MANAGED CYBERSECURITY SERVICES FOR SMALL AND MID-SIZED COMPANIES THAT USE AI
Your attack surface used to be your apps, cloud, and network. Now it also includes the support chatbot, the AI agent that can call your APIs, and whatever code your developers paste into an AI assistant on a busy afternoon.
Our managed cybersecurity services cover all of it. We test your systems and AI features, close the gaps, and keep you audit-ready for ISO 27001, SOC 2, and the new AI standards. You get a senior security team without having to hire one. And since we're a software engineering company first, we won't hand you a PDF and disappear. Our engineers help fix what we find in your code, cloud, delivery pipeline, and AI integrations.
What are managed cybersecurity services?
Managed cybersecurity services are security functions you hand to an outside team instead of staffing them in-house, either as a one-off project or an ongoing arrangement. They usually cover security testing, risk assessment, compliance, security leadership, incident response, and security monitoring.
These days cybersecurity managed services also include securing your AI: checking how models, agents, and third-party AI tools handle your data, and whether that would hold up in front of a regulator or a customer’s security team.
Most companies start looking for a managed security service provider (MSSP) when something forces the issue:
You don't have a CISO or a dedicated security engineer, and someone needs to own this
A customer, investor, or regulator asks for ISO 27001, SOC 2, or PCI DSS evidence
An enterprise prospect sends a security questionnaire, and nobody on your team can confidently answer the section on AI
Your product ships AI features faster than your security practices can keep up
People across the company use AI tools with company data, and no one's quite sure which tools or which data
You've already had an incident and still don't know how it happened
Why security can't wait, especially once AI is involved
Every feature, integration, and cloud service you add gives attackers another way in. AI adds them faster than most teams can keep track of. A chatbot wired into your internal docs can be coaxed into repeating them, and an agent with API access can be talked into using it for the wrong reasons. Your existing controls weren’t built to notice either one.
Attackers have AI too. They use it to write phishing that doesn’t read like phishing, clone an executive’s voice, and scan for vulnerabilities at a scale no human team could manage.
Here’s where ignoring it tends to hurt:
Data breaches mean investigations, notification letters, and deals that quietly fall through. With AI in the stack, data can also leave through prompts, model outputs, and badly scoped RAG retrieval.
Fraud, ransomware, and downtime hit revenue directly, and deepfake payment requests have made social engineering cheaper to pull off
GDPR, NIS2, and PCI DSS come with fines and contractual consequences. The EU AI Act adds obligations for anyone who builds or deploys AI systems.
Then there’s the quiet cost. When security and legal can’t assess AI risk, they block AI projects, and good ideas sit in review instead of shipping.
Our managed cybersecurity services
We cover your infrastructure, software, AI, and people, from classic penetration testing to AI red teaming and governance. You can start with one or combine several managed security services.
Penetration testing and red teaming
Our penetration testing services go after your web and mobile apps, APIs, cloud, and network the way a real attacker would. Automated scanning finds the obvious problems quickly, which frees our testers to spend their time on manual exploitation and the business logic flaws scanners miss.
We test black-box, gray-box, or white-box, depending on how much you want to tell us up front. Scope can include OWASP Top 10 testing, social engineering, DoS/DDoS resilience checks, or a full red team exercise. AI-assisted tooling speeds up reconnaissance and coverage, and a person verifies every finding before it goes into the report.
Once you've fixed the issues, we retest to make sure they're actually closed.
Deliverable: a penetration test report with evidence, risk ratings, and remediation steps, plus a retest report.
AI and LLM security testing
We test chatbots, copilots, AI agents, and RAG systems against the OWASP Top 10 for LLM Applications and the techniques attackers use, including:
- Prompt injection and jailbreaks, whether typed directly or hidden in documents, emails, and web pages
- Sensitive data leaking through prompts, outputs, logs, or embeddings
- Excessive agency, where an agent has more access to tools, APIs, and data than its job needs
- Insecure output handling (model responses that end up triggering code, queries, or actions)
- Weak access control in vector databases and retrieval pipelines
- Supply chain risk from third-party models, plugins, and MCP integrations
Then we work with your engineers to add guardrails, tighten permissions, and set up tests that keep catching regressions as models and prompts change.
Deliverable: an AI security assessment report with attack scenarios, evidence, risk ratings, and a guardrail and remediation plan.
Security audits and risk assessment
We check your infrastructure, processes, people, and AI usage against security standards and best practice. Part of that is finding out which AI tools are really in use across the company, including the ones nobody approved ("shadow AI"), and what data they touch.
