AI & Application
Security Services
Automated tools find the obvious. Our security specialists find everything else — business logic flaws, complex injection chains, architectural weaknesses, and zero-days that scanners miss.
Every engagement delivers actionable findings with the full context your developers need to fix them. Not just a list of CVEs — a roadmap to security.
What we offer
Each service is scoped to your environment, delivered by specialists, and backed by clear remediation guidance.
Source Code Review
Deep analysis of your source code combining automated scanning with expert human review. We detect insecure coding patterns, cryptographic misuse, injection flaws, and data leakage risks across your entire codebase.
Source Code Review
Deep analysis of your source code combining automated scanning with expert human review. We detect insecure coding patterns, cryptographic misuse, injection flaws, and data leakage risks across your entire codebase.
What you receive
- Full vulnerability report with severity ratings
- Line-level findings with remediation guidance
- OWASP Top 10 coverage
- CWE/CVE mapping for each finding
API Security Assessment
Comprehensive testing of your REST, GraphQL, and SOAP APIs against the OWASP API Security Top 10. We identify authentication weaknesses, broken authorization, rate limiting gaps, and sensitive data exposure.
API Security Assessment
Comprehensive testing of your REST, GraphQL, and SOAP APIs against the OWASP API Security Top 10. We identify authentication weaknesses, broken authorization, rate limiting gaps, and sensitive data exposure.
What you receive
- OWASP API Top 10 coverage
- Authentication and authorization testing
- Data exposure analysis
- Business logic vulnerability assessment
Secure SDLC Enablement
We help your organization embed security throughout the software development lifecycle — from threat modeling in design to automated security gates in CI/CD. Aligned with OWASP SAMM and BSIMM frameworks.
Secure SDLC Enablement
We help your organization embed security throughout the software development lifecycle — from threat modeling in design to automated security gates in CI/CD. Aligned with OWASP SAMM and BSIMM frameworks.
What you receive
- Security maturity assessment
- Threat modeling workshops
- Secure coding standards for your languages
- CI/CD security pipeline setup
Application Architecture Review
Analysis of your system architecture, trust boundaries, data flows, and privilege structure. We identify design-level weaknesses that code-level tools cannot find, per NIST SP 800-53 and threat modeling best practices.
Application Architecture Review
Analysis of your system architecture, trust boundaries, data flows, and privilege structure. We identify design-level weaknesses that code-level tools cannot find, per NIST SP 800-53 and threat modeling best practices.
What you receive
- Architecture threat model
- Trust boundary analysis
- Data flow security review
- Privilege escalation path analysis
Software Composition Analysis (SCA)
Identify known vulnerabilities (CVEs), outdated dependencies, and licensing issues in your third-party components. Critical for organizations subject to supply chain security requirements under EO 14028 and FedRAMP.
Software Composition Analysis (SCA)
Identify known vulnerabilities (CVEs), outdated dependencies, and licensing issues in your third-party components. Critical for organizations subject to supply chain security requirements under EO 14028 and FedRAMP.
What you receive
- Full dependency inventory (SBOM)
- CVE findings with CVSS scores
- License compliance report
- Remediation priority list
Malware & Binary Analysis
Static and dynamic analysis of compiled binaries and application packages to detect tampering, malicious components, or supply chain compromise. Suitable for third-party software vetting and pre-deployment validation.
Malware & Binary Analysis
Static and dynamic analysis of compiled binaries and application packages to detect tampering, malicious components, or supply chain compromise. Suitable for third-party software vetting and pre-deployment validation.
What you receive
- Static binary analysis report
- Dynamic behavior analysis
- Integrity verification
- Suspicious behavior indicators
AI Cybersecurity Services
Security for the AI era: penetration testing of LLM-powered applications against the OWASP Top 10 for LLM Applications (2025), security review of AI-generated code, and readiness assessments for the EU AI Act, Cyber Resilience Act, and ISO/IEC 42001.
AI Cybersecurity Services
Security for the AI era: penetration testing of LLM-powered applications against the OWASP Top 10 for LLM Applications (2025), security review of AI-generated code, and readiness assessments for the EU AI Act, Cyber Resilience Act, and ISO/IEC 42001.
What you receive
- LLM penetration test mapped to the OWASP LLM Top 10 (2025) and MITRE ATLAS
- AI-generated code security review with line-level findings
- EU AI Act, CRA & ISO/IEC 42001 readiness gap report
- Agentic AI and model-integration threat model
Cybersecurity for AI — managed by specialists
AI is now inside your products and your development pipeline — and both are attack surface. Independent 2025 research across 100+ AI models found that roughly 45% of AI-generated code contains known security flaws, and 2026 follow-up testing shows the security pass rate has stalled even as the code gets more fluent. Our AI cybersecurity services secure what your AI writes, what your AI runs, and what regulators now expect you to prove.
AI & LLM Penetration Testing
Attack-driven testing of LLM apps, chatbots, and RAG pipelines against the OWASP Top 10 for LLM Applications (2025): prompt injection, system prompt leakage, improper output handling, excessive agency. Findings mapped to MITRE ATLAS.
