Prompt Injection
Attackers inject malicious instructions to bypass logic and policies.
AI Application Security Testing
(AIAST)
Securing the intelligence behind your AI — from data retrieval to decision.Artificial Intelligence is now integral to business-critical systems from chatbots to SOC assistants and decision engines that not only process data but also reason, generate, and act. As traditional SAST and DAST fall short in testing this new layer of intelligence, Entersoft’s AIAST (AI Application Security Testing) emerges as the next evolution in AppSec, purpose-built to secure LLM-powered and RAG-based systems driving modern AI.(AIAST)
What Is AIAST?
AIAST is an umbrella framework developed by Entersoft to extend security testing beyond code and APIs into the AI reasoning layer.
- SAST finds issues in source code.
- DAST scans runtime apps.
- AIAST tests the intelligence layer the retrievers, vector databases, models, and agents that make decisions.
It encompasses two specialized verticals:
Why AIAST Matters
AI introduces an entirely new attack surface
Data Poisoning
Corrupt documents pollute retrieval results and model responses.
Hallucinations
Fabricated information misleads users and business processes.
Sensitive Data Leakage
Hidden PII or training data exposed through outputs.
Agent Abuse
Autonomous AI tools perform unauthorized actions.
Supply Chain Risks
Insecure libraries and models create unvetted dependencies.
AIAST identifies and mitigates all these vulnerabilities bringing structure, repeatability & compliance to AI security.
OWASP LLM Top 10 & AI Governance Alignment
Entersoft’s AIAST methodology maps directly to industry standards including
- OWASP LLM Top 10 & ML Top 10 technical vulnerability coverage
- NIST AI RMF 1.0 risk identification and measurement
- ISO/IEC 42001 (2023) AI Management System controls
- ISO/IEC 23894 (2023) AI risk management guidance
WHY CHOOSE ENTERSOFT AIAST
AI-powered security that thinks ahead
AI DRIVEN SECURITY
Built on 13 years of ethical hacking, AppSec, and SOC experience.
End-to-End Coverage
From model endpoint testing to RAG vector DB validation.
Secure by OWASP
Built on OWASP LLM Top 10 and ML Top 10 foundations.
AI Governance Ready
Mapped to ISO/IEC 42001 and NIST AI RMF 1.0 for enterprise compliance.
AI Threat Library
Continuous threat intelligence from live AI attack simulations.
AIAST Testing Workflow
AIAST Testing Workflow ensures end-to-end security validation across all AI system layers. It systematically analyzes prompts, data retrieval, and model interactions for vulnerabilities. Each stage is tested for integrity, privacy, and resilience against AI-specific threats.
Architecture Review & Threat Modeling
Map AI data flows, trust boundaries, and third-party dependencies.
Attack Surface Discovery
Identify RAG, LLM, and agent interfaces exposed to users or APIs.
Adversarial Testing
Simulate prompt injections, data poisoning, and model abuse.
Vulnerability Validation
Execute controlled attacks and analyze LLM behavior changes.
Remediation & Retesting
Recommend fix steps and validate improvements.
Governance Mapping
Generate evidence aligned with OWASP & ISO standards.
Entersoft Delivering Excellence
Across Industries
Deliverables
- AI Threat Model & Attack Surface Map
- AIAST Findings Report (severity, CVSS score, description, remediation)
- Proof-of-Concept Exploits & Test Harness
- Risk Register & 30-day Remediation Plan
- Compliance Mapping: OWASP + NIST + ISO
- Attestation Pack (for client sharing or audit readiness)
Industries We Serve
- Fintech & Banking AI Agents
- Cybersecurity & SOC Automation Tools
- Healthcare AI Assistants
- EdTech & AI Tutors
- Retail Chatbots & Recommendation Engines
- Government AI Initiatives