Every finding gets a risk rating based on likelihood and business impact, so you know what to fix this week and what can wait until next quarter.
Deliverable: a security assessment report, an inventory of the AI tools in use, and a prioritized action plan.
Application security and source code review
A lot of vulnerabilities start in the code, and more of that code is now written with AI assistants. We run static analysis and AI-assisted review first. Then a person reads the high-risk logic by hand: authentication, payments, and access control.
AI-generated code gets extra attention. It tends to look clean and sail through review while hiding insecure defaults, outdated libraries, or dependencies the model simply made up. We also check your third-party packages for known issues and review the architecture for insecure design before it reaches production.
DeliverableDeliverable: code review findings with fix recommendations, plus a threat model for critical components, AI features included. a security assessment report, an inventory of the AI tools in use, and a prioritized action plan.
DevSecOps, MLSecOps, and secure SDLC
We help build security into the way your team already ships software and AI, so it stops being a last-minute gate before release. In practice, that means:
- Security requirements agreed at the design stage
- SAST, DAST, dependency scanning, and secret scanning running in your CI/CD pipeline
- Secure coding guidelines, including rules for using AI coding assistants safely
If you train, fine-tune, or deploy your own models, we bring the same discipline to the ML lifecycle: data and model provenance, model registry access, secure deployment, and automated AI evaluation in the pipeline.
This is where our own engineering, DevOps, and AI teams come in, so the changes fit how your developers work.
Security compliance: ISO 27001, SOC 2, PCI DSS, GDPR, NIS2
We take you from gap analysis to whatever proof your customers and auditors need: an ISO 27001 certificate, a SOC 2 report, PCI DSS compliance, or documented GDPR and NIS2 readiness. And we stick around for what comes after. That covers:
- Policies that describe how your company works, not a template with your logo on top
- Risk assessment and control implementation
- Support during the external audit
- Surveillance audits and recertification once you're certified
AI tools speed up evidence collection, gap mapping, and first drafts of policies. Our consultants review all of it and own everything that goes to the auditor.
We support ISO 27001, SOC 2, PCI DSS, GDPR, NIS2, the EU Cyber Resilience Act (CRA), TISAX, and VDA ISA.
Deliverable: an implemented ISMS or control set, audit-ready documentation, and certification support.
Virtual CISO (vCISO) services
Our vCISO services give you a senior security leader without a full-time executive salary. Your vCISO sets the security strategy and budget priorities, owns policies and risk management, oversees compliance, and reports to leadership and the board in plain business terms.
They also own your AI security agenda: which AI tools are approved, how AI risk gets measured, and how you stay ahead of new AI rules.
Deliverable: a security and AI governance roadmap, a policy set, and regular risk reports.
Incident response and forensic investigations
When something goes wrong, we help you contain it, figure out how it happened, and reduce the chance of it happening again. That includes AI incidents, like data exposed through an AI assistant, an agent manipulated into actions it shouldn't take, or a deepfake call asking your finance team to wire money.
The better time to call us is before any of that happens. We write incident response procedures that cover AI scenarios and set up the logging and alerting you'll need to spot an attack, including logs of AI prompts and agent actions.
If you need continuous monitoring, we set that up too and connect it to the same procedures, so detection and response work as one process.
Deliverable: an incident report with root cause, impact, and preventive measures.
Security awareness training
Unpatched software gets exploited more often, but people are still a big part of how breaches happen, and AI makes the bait harder to spot. Your developers learn secure coding, threat modeling, and how to use AI coding assistants safely. Everyone else learns to recognize AI-written phishing, voice and video deepfakes, and the risk of pasting company data into AI tools.
Afterward, we run simulated campaigns to see what stuck.
Deliverable: training sessions, materials, and results from phishing and social engineering simulations.
Not sure where to start?
We'll map your risks, AI included, and suggest a first step
AI-assisted managed cybersecurity: faster work, same human judgment
We also use AI in our own security work, within whatever confidentiality rules you set. It takes over the repetitive parts so our specialists can spend their hours where judgment matters:
In penetration testing, AI handles reconnaissance, attack surface mapping, and test case generation. Testers get more time for manual exploitation and business logic.
For threat modeling, it helps map data flows and attack paths across complex architectures, agents and integrations included.
In code review, AI-assisted triage gets through large codebases quickly and filters out false positives before an expert looks at the findings.
On compliance projects, it speeds up control mapping, evidence collection, and first drafts of policies, which shortens the road to ISO 27001, SOC 2, and ISO 42001.
