6.3), and they are the single most common source of audit exceptions we see. The typical failure: the platform generated a user list, someone clicked “complete,” and the dashboard turned green. The auditor then asks a simple question the evidence can’t answer: what did the reviewer actually decide? The Missing Element: Documented Reviewer Judgment An access review is a judgment control. Someone with knowledge of the system must look at each account and confirm the access is still appropriate for the person’s role. A timestamped task closure proves the task was closed. It doesn’t prove anyone assessed anything, and an “approve all” review completed in ninety seconds gets exactly the skepticism it deserves. What Auditors Actually Want to See in Access Review Evidence Auditors look for four things: The full population of accounts at the time of review (including service accounts and admin roles), Evidence of who reviewed it and when, explicit dispositions per account or group (retain, modify, revoke), and Proof that flagged access was actually removed. That last item, the deprovisioning ticket showing revocation within a defined window, is the piece most companies can’t produce. How to Fix Your Access Review Control Before the Audit Assign a named control owner per in-scope system, run reviews quarterly, and require reviewers to record a disposition for every line, not a blanket approval. When access is revoked, link the removal ticket to the review record. If a quarter was missed, don’t backfill it. Document it honestly and show the remediation, because auditors treat fabricated retroactive evidence far more severely than a disclosed gap. Control #2: Change Management Approvals That Pass Automated Scans Why Ticket Closure Isn’t Proof of Approval Change management (CC8.1) automation typically verifies that production changes link to a ticket and the ticket is closed. Auditors test something stricter: that each sampled change was approved by an authorized person before deployment. An approval added after the merge, or a ticket closed by the same engineer who wrote the code, fails that test even though every automated check came back green. The Segregation of Duties Problem Automation Misses Segregation of duties is the requirement that no single person can develop, approve, and deploy the same change. NIST’s SP 800-53 control catalog treats it as a foundational access control principle, and SOC 2 auditors apply the same logic. Small engineering teams trip on this constantly. Self-approved pull requests, admins who can bypass branch protection, direct pushes to main: a scanner sees “changes with tickets” while an auditor sees SoD violations. Emergency Changes and Retroactive Approvals: Common Rejection Triggers Every audit period contains hotfixes. Auditors don’t reject emergency changes. They reject emergency changes with no documented post-hoc review. If your policy says urgent changes get retroactive approval within two business days, the auditor will sample your emergency changes and check exactly that. No policy, or a policy nobody followed, produces an exception. Rebuilding Change Management Evidence Auditors Will Accept Enforce the control technically: branch protection requiring at least one independent reviewer, no admin bypass, and deploy pipelines that only run from protected branches. Then write the emergency change procedure down and generate the review artifact every time it fires.
One in five breached organizations last year traced the incident to shadow AI, and those breaches cost an average of $670,000 more than standard incidents, according to IBM’s 2025 Cost of a Data Breach Report. The worst part is that most of those organizations already ran a CASB, a DLP program, or both. The tools were on, but the traffic still got through. That’s the visibility gap this article is about. AI tool usage tracking isn’t the same problem as SaaS discovery, and the security stack built for the SaaS era misses most of what matters about AI. Below, we break down what tracking actually requires, where CASB and DLP fail, which categories of AI usage slip through, and what a stack that works looks like in 2026. What AI Tool Usage Tracking Actually Means Most teams that say they “track AI usage” mean they can see that someone visited chat.openai.com. That is app discovery, and it answers almost none of the questions a security or governance team actually needs answered. Beyond App Discovery: Tracking Prompts, Data Flows, and Model Interactions Real tracking covers three layers. First, which tools are in use: chatbots, copilots, coding assistants, embedded SaaS features, agents. Second, what data moves: the content of prompts, uploaded files, and pasted context, mapped against data classifications. Third, how models behave in your environment: which endpoints get called, which OAuth grants exist, which