Fuel iX™ Fortify
Identify and resolve your chatbot security gaps
Automated red teaming pinpoints AI vulnerabilities in hours, not weeks. No AI safety or security expertise required.
- Up to 97% slash in testing time
- Up to 30% reduction in testing costs
- 30 minutes or less to onboard non-experts
Fortify identifies GenAI vulnerabilities before they do damage
Deploy GenAI with confidence through comprehensive security testing.
Get comprehensive coverage in hours
Execute thousands of novel red team simulations in hours, not weeks. Comprehensive safety testing without additional headcount.
Test what matters to your business
Choose from pre-defined testing plans or design your own. Generate dynamic attacks specific to your application's domain and industry.
Prove your AI is safe & secure
Stay ahead of evolving threats and regulations. Build stakeholder trust with verifiable AI safety and security coverage.
Enterprise-grade security testing features
AI safety and security first. Fortify secures GenAI against adversarial attacks and prompt injections with automated red teaming. Protect your reputation and ensure global compliance through one intuitive dashboard. Eliminate vulnerabilities before they become threats.
- Automated AI red teaming
Run use case-specific and industry-standard attacks in hours. Built for security and non-security experts with simple integration options to get started fast.
- Vulnerability detection & classification
Automatically identify risks and severity levels. Includes Human-AI review to validate findings and ensure high-fidelity results.
- Vulnerability mapping & remediation
Align risks with OWASP, NIST and MITRE standards. Receive detailed reports to remediate vulnerabilities and ensure compliance. Additional remediation services available.
- Advanced, novel attack generation
Generate research-backed, single- and multi-turn attacks tailored to your objectives. Replay attacks to compare responses and track improvements over time.
- Flexible testing
Select pre-configured plans, tailor objectives to specific vulnerabilities, and build a custom library of gold-standard and regression-proofing attacks.
- Detailed reporting & analytics
Gain actionable insights via a comprehensive dashboard and exportable reports. Track security posture, manage access and validate safety through one continuous testing and monitoring lens.
Explore our success stories
Island Health enhances security and compliance of its public-facing digital careers AI chatbot
See how we helped Island Health ensure their career advisor chatbot, Shay, met compliance and brand safety standards through automated safety and security testing.
- 97% Reduction in testing time
In healthcare, trust is everything. The last thing our organization wants is a headline in the news about ‘Island Health’s new careers chatbot hallucinates medical advice.’ We wanted to ensure we got it right...our new chatbot isn't just about innovation, it's also about preserving our reputation and the people we are here to serve.
Video
Uncharted: Nine expert sessions on AI safety & security
Get safety benchmarks across 34 leading AI models, live purple teaming tactics and governance frameworks your team can act on — straight from the CISOs, researchers and trust & safety leaders doing it in production.
Fortify is based on cutting-edge applied AI research
Prompt Optimization and Evaluation for LLM Automated Red Teaming
Frequently asked questions
- What is AI red teaming?
AI red teaming is an offensive AI safety and security discipline that proactively simulates adversarial attacks against an AI system to identify vulnerabilities before they cause harm. Unlike traditional security testing at fixed checkpoints, AI red teaming is most effective when run continuously across the development lifecycle. Fuel iX Fortify automates this at scale, mapping findings to OWASP, NIST AI RMF, and MITRE ATLAS.
- What is the difference between manual and automated AI red teaming?
Manual and automated AI red teaming are complementary, not substitutes. Manual testing uses human experts to uncover creative, context-specific vulnerabilities. Automated testing runs thousands of attack simulations in hours, making continuous coverage at enterprise scale possible. Fuel iX Fortify is the automation layer that lets manual testing focus where it matters most: validating critical findings and applying domain expertise.
- What types of vulnerabilities can AI red teaming detect?
AI red teaming detects vulnerabilities across two broad domains: security risks and safety and brand risks. Security vulnerabilities include prompt injection, data leakage, system prompt exfiltration and infrastructure exploits. Safety and brand risks cover harmful content, discrimination, misinformation, unauthorized advice and outputs that violate compliance boundaries. Fuel iX Fortify addresses both domains through 150+ attack objectives mapped across 15 granular risk categories, aligned to frameworks including OWASP, NIST AI RMF, and MITRE ATLAS.
- How does prompt injection put enterprise AI applications at risk?
Prompt injection is an attack where malicious input overrides an AI application's system instructions, causing it to behave in unintended ways. Consequences include data exposure, bypassed guardrails, harmful outputs and in agentic systems, unauthorized actions. Fuel iX Fortify tests for prompt injection as part of its standard attack library, mapped to OWASP LLM01.
- How often should enterprises red team their AI applications?
Leading enterprises treat AI red teaming as a continuous, not a pre-launch, checkpoint. GenAI behavior shifts over time, and new attack methods emerge constantly. Testing should happen before any production launch and be re-triggered by changes to the model, system prompt, knowledge base, integrations or architecture. Fuel iX Fortify supports pre-launch validation and continuous automated coverage across the development lifecycle.
- How long does it take to red team an AI application?
Manual red teaming typically takes several weeks and forces teams to be selective about what they test. Automated red teaming compresses the timeline by up to 97%, replacing selectivity with comprehensive coverage. Fuel iX Fortify has completed pre-launch assessments in under 24 hours, with some engagements running 10,000+ attack simulations in under eight days, making both comprehensive and continuous testing practical at enterprise scale.
- Which industries need AI security testing the most?
AI security testing matters most where sensitive data, regulatory pressure and public trust intersect: healthcare, financial services, public sector, telecommunications and retail. In these industries, a vulnerable AI application can harm real users and customers, trigger regulatory penalties, enable fraud or damage brand reputation. These risks compound in agentic systems, where AI can take actions on a user's behalf, turning unsafe outputs into unauthorized actions. Any AI handling sensitive data or operating at scale warrants testing, and Fuel iX Fortify is built for the rigor these high-stakes environments demand.
- How does Fortify fit into an enterprise AI security program?
Fuel iX Fortify is the testing, monitoring and validation layer of an enterprise AI security program. It addresses what traditional AppSec tools miss: whether the AI itself can be manipulated into producing harmful, non-compliant or unintended outputs. Award-winning and trusted by leading model providers and technology companies, Fortify combines research-backed attack generation with severity classification and framework mapping to OWASP, NIST AI RMF and MITRE ATLAS.