Your data stays where you want it. We only use AI tools that meet your security and confidentiality requirements, and we never share client data with public models without your approval. If your policies rule out external AI tools entirely, we work without them.
Flexible engagement models: fully managed, co-managed, or project-based
Fully managed security
A long-term security function led by a vCISO, under one agreement. It covers regular testing, compliance upkeep, policy ownership, AI governance, and incident readiness.
If you don't have in-house security staff, outsourced cybersecurity services like this are usually the fastest route to a mature security program.
Co-managed security
Our specialists work alongside your IT, DevOps, engineering, or AI team. You keep ownership of your systems, and we bring the expertise you don't have in-house, from penetration testing to AI red teaming.
Project-based cybersecurity professional services
A fixed scope on a fixed timeline. Typical examples are a penetration test before a release, an AI security assessment before a feature goes live, a code audit ahead of an investment round, or ISO 27001 certification by a hard deadline.
How our managed cybersecurity engagement works
01
NDA first
We sign one before you tell us anything sensitive.
02
Discovery
You fill in a short questionnaire and join a scoping call, so we understand your environment, AI usage, goals, and constraints.
03
Proposal
We send a commercial offer with scope, timeline, and approach.
04
Agreement
We agree on a statement of work and, for testing, rules of engagement that spell out exactly what we can and can't touch, AI systems and test data included.
05
Fieldwork
We start quietly, with documentation review and open-source intelligence (OSINT). Then comes the active part: interviews, compliance checks, vulnerability discovery, AI attack simulation, exploitation, and evidence collection.
06
Report, fix, retest
You get a report and a debrief, and our engineers can help fix the findings, including AI guardrails. Then we retest and move into ongoing support if you want it.
What's in the report
Every assessment ends with a report written for two audiences: the people who decide and the people who fix.
- An executive summary with your overall risk level and top priorities, in plain language
- Scope and methodology, so you know what we tested and how (AI components included)
- Each vulnerability or compliance gap with evidence, such as logs, screenshots, request/response samples, and prompt and response transcripts for AI findings
- A likelihood and impact rating for every finding
- A remediation plan with fixes grouped and prioritized
- Longer-term recommendations for raising your security and AI governance maturity
After the issues are fixed, we retest. Then you get a final security report and a certificate of completion you can share with customers, partners, and auditors.
Need proof of security for a key client or an upcoming audit?
ISO 27001, SOC 2, and ISO 42001 compliance, step by step
ISO 27001 certification in three stages
- Initial audit [approx. 1 month]. We interview your team, review documents, and look at processes, infrastructure, and physical security. You get a gap analysis and a detailed implementation schedule.
- Implementation [4-9 months]. This is the bulk of the work. We set up a GRC tool, classify assets, assess risks, and implement controls such as access management, change and incident management, network security, secure SDLC, and staff training. You end up with about 40 policies and procedures that describe how your company really operates, including how it uses AI tools.
- Certification [1-2 months]. We help you choose a certification body accredited by IAF MLA: ANAB, IAS, UKAS, COFRAC, DAkkS, support the pre-audit, close the remaining gaps, and support you during the final audit.
Timelines depend on company size, scope, and how much is already in place.
SOC 2 for SaaS and technology companies
A SOC 2 report shows US customers that your systems meet the AICPA Trust Services Criteria for security, plus availability, processing integrity, confidentiality, or privacy if they’re in scope. If your SaaS product has AI features, we make sure your controls also cover how customer data moves through models and third-party AI providers.
Depending on your budget, you can start with a consultative readiness audit or prepare for a formal attestation issued by a CPA firm.
Why choose Aimprosoft as your managed cybersecurity services provider
We find it and fix it
Many security firms stop at the report. We're a software engineering company first, so the team that finds a vulnerability can also fix it in your codebase, cloud setup, CI/CD pipeline, or AI integration.
Security that understands software and AI
We've spent 20+ years building software products and have hands-on experience building AI features. We know how these systems get designed, deployed, and maintained in real life, so our recommendations are ones your engineers can implement.
One partner for security, engineering, and AI
You don't need one vendor for pentesting, another for compliance, a third for AI governance, and a fourth to fix everything they found. Our managed cyber security services cover the whole cycle with one team, from risk assessment to secure AI implementation.
Built for US and European compliance
We work with clients in the US, UK, and EU, so we know both sides of the Atlantic. For US clients that usually means SOC 2, PCI DSS, and the NIST AI RMF. In Europe, it's GDPR, NIS2, the Cyber Resilience Act, and the EU AI Act.