agents hold standing permissions. Seeing that an employee opened ChatGPT gets you nowhere. What you actually need to know is whether they pasted a customer contract into a personal account while they were there. The Difference Between Detection, Monitoring, and Continuous Tracking Detection is a point-in-time answer to “what AI is here?” Monitoring watches known tools on an ongoing basis. Continuous tracking is broader: it assumes the inventory changes weekly, correlates identity, data, and endpoint signals over time, and feeds a governance program rather than a one-off report. Frameworks such as the NIST AI Risk Management Framework and ISO 42001 assume the third mode. A discovery scan from last quarter won’t satisfy an auditor, and it certainly won’t slow down an attacker. Why Traditional SaaS Monitoring Falls Short for AI SaaS monitoring was built around a stable premise: an app is a destination with a domain, a login, and an admin console. AI breaks that premise in several ways at once. The risky activity is the content of an interaction, not the visit. The tool often isn’t a destination at all but a feature inside an app you already sanctioned. And increasingly the “user” isn’t a person but an agent acting on delegated credentials. Why CASB Misses Shadow AI Usage The Cloud Access Security Broker sits between users and cloud services to enforce policy, and for classic SaaS governance it still earns its keep. AI has structural blind spots that no amount of tuning can fix. CASBs Were Built for SaaS Apps, Not Model Endpoints A CASB catalog maps domains to applications with risk scores. AI usage doesn’t resolve neatly to a domain. The same api.openai.com endpoint serves a sanctioned enterprise deployment, a developer’s weekend experiment, and a data-leaking browser extension, and the catalog sees one “app”. Meanwhile, new model endpoints, wrappers, and niche AI tools appear faster than any vendor catalog can keep up with. Gartner research from late 2025 found 69% of organizations already suspect or have evidence that employees use prohibited public generative AI tools, catalog or no catalog. Blind Spots in Encrypted API Traffic to LLM Providers Prompt content travels over TLS. Without full TLS inspection, a CASB sees connection metadata: destination, volume, timing. It can’t see that the payload contained source code or patient records. And full TLS inspection is harder than the datasheet implies. Certificate pinning breaks it for many native apps and CLI tools, legal and works-council constraints limit it in the EU, and most organizations carve out broad exemption lists that AI traffic happily rides through. The OAuth and Embedded AI Problem CASBs Can’t See When an employee grants an AI meeting-notes tool access to their calendar and mailbox via OAuth, no proxy is involved at all. The vendor’s servers communicate directly with Microsoft’s or Google’s APIs using a persistent token. The same applies to AI features embedded inside sanctioned SaaS, think Notion AI, Slack AI, or Salesforce Einstein. The CASB sees approved traffic to an approved app, while the AI processing happening inside it, and whichever sub-processor it forwards data to, stays invisible. Personal Accounts and BYO-AI Bypass CASB Proxies Netskope’s 2026 Cloud and Threat Report found that nearly half of employees who use generative AI at work do so through personal accounts. Personal accounts on managed devices are hard enough; personal accounts on personal devices, home networks, and mobile connections never touch the corporate proxy path at all. Tenant restrictions help for a handful of major providers and do nothing for the long tail. Browser-Based and Extension-Delivered AI Escape Network Inspection AI browser extensions read page content and form inputs locally, then exfiltrate via their own backend, often to generic cloud infrastructure that categorizes as “technology” rather than “AI”. From the network’s view, it is routine HTTPS to a CDN. The riskiest interaction, an extension scraping everything an employee views, produces the most boring traffic signature. Insider Note: In AI governance readiness assessments, the OAuth grant review is where clients get the biggest surprise. We routinely find dozens of AI tools holding live mail, calendar, or drive scopes that nobody in IT ever approved, granted by employees who abandoned the tool (and sometimes the company) months earlier. The tokens keep working anyway. Why DLP Fails to Catch Shadow AI Data Exposure DLP has the opposite problem. It can sometimes see content, but it doesn’t understand it, and AI interactions defeat the pattern matching it depends on. Prompt-Based Data Loss Doesn’t Match DLP Signature Patterns DLP fires on signatures: credit card regexes, SSN formats, keyword dictionaries, file fingerprints. Sensitive prompts rarely look like that. “Summarize why we’re losing
