AI Assure 360
AI Security Assessment & Assurance Services
Independent, adversarial testing and assurance for the AI agents and applications your business depends on – giving you evidence of how they hold up before an attacker finds out.
Confidence That Your AI Can Withstand Real Attacks
AI agents now handle sensitive data, trigger transactions, and inform decisions that carry real business and regulatory weight. The techniques used to manipulate large language models fall outside what traditional security testing was built to catch. AI Assure 360 closes that gap with structured, evidence-based assessments that measure how your AI behaves under pressure and where it can be exploited.
You Benefit From:
- Independent validation of your AI systems against real attack techniques
- Clear, prioritized findings mapped to recognized frameworks
- Evidence to satisfy auditors, regulators, and system owners
- Remediation guidance your teams can act on immediately
- Assessments led by certified cybersecurity professionals
AI Agent Red Teaming
Adversarial testing that attempts to manipulate and exploit your AI agents and LLM-based applications, using the same techniques a real attacker would
Why AI Agent Red Teaming?
Prompt injection and jailbreak vulnerabilities are unique to LLM-based systems and slip past traditional controls.
Attacks on AI systems are growing in sophistication while security frameworks for AI agents are still maturing.
Regulators increasingly expect organizations to validate the security of their AI.
A manipulated or hallucinating agent can cause direct financial, operational, and reputational harm.
Identifying and fixing weaknesses early prevents far costlier breaches later.
Our Approach
A structured, four-phase engagement aligned with the NIST AI Risk Management Framework, mapping attacker behaviour to MITRE ATLAS.
Planning & Threat Modeling
Map to MITRE ATLAS, identify attack vectors, and establish scope and rules of engagement.
Red Team Assessment
Execute prompt injection, test backend security, assess data leakage, and evaluate authentication controls.
Red Team Assessment
Present findings, demonstrate exploits, discuss detection gaps, and run purple-team knowledge transfer.
Reporting & Remediation
Deliver a technical report and executive summary with a prioritized remediation roadmap and validation support.
What We Test
We probe for the weaknesses most likely to appear in LLM-based systems and the integrations behind them, including:
- System Prompt Injection
- Unrestricted Backend Access
- Training Data Extraction
- Jailbreak via Role-play
- Output Sanitization Failures
- Session Management Issues
- Sensitive Data Leakage
- Content Filtering Bypasses
- Rate Limiting Issues
- Verbose Error Messages
- Missing Security Headers
What You Get
Every engagement ends with clear, actionable reporting written for both technical teams and leadership.
Executive Summary
A business-level view of risk and impact for leadership, risk, and audit stakeholders.
Detailed Technical Findings
Each issue documented with severity ratings, evidence, and reproduction detail.
Testing Narrative
How the engagement unfolded, including the exploits our team demonstrated.
Prioritized Remediation Roadmap
Practical, sequenced recommendations your teams can begin acting on right away.
Validation Support
Help confirming that your fixes hold up once remediation is complete.
Want to see the deliverable? Our sample report shows the executive summary, severity-rated findings, and remediation roadmap you would receive.
Why Choose ISA Cybersecurity for AI Assurance
Adversarial testing backed by over 30 years of experience guiding organizations through major technology change – from on-prem to cloud, and from cybersecurity to AI.
Security-first DNA
Assurance delivered by a team whose foundation is offensive and defensive security.
Real-world Attack Simulation
Engagements that mirror how adversaries actually target AI systems.
NIST AI RMF Aligned
Testing structured around recognized AI risk-management guidance.
Actionable Remediation
Findings paired with clear, prioritized steps to fix them.
Proven Red-team Methodology
Established red-team experience applied to AI-specific threats.
Comprehensive Reporting
Technical depth for engineers and clear summaries for executives.
AI 360 Services & Solutions
Whether you're just starting your AI journey or scaling enterprise-wide automation, ISA Cybersecurity offers services and solutions that will help you meet your goals.
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Safe
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Secure
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Scalable
AI Govern 360
Governance, Risk, and Compliance services designed to help you confidently deploy secure, resilient AI systems that are beneficial, compliant with laws and regulations, and aligned with your organization’s risk tolerance.
AI Assure 360
Comprehensive Assessment and Assurance services – from assessments that identify AI risks to red-teaming exercises that attempt to exploit AI vulnerabilities.
AI Engineering 360
Engineering, optimization, and deployment of AI solutions – from custom agentic workflows with secure data and tool integrations to enterprise AI platform deployments that connect your data sources under a single manageable interface, all tailored to your environment and chosen provider.
AI Detect & Respond 360
Detection and management of AI issues – including hallucinations, bias, prompt injections, and errors – ensuring timely response, effective stakeholder communication, and iterative improvement to minimize risk and enhance performance.
AI Assurance & Red Teaming Rrequently Asked Questions
What is AI Agent Red Teaming?
AI agent red teaming is adversarial testing that attempts to manipulate and exploit your AI agents and LLM-based applications, using the same techniques a real attacker would. The goal is to reveal weaknesses – from prompt injection to data leakage – before they can be abused in production.
How is This Different From a Traditional Penetration Test?
Traditional penetration testing targets networks, applications, and infrastructure. AI red teaming adds AI-specific attacks such as prompt injection, jailbreaks, and training-data extraction that conventional testing does not cover, while still assessing the systems, integrations, and data sources behind the agent.
Which Frameworks Do You Align With?
Engagements are structured around the NIST AI Risk Management Framework, and attacker techniques are mapped to MITRE ATLAS, giving you findings expressed in language your auditors and risk teams already recognize
Will Testing Disrupt Our Production Systems?
Scope and rules of engagement are agreed before any testing begins. Where required, engagements can be run against non-production or staging environments so that assurance never comes at the cost of availability.
What Do We Receive at the End of an Engagement?
You receive an executive summary, detailed technical findings with severity ratings, a testing narrative, and a prioritized remediation roadmap, along with support validating your fixes once they are in place.