Long-term partnerships
70% of our clients have worked with us for more than five years, and 85% recommend us to peers. We'd rather improve your security year after year than sell you a one-off report.
We follow our own advice
Aimprosoft is Cyber Essentials certified and an AWS Select Tier Services Partner. We apply the practices we recommend to our own operations, AI usage policies included.
Security, engineering, and AI under one roof
Industries we protect
Your team shows up already knowing the rules, risks, and AI opportunities in your industry, so it doesn't spend the first weeks on basics.
PCI DSS, transaction integrity, fraud-resistant architecture, and secure AI for fraud detection and customer support
Patient data protection, secure integrations, and AI that handles sensitive health data safely
SaaS and technology
SOC 2, ISO 27001, ISO 42001, secure multi-tenant design, and security for AI features
Large-scale infrastructure, customer portals, and AI-powered support channels
Checkout, payment, and customer data security, plus AI search and recommendations
IT/OT security for PLCs, SCADA, and industrial networks, including AI-driven predictive maintenance
MSSP vs MSP vs in-house security team
MSSP (managed cybersecurity)
MSP (managed IT)
In-house security team
Focus
Security testing, compliance, risk, incident response
Keeping IT systems running
Whatever the team is staffed for
Security depth
Specialists across many disciplines
Basic hygiene (patching, antivirus)
Limited to the people you can hire
AI security and governance
AI/LLM testing, AI compliance, AI policies
Rarely
Needs rare, hard-to-hire skills
Compliance support
Core service
Rarely
Possible with experienced hires
Cost
Predictable, scales with scope
Predictable, but security costs extra
High: salaries, tools, training
Time to start
Weeks
Weeks
Months to hire and onboard
You don't have to pick just one. A lot of companies keep an MSP or internal IT team on day-to-day operations and bring in a managed cybersecurity services provider for testing, compliance, AI security, and security leadership.
Ready to secure your business, AI included?
Tell us what's on your plate: an upcoming release, a new AI feature, an audit deadline, or a security questionnaire from a client you really don't want to lose. We'll get back to you within one business day with a recommended approach.
FAQ about managed security services
They’re security functions handled by an outside team instead of in-house staff. Typical managed cyber security services include penetration testing, risk assessment, compliance implementation, vCISO leadership, and incident response, delivered as a project or on an ongoing basis. Today they can also cover AI security and AI governance.
An MSP (managed service provider) keeps your IT running: devices, networks, help desk, and updates. An MSSP (managed security service provider) protects those systems through security testing, compliance, risk management, and incident response. Many businesses use both.
Building a full security team is slow and expensive, and very few companies need every specialist full time. AI security people are especially hard to hire. An MSSP gives you penetration testers, compliance experts, AI security specialists, and security leadership when you need them, at a predictable cost.
Most managed IT providers cover basic security hygiene like patching, antivirus, backups, and firewalls. Deeper work, such as penetration testing, code review, AI security testing, and ISO 27001 or SOC 2 compliance, usually needs a specialized cybersecurity services provider.
The right cybersecurity services provider depends on what you’re protecting, but a few checks apply to almost everyone. When you compare managed security services, look at:
- ●The team’s certifications and relevant experience
- ●A sample deliverable or report structure
- ●Support for the compliance frameworks you need
- ●How they test AI systems and handle AI governance, if you build or use AI
- ●Clear scoping, defined rules of engagement, and help with fixes rather than just a list of findings
Yes, and it’s one of the most common setups. We work inside your tools and processes, share what we know with your engineering and AI teams, and leave them more capable than we found them.
Yes. We test chatbots, copilots, AI agents, and RAG systems against the OWASP Top 10 for LLM Applications, looking for prompt injection, data leakage, excessive agent permissions, improper output handling, and supply chain risks. Our engineers can then help you add guardrails and monitoring.
Yes. We monitor your environment for threats and connect alerts to your incident response procedures, so anything suspicious gets investigated by people who already know your systems. We also help design the logging and alerting you need, including logs of AI prompts and agent actions.
Yes, where your policies allow it. We use AI-assisted tools for reconnaissance, code review triage, and compliance documentation so we can work faster, and our specialists verify every finding. We never share client data with public models without your approval, and we can work without external AI tools if you need us to.
Usually six to 12 months in total: about a month for the initial audit, four to nine months for implementation, and one to two months for certification. Smaller scopes, and companies that already have some security practices in place, move faster.