Identify and Fix AI Vulnerabilities Before They Reach Production
AI applications introduce new attack surfaces that traditional security testing cannot detect. Continuously assess models, agents, prompts, and workflows for vulnerabilities, helping teams uncover risk before attackers do.
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AI Systems Create Risks Traditional Testing Was Never Designed to Find
AI applications behave differently than traditional software. Security teams need purpose-built security assessments to uncover vulnerabilities across models, prompts, agents, tools, and connected systems before they can be exploited in production.
AI Systems Make Autonomous Decisions
Prompt injection, jailbreaks, and adversarial inputs can bypass safeguards and expose sensitive data.
Result
Unpredictable behavior and security risk.
AI Agents Expand the Attack Surface
Agents connect to tools and systems, creating new opportunities for misuse and exploitation.
Result
Unauthorized actions and workflow compromise.
Security Gaps Hide Across Complex AI Workflows
Models, data sources, and integrations can introduce hidden vulnerabilities.
Result
Weaknesses that reach production.
Traditional AppSec Testing Doesn’t Understand AI
Traditional security tools cannot effectively test AI behavior or AI-specific threats.
Result
Critical risks go undetected.
Continuously Test AI Systems for Real-World Threats
AI security testing simulates attacks on models, agents, and applications to uncover vulnerabilities, validate defenses, and strengthen resilience against evolving threats.
Discover AI Vulnerabilities Before Attackers Do
Continuously test AI models and applications against attacks like prompt injection, jailbreaks, adversarial inputs, and unsafe outputs to uncover vulnerabilities before they can be exploited.
- Identify prompt injection and jailbreak vulnerabilities
- Test model resilience against adversarial attacks
- Detect unsafe, toxic, or policy-violating outputs
- Validate security controls before deployment
Evaluate Agent and Workflow Security
Assess AI agent interactions with tools, APIs, and enterprise systems. Simulate attacks to uncover risks such as unauthorized actions, privilege abuse, and workflow compromise.
- Test agent decision-making under attack conditions
- Identify unsafe tool usage and excessive permissions
- Validate controls across agent workflows
- Reduce risk before agents reach production
Continuously Validate AI Security Posture
AI risks evolve as models, prompts, and applications change. Continuous testing helps organizations validate fixes, track security posture, and stay resilient against emerging threats.
- Continuously assess AI applications and agents
- Track risk reduction over time
- Validate remediation effectiveness
- Benchmark security posture against evolving threats
PRODUITS/SOLUTIONS ASSOCIÉS À CHECK POINT
Bring Testing, Visibility, and Protection Together Across the AI Lifecycle
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