Securing AI-Generated Code
Expert review of copilot- and agent-written code, combined with deep static analysis across 60+ languages. AI writes code fast — we make sure it does not ship the injection flaws and hardcoded secrets it is known for.
AI Regulatory Readiness
Gap assessments and documented security-testing evidence for the EU AI Act (Article 15 robustness & cybersecurity), the Cyber Resilience Act, NIS2 secure development duties, and ISO/IEC 42001 — delivered by an ISO 27001-certified team.
Agentic AI & Threat Modeling
Threat modeling for AI agents, tool integrations, and model supply chains: data poisoning, model extraction, tool abuse, and the failure modes unique to autonomous AI workflows.
The regulatory clock is ticking
AI security testing has moved from best practice to legal obligation. Key dates and frameworks we help you get ahead of — in the EU and every other market you sell into.
European Union
- 2 Aug 2026 EU AI Act transparency obligations (Article 50) apply — users must be told they are interacting with AI, and AI-generated content must be marked. The European Commission also gains enforcement powers over general-purpose AI models, with fines up to €15M or 3% of worldwide turnover.
- 11 Sep 2026 Cyber Resilience Act reporting begins: actively exploited vulnerabilities must be reported to your CSIRT and ENISA within 24 hours — finding them before attackers do becomes a legal deadline.
- 2 Dec 2027 High-risk AI system obligations (Annex III) apply — rescheduled from August 2026 by the Digital Omnibus on AI, in force since 27 July 2026. AI embedded in regulated products follows on 2 Aug 2028.
- Penalties EU AI Act fines reach €35M or 7% of worldwide annual turnover; NIS2 already requires secure development and vulnerability handling — the Commission referred four member states to the EU Court of Justice in July 2026 over slow enforcement.
- 7 Jul 2026 The European Commission presented the EU Action Plan on Cybersecurity and AI — including an ENISA-backed platform to security-test AI models in realistic attack scenarios before deployment.
Other Markets
- South Korea The AI Basic Act has been in force since 22 January 2026 — one of the first comprehensive national AI laws after the EU — and applies extraterritorially to foreign companies serving the Korean market.
- United States No federal AI statute — the NIST AI Risk Management Framework and its Generative AI Profile are the de facto compliance bar for enterprise and government buyers.
- United Kingdom The AI Cyber Security Code of Practice became international standard ETSI TS 104 223 — 13 principles and 72 provisions covering the secure AI lifecycle.
- Gulf region DIFC Regulation 10 governs AI systems processing personal data in Dubai, and Saudi Arabia’s SDAIA generative-AI guidelines set the bar for the Kingdom.
- Singapore Launched the world’s first Model AI Governance Framework for Agentic AI in January 2026 — autonomous AI agents are now a named governance concern.
- ISO/IEC 42001 The certifiable AI management system standard, built to pair with ISO 27001 — the certification Offensive360 already operates under.
Not sure which of these apply to you? We map your AI systems to every framework above in one assessment.
Request an AI Security AssessmentHow it works
Every engagement follows a structured process to ensure consistent, high-quality results — from kickoff to remediation.
Scoping call
Define the target, goals, timeline, and access requirements for the assessment.
Assessment
Our team conducts the assessment using both automated tools and manual expert analysis.
Report delivery
You receive a detailed report with findings, severity ratings, and remediation guidance.
Remediation support
We answer questions about findings and verify fixes as part of the engagement.
Frequently asked questions
What is an AI security assessment?
An AI security assessment tests the AI components of your software the way an attacker would: your LLM-powered features are tested against the OWASP Top 10 for LLM Applications (2025) — prompt injection, system prompt leakage, improper output handling, excessive agency — your AI-generated code is reviewed for the vulnerability patterns AI assistants are known to introduce, and your model integrations, agents, and data pipelines are threat-modeled using MITRE ATLAS. You receive severity-rated findings with remediation guidance, the same as any Offensive360 engagement.
Do you help with EU AI Act compliance?
Yes — on the technical security side. The EU AI Act requires high-risk AI systems to be accurate, robust, and cybersecure (Article 15), and enforcement is backed by fines of up to EUR 35 million or 7% of worldwide turnover. Offensive360 provides the security testing and documented evidence that underpins compliance: adversarial testing of AI systems, data-poisoning and robustness checks, and gap assessments against the AI Act, the Cyber Resilience Act, and ISO/IEC 42001. We are a security firm, not a law firm — we deliver the technical testing evidence your compliance and legal teams build on.
Can you test LLM applications for prompt injection?
Yes. Prompt injection is the #1 risk in the OWASP Top 10 for LLM Applications (2025), and it is a standard part of our AI penetration testing scope — along with system prompt leakage, sensitive information disclosure, vector and embedding weaknesses in RAG pipelines, and excessive agency in tool-using AI agents. Findings come with reproduction transcripts and concrete mitigations.
Can AI security assessments run on-premises or air-gapped?
Yes. Like every Offensive360 service, AI security assessments can be delivered fully on-premises or in air-gapped environments — your models, prompts, and code never leave your network. This matters for government, defense, banking, and any team whose AI systems process sensitive data.
Ready to secure your application?
Contact us to discuss your security requirements and get a tailored proposal for your organization.