Risks we protect you from
As AI becomes part of critical systems, our pentesting is built for high-risk industries, enterprise SaaS, and teams launching AI copilots, agents, and RAG features who need security they can rely on
Teams rolling out AI copilots,
agents, and RAG features
Biotech
SaaS platforms
Digital Health
enterprise platforms
FinTech
What we test
We test the parts of your AI stack that break in the real world
Cloud and secrets surface
Buckets, logs, and telemetry that leak data. Prompt and context redaction for PII/PHI where relevant.
Tools, plug-ins, and APIs
Keys and secrets in context. Unsafe action invocation and lateral movement.
Model interfaces
Prompt injection and jailbreaks. Model extraction via crafted queries (when in scope).
RAG pipelines
Retriever setup, chunking and metadata hygiene. Vector database boundaries and query isolation.
AI agents (planner, memory, tools)
Permission misuse and goal hijacking. Task queue manipulation and cross-agent escalation.
LLM applications
Conversation flows, safety controls, abuse handling. Authentication, sessions, rate limiting.
Approach
We build trust in your technology. The goal is simple: reduce unknown vulnerabilities, protect valuable data, and keep your product reliable and safe
Checklist Assurance
Recognizing the possibility of human error, we counteract it by providing detailed AI security checklists covering OWASP LLM Top 10, MITRE ATLAS techniques, and AI-specific attack vectors.
Comprehensive Coverage
Each detection method excels at identifying particular types of vulnerabilities. We combine manual testing, targeted code review, and autonomous pentest agents (CAI, XBow) to cover the full AI and LLM attack surface.
Personalized Testing
Before testing, we conduct AI-specific threat modeling to pinpoint risks in your model integration, data flows, and agent or RAG pipelines. This ensures scope is realistic and high-impact.
Developer DNA
Code-informed testing stands out as the prime risk-reduction strategy, and we're masters at it. Many of our team have a developer background, enabling deeper analysis of AI workflows and custom integrations.
Business-Oriented
Guided by your business context and risk management priorities, we provide AI security solutions tailored to protect your data, reputation, and compliance posture.
Transparent
Scope decomposition, regular updates, and a dedicated manager keep you fully informed throughout the AI pentest process.
Unbiased
By having at least two security engineers on each AI pentest project, we ensure findings are reviewed from multiple perspectives, reducing false positives and missed issues.
Seamless Integration
Our dedicated manager coordinates with your engineering teams, making the AI pentest process feel like an extension of your development workflow.
Methodologies
We don’t just name-drop frameworks — we apply them in every AI pentest. Our work is guided by proven security standards and adapted to the unique risks of AI systems. Every engagement ends with a clear checklist and threat model so you know exactly what was tested and why it matters
OWASP LLM Top 10 — full checklist coverage for AI-specific vulnerabilities
OWASP AI Testing Guide — comprehensive testing framework for AI system security
NIST AI RMF — aligning outcomes to recognized AI risk management principles
PTES — comprehensive pentest execution framework
OWASP ASVS & WSTG — for supporting application security layers in AI stacks
How it works
Cybersecurity is complex. Your path to enterprise readiness doesn’t have to be
Intro & Planning
Schedule a call, and we will:
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Understand your AI application, architecture, and business context
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Define the scope: LLM apps, RAG pipelines, agents, tools, and integrations
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Agree on testing rules and objectives
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Provide a tailored proposal and estimate
Rules of Engagement & Data Handling
Our security engineers will:
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Map attack surfaces across prompts, data flows, and model integrations
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Test for AI-specific threats: prompt injection, jailbreaks, RAG poisoning, tool misuse, agent hijacking, and model extraction (if in scope)
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Review source code where provided
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Run autonomous pentest agents (CAI, XBow) alongside manual testing to maximize coverage
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Document all tests in a detailed checklist
Security Testing
Upon completion, our team will:
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Deliver a clear report on each finding, its risk, and real-world impact
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Provide evidence: prompts, payloads, transcripts, and screenshots
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Walk your team through results for full understanding
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Give actionable remediation steps your engineers can apply immediately
Support & Retesting
Post-assessment, we're still with you:
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Retest after fixes to confirm all critical and high-risk issues are resolved
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Issue a Letter of Attestation once verification is complete
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If any questions come up, our team will be there to help
Reporting & Insights
Upon completion, our team will:
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Deliver a clear report on each finding, its risk, and real-world impact
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Provide evidence: prompts, payloads, transcripts, and screenshots
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Walk your team through results for full understanding
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Give actionable remediation steps your engineers can apply immediately
From findings to peace of mind
You get a report that engineers can act on and leaders can trust
AI & LLM Penetration Testing Report
A dual-focused document combining an executive summary for decision-makers with in-depth technical findings for your engineers. Includes real-world impact, reproduction steps, and prioritized fixes
Threat Model Document
A structured representation of the threat landscape tailored to your environment, highlighting potential threats and their prioritized mitigation
Testing Checklist
A comprehensive list enumerating every test we conducted, ensuring transparency and thoroughness in our approach
Letter of Attestation
A formal statement confirming all critical and high-risk issues have been remediated and verified, providing independent validation of your system’s security posture
Representative findings (anonymized)
Real examples of issues we’ve identified and helped clients fix. Each one shows the kinds of vulnerabilities that can slip through without focused AI/LLM security testing.
