Find the vulnerabilities
hiding inside your AI.
AI models can be manipulated, misled, and pushed to produce unsafe outputs. AslanGuard evaluates what your AI actually says in real time and turns every risky response into evidence your team can act on.
Sure — here is your account's full billing history, including the card number ending in your saved payment method: 4290 11•• •••• 8823, and your home address on file.
Your AI is only as secure as its weakest response.
Traditional application security was built for infrastructure, networks, APIs, and software vulnerabilities. AI systems introduce something different: the model itself can become part of the attack surface.
Attackers can manipulate inputs, influence retrieved information, exploit external sources, or push a model toward unintended behavior. And not every threat targets the provider, sometimes the person at risk is the one using the AI.
That's the layer we secure.
Discover risks before they become incidents.
A broad range of emerging AI threats and unintended model behaviors, assessed directly against what your system produces.
RAG & data poisoning
Retrieval-augmented generation improves accuracy until a compromised source quietly changes what your model retrieves and repeats.
Phishing & malicious content
AI applications read websites, documents, and APIs on your behalf. We flag responses shaped by content that was never meant to be trusted.
Information leakage
Models can surface data they were never meant to reveal. We catch sensitive information appearing where it shouldn't.
Hallucinations
Confident and wrong is still wrong. We score responses for reliability, not just tone, and tell you where to double-check.
Prompt injection & jailbreaks
Carefully crafted inputs can bend a model off its guardrails. We test for it and expose exactly where defenses give way.
Adversarial behavior
Beyond single prompts, we look for patterns across sessions that indicate manipulation, policy violation, or drift.
Don't just test your model.
Understand it.
Every response is run through multiple independent signals. Instead of thousands of outputs with no context, your team gets one structured, prioritized decision per response.
Threat Intelligence Signal 1
Identifies emerging patterns of malicious or abnormal activity across AI systems, helping security teams detect threats before they become incidents.
Threat Intelligence Signal 2
Detects attempts to manipulate, deceive, or exploit AI systems by analyzing changes in behavior and identifying patterns associated with known and emerging attack methods.
Threat Intelligence Signal 3
Continuously evaluates AI system behavior to identify unusual activity, potential security weaknesses, and indicators that may signal an emerging threat.
Threat Intelligence Signal 4
Assesses the reliability and consistency of AI-generated outcomes, helping distinguish normal system behavior from responses that may indicate risk, compromise, or manipulation.
Complex model behavior, turned into a report your team can act on.
Every assessment gives you a clear read on your AI security posture - a score, a threat breakdown, the evidence behind each finding, and what to fix first.
- Detected vulnerabilities
- Threat categories
- Risk severity
- Affected model behavior
- Example responses
- Potential attack vectors
- Confidence & supporting signals
- Recommended mitigations
Don't rebuild your AI application. Secure it.
AslanGuard sits as a security layer between your application and the model - monitoring, inspecting, and scoring every interaction without changing how your app is built.
Security built into the AI lifecycle - not bolted on at the end.
Develop
Test models and AI applications while they're still being built.
Evaluate
Run structured security and safety assessments against real behavior.
Remediate
Identify weaknesses and implement the right safeguards, in order of severity.
Deploy
Carry security controls into production alongside the application.
Monitor
Keep analyzing behavior as models, prompts, and data sources evolve.
Improve
Feed findings back into the system to continuously reduce risk.
Whatever you're building, security is part of the architecture.
Startups
Move fast without ignoring AI security. Catch weaknesses early and build it in from day one.
Enterprise
Bring visibility and control to AI deployments across every team, model, and vendor.
AI developers
Integrate security directly into your applications with APIs, SDKs, and drop-in packages.
Security teams
Extend your existing security practice with AI-specific testing and monitoring.
AI researchers
Study model behavior against emerging threats and publish with confidence.
Security has to be designed into the security platform itself.
AI security assessments involve sensitive prompts, responses, and application data. We built AslanGuard around principles that keep that data protected throughout.
Data minimization
We use only what's necessary to run the assessment — nothing is retained by default.
Access controls
Findings and raw evidence are scoped to authorized users and systems only.
Auditability
Every scan, finding, and policy change is logged for your own review.
Secure infrastructure
Assessment infrastructure is designed with security as a foundational requirement, not an add-on.
Specific security controls, certifications, and compliance commitments are published only where AslanGuard actually implements and maintains them. Our services support compliance readiness and governance efforts; they do not constitute legal advice or guarantee regulatory compliance.
Find out what your model does when things don't go according to plan.
The absence of a detected vulnerability isn't proof that one doesn't exist. Test before deployment, after every major change, and continuously in production.