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As generative AI becomes embedded in enterprise workflows, the surface area for exploitation expands rapidly. Traditional security models cannot account for prompt injection, reasoning manipulation, or LLM-specific memory and role confusion. SISA’s GenAI PenTesting solution delivers full-stack, continuous offensive security for your generative AI deployments-ensuring they remain safe, compliant, and aligned with responsible AI standards.
Why your AI needs PenTesting now:
Uncovering GenAI vulnerabilities
Prompt injection and RAG bypass attacks
Role confusion and jailbreak vectors
Cross-modal exploits and reasoning hijack
Plugin/API misuse and unauthorized data exposure
Inference manipulation and memory leakage
Full-stack GenAI Penetration Testing:
A multi-layer security assessment by SISA
To address the complex and multi-dimensional risks posed by generative AI, SISA’s full-stack Penetration Testing offers a holistic security approach – one that goes far beyond surface-level assessments. Our methodology probes vulnerabilities across every layer of your AI deployment: from model-level alignment and prompt robustness to system integration flaws, plugin misuse, and human-AI interaction risks. This layered testing ensures that your GenAI systems are not only secure but resilient, responsible, and ready for real-world use.
Model layer
- Alignment testing, jailbreak resilience
- ASCII smuggling, token manipulation
- Toxicity and bias detection
Implementation layer
- Prompt hardening, RAG pipeline testing
- Vector DB and plugin security
- Output validation and instruction leakage
System layer
- API authentication, memory/session isolation
- Deployment pipeline and CI/CD security
- Cross-service and supply chain risks
Human & runtime layer
- Real-world operation modeling
- Social engineering and role confusion testing
- Interaction abuse in chat agents and decision support tools
Always-on protection for AI:
SISA’s continuous GenAI PenTesting service
AI risks evolve as models update and users adapt. Our service is designed for continuous threat detection and rapid response. This ensures your AI remains resilient across deployments, use cases, and threat cycles.
Periodic adversarial re-testing post-model update
Alert-triggered dynamic assessments
Integration with observability tools
Live reporting via secure platform access
SISA’s GenAI PenTesting methodology:
Structured, standards-aligned, and outcome-driven
Our systematic PenTesting workflow includes:
Reconnaissance
- Alignment testing, jailbreak resilience
- Identifying implementation fingerprints and surface area
Vulnerability hypothesis
- Targeted test case generation informed by OWASP LLM Top 10, MITRE ATLAS, and Responsible AI frameworks
Automated Adversarial Simulation
- Thousands of fuzzed prompt variants
- Exploit chaining, multilingual and role-based injection attempts
Expert-Led Manual PenTesting
- Focused probing of high-risk areas
- Multi-session and multi-agent exploitation attempts
Risk Scoring & Reporting
- CVSS-based impact modeling customized for LLM systems
- Evidence-driven severity ratings across exploitability, impact, and scope
Remediation Planning & Verification
- Actionable, prioritized mitigation guidance
- Optional retesting after remediation
What SISA tests for in GenAI systems:
Security, performance, and responsible AI risks
Our testing includes, but is not limited to:
Security risks
Security risks - Prompt injection (direct, indirect, chained)
- Model override attempts (system prompt extraction, jailbreaks)
- ASCII/token manipulation, plugin abuse, cross-modal evasion
- Data leakage (PII, proprietary, inferred)
Performance Failures
Performance Failures - Hallucinations and factual drift
- Logical and reasoning inconsistency
- Poor edge-case or adversarial handling
- Instruction misinterpretation
Responsibility Risks
Responsibility Risks - Toxicity and harmful content emergence
- Cultural, demographic, and political bias
- Lack of transparency or uncertainty signaling
- Role confusion and harmful suggestion generation
What you get:
Actionable GenAI PenTesting deliverables from SISA
Executive summary and risk dashboard
Prioritized remediation roadmap
Full CVSS-aligned vulnerability scoring
Detailed findings with evidence & reproduction steps
Optional mitigation verification
Secure portal access to all results
Why choose SISA AI prism
Proprietary exploit libraries and evolving fuzzing frameworks
Full-stack assessment: model to infrastructure
Aligned with OWASP, MITRE, and Responsible AI standards
Blend of automation, tooling, and expert-led testing
Purpose-built adversarial simulation for GenAI
Continuous security and governance integration
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