01
Agent tool misuse. Unauthorized data access.
What we tested:
A support copilot with search and file retrieval tools.
What we did:
Steered the agent into triggering a high-permission tool without checks.
What we found:
Access to invoices and configuration files containing environment variables.
Why it mattered:
Allowed sensitive data exfiltration via “helpful” tool misuse.
Fix implemented:
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Least privilege for tools
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Pre-execution guardrails
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Output sanitization
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Abuse simulations in testing
02
RAG namespace escape. Cross-tenant data leakage.
What we tested:
Multi-tenant knowledge assistant using a shared vector database.
What we did:
Crafted queries exploiting missing tenant filters.
What we found:
Snippets from another tenant’s documents in responses.
Why it mattered:
Violated data isolation, risking regulatory breaches and trust.
Fix implemented:
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Strict metadata and namespace isolation
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Per-tenant database collections
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Application-layer filter enforcement
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Filter validation in CI/CD
Certifications
Our certifications reflect the expertise behind cybersecurity solutions that protect your business
What our clients are saying
90% of our clients return
Sekurno exceeded our expectations, identifying critical vulnerabilities that neither we nor other vendors had detected, and providing actionable recommendations. Their team was responsive, flexible, and consistently provided valuable insights.
Sep 18, 2024
Markus T.
Chief Technology Architect
If you are going to invest in penetration testing, make sure it is more than just a formality. Work with a partner who helps you learn something from the process and improves your actual security. With Sekurno, we received useful feedback and our team became more security aware as a result.
April 11, 2025
Mads
CTO
Our collaboration with Sekurno has consistently been seamless.
Jun 12, 2023
Roy
DG VP
We were genuinely impressed; Sekurno identified vulnerabilities that even major cybersecurity companies within the Google group missed
April 11, 2025
Chan S.
CEO
Their expertise was evident in every aspect of the engagement.
Sep 18, 2024
Max, R.
Deputy CTO
Still have a questions?
Frequently asked questions
Yes. We test your application layer, prompts, retrieval, tools, and agents around those providers, and we respect their rate limits and terms.
We prefer a staging or sandbox environment. Production testing is possible with written rules of engagement, allow-listed IPs, and non-destructive methods.
Test accounts, test data, API endpoints, and any documentation on prompts, tools, RAG, and agents. Optional but helpful: read-only code or config access, and a diagram of your architecture.
Typical scope is 2 - 4 weeks depending on complexity: number of apps, tools, data sources, tenants, and whether code access is provided.
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AI & LLM pentest report with impact and clear repro steps
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Threat model tailored to your system
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Completed checklists: OWASP LLM Top 10, WSTG, MASTG
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Evidence: prompts, payloads, transcripts, and screenshots
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Retest results and, when Critical/High issues are fixed, a Letter of Attestation
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Yes. We retest once after you implement fixes to confirm closure of Critical and High issues.
We minimize test data, use sanitized artifacts, and delete on request under an agreed policy. If regulated data is involved, we align with your controls.
Yes, in addition to manual testing and optional code review. We run autonomous pentest agents (e.g., CAI) under strict boundaries to extend coverage without risking unsafe actions.
Only with explicit consent and agreed rate limits. Many clients choose to exclude it; when included, we run it safely and document the approach.
We validate metadata and namespace isolation, attempt cross-tenant retrieval under controlled conditions, and verify application-layer filters.
By scope and complexity: number of applications, tools, connectors, tenants, and environments; whether code review is included; and any optional modules (e.g., model extraction).
Yes. We align on rules of engagement up front, provide regular updates, and map results to your internal processes to speed remediation.