Most SOC 2 preparation effort goes into access controls, encryption, and vendor reviews. Then the auditor’s first evidence request arrives, and item one has nothing to do with technology: show us your board charter, your meeting minutes, and proof that your board operates independently from management. That’s CC1.2, and it causes more last-minute scrambling than almost any technical control in the framework. This guide explains what CC1.2 requires, provides a board charter template with sample language that auditors accept, and covers the situation most startups actually face: satisfying the criterion without a traditional board of directors. What Is a SOC 2 Board Charter and Why It Matters for CC1.2 A board charter is a formal document that defines your board’s purpose, composition, authority, meeting procedures, and oversight responsibilities. Outside of compliance, it’s a corporate governance tool and a good idea in general for companies with shareholders. Inside a SOC 2 audit, it’s the primary design evidence for CC1.2, the criterion that asks whether an independent body oversees management and the internal control environment. The charter matters because CC1.2 is one of the few criteria where the control is a document plus behavior. The charter establishes the structure. The auditor then tests whether the structure operates: did the board actually meet, did it review the security program, did it challenge management? A beautifully drafted charter with no meeting minutes behind it fails just as surely as no charter at all. If you’re earlier in your preparation, our complete SOC 2 guide covers how the full audit fits together. Understanding CC1.2: The Board Independence Criterion CC1.2 is part of the Trust Services Criteria published by the AICPA (American Institute of Certified Public Accountants). The criterion requires that the board of directors, in the AICPA’s words, “demonstrates independence from management and exercises oversight” of how internal control is developed and how it performs. That sentence hides two separate tests. Independence means the board isn’t just management wearing a second hat. Active oversight means the board actually reviews and challenges the control environment instead of existing on paper. Plenty of companies pass one and fail the other. How CC1.2 Fits Within the CC1 Control Environment The Common Criteria run from CC1 through CC9, and the CC1 series covers the control environment: the governance and people layer everything else rests on. CC1.1 addresses integrity and ethical values, CC1.2 addresses board independence and oversight, CC1.3 covers organizational structure and reporting lines, CC1.4 covers competence and hiring, and CC1.5 covers accountability. CC1.2 is the layer that makes the other four credible. A code of conduct means little if nobody independent of management ever checks whether leadership follows it. The COSO Principle 2 Connection The Trust Services Criteria are built directly on the COSO Internal Control—Integrated Framework and its 17 principles. CC1.2 maps to COSO Principle 2, which carries four points of focus: the board establishes oversight responsibilities, applies relevant expertise, operates independently of management, and provides oversight of the system of internal control. Those four phrases are worth memorizing, because they’re effectively the outline of a good board charter. Why Auditors Prioritize Board Charter Evidence Auditors test the control environment first because failures there cascade. If governance is weak, every other control claim gets harder to trust: who approved the risk assessment, who reviewed the incident report, who held management accountable when a control slipped? An exception at CC1.2 tells the auditor that nobody independent was watching, and they’ll read the rest of your evidence with that in mind. That’s why board charter requests sit near the top of almost every evidence list. Worth Knowing: Points of Focus Points of focus are not pass/fail requirements. The AICPA describes them as characteristics that assist evaluation, and the 2022 revisions changed points of focus without changing any criteria. In practice, though, they function as the auditor’s mental checklist, so drafting your charter against them is the safest move. What Auditors Actually Look For in a Board Charter Auditors don’t grade prose style. They scan for specific, verifiable commitments. Here’s what they check, roughly in order. Documented Board Independence from Management The charter must state how many members are independent, define what independence means (no operational role, no material financial relationship beyond board compensation or equity), and describe how independence is maintained. “The board includes members independent of management” without a definition is boilerplate; auditors want criteria they can test against actual member profiles. Defined Oversight Responsibilities This is the heart of CC1.2. The charter should explicitly assign the board oversight of internal control, information security, and risk management. If the charter only mentions financial oversight and strategy, it wasn’t written with SOC 2 in mind, and the auditor will notice the gap. Clear Authority and Decision-Making Powers What can the board approve, veto, or demand? Typical provisions include approving the risk management framework, reviewing audit results, approving executive appointments, and requiring management to report on control deficiencies. Authority without teeth reads as decorative. Meeting Cadence and Quorum Requirements The charter should commit to a minimum meeting frequency (quarterly is the common standard) and define a quorum. This clause matters more than founders expect, because it’s the one auditors test directly against your calendar: if the charter says quarterly and you met twice last year, that’s an exception you wrote for yourself. Committee Structures Larger organizations delegate through audit, risk, and compensation committees, each with its own mini-charter. Smaller companies don’t need committees, but if your charter mentions them, they must exist and produce minutes. Never copy a public-company template with a phantom audit committee. Conflict of Interest Provisions A disclosure and recusal process for conflicts, usually paired with an annual attestation. This clause supports the independence claim: independence isn’t a one-time status, it’s maintained through disclosed and managed conflicts. Evidence of Board Member Expertise and Qualifications COSO’s “applies relevant expertise” point of focus means the board should be able to ask probing questions about security and risk, not just finance. Charters increasingly include a skills expectation clause, and
FAQ
Frequently Asked Questions
Do I need to already have Drata before working with Axipro?
No. If you’re already on Drata, we’ll work within your existing setup. If you haven’t chosen a platform yet, we can help you evaluate whether Drata is the right fit, handle onboarding, and configure it alongside your compliance program from day one. We also work with teams using other platforms, though our deepest expertise is with Drata.
How long does it take to get audit-ready?
A typical SOC 2 engagement takes around 6 weeks from kickoff to audit-ready. The exact timeline depends on your current security posture, the framework(s) you’re pursuing, and how quickly your team can action items on their side. During the free readiness assessment, we’ll give you a realistic timeline based on where you actually stand — not a generic estimate.
What frameworks does Axipro support?
We implement and manage compliance programs across SOC 2 Type I and II, ISO 27001, HIPAA, GDPR, PCI DSS, NIST CSF, CMMC, DORA, ISO 9001, ISO 13485, ISO 14001, ISO 22000, ISO 45001, R2, and SOX. If you need multiple frameworks, we build a unified program so you’re not duplicating effort across certifications.
What happens after we get certified?
Certification isn’t the finish line — it’s the beginning of an ongoing compliance obligation. Axipro offers continuous compliance management so your controls stay effective, your evidence stays current, and renewals don’t turn into fire drills. We can manage your program on an ongoing basis or support you only at renewal time, whichever fits your team.
What does Axipro actually do that Drata doesn't?
Drata automates evidence collection, control monitoring, and audit workflows, and it does that very well. What it doesn’t do is tell you whether your scope is right, whether your controls are appropriate for your business, or whether your evidence will survive auditor scrutiny. Axipro handles the judgment calls: scoping, control design, readiness validation, audit coordination, and remediation. Think of it as Drata runs the engine, Axipro makes sure you’re driving in the right direction.
Do we need to be in the same location?
Engagements are delivered however works best for you. Most clients work with us fully remotely, but we can accommodate hybrid or on-site arrangements depending on your needs and preferences.
Is there a minimum company size?
No. We work with pre-revenue startups preparing for their first SOC 2, mid-market companies adding ISO 27001 for enterprise sales, and established businesses managing multiple frameworks. The engagement is scoped to your size and complexity, not a one-size-fits-all package.
What does the free readiness assessment include?
It’s a 30-minute session where we review your current compliance posture, identify your biggest gaps, and give you a realistic timeline and scope estimate for certification. You’ll walk away with a clear picture of what’s needed — whether you work with us or not. No commitment, no sales pressure.