AI Application Security (SAST/SCA/DAST)
Scan your code, open-source dependencies, and APIs for vulnerabilities before they ship — automatically, on every build. These AppSec tools fit into your existing developer workflow so security checks happen during development, not as a surprise after deployment.
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AI Application Security Tools (SAST, SCA & DAST)
Application security tools scan source code, third-party libraries, and running applications for known vulnerabilities. The "shift-left" idea here is simple: finding a security flaw during development costs far less to fix than finding it after deployment, or worse, after a breach.
The three main types
- SAST (Static Analysis) — scans code before it runs, looking for patterns that indicate common vulnerabilities like SQL injection or hard-coded credentials.
- SCA (Software Composition Analysis) — checks your open-source dependencies against known vulnerability databases.
- DAST (Dynamic Analysis) — tests a running application by simulating attacks from the outside.
What AI adds to traditional scanning
Traditional scanners produce a lot of noise — false positives that waste developer time. AI-powered tools get better at filtering to what's actually exploitable in your specific codebase, which makes developers more likely to actually act on the findings instead of tuning out the alerts.
Also explore in AI Cybersecurity Tools
AI Cloud Security (CNAPP/CSPM)
Find misconfigured cloud resources, overly permissive IAM policies, and exposed workloads before attackers do. These CNAPP and CSPM tools scan your AWS, Azure, or GCP environment continuously and prioritize the risks that are actually exploitable, not just technically non-compliant.
AI Endpoint Detection & Response (EDR/XDR)
Detect and stop malware, ransomware, and fileless attacks on laptops, servers, and cloud workloads in real time — not after the damage is done. These platforms use AI to spot behavior that looks like an attack even when the specific threat is brand new.
AI Model & LLM Security
Protect your AI applications, LLM integrations, and deployed models from prompt injection, data leakage, and model-specific attacks. As more teams build on top of LLMs, these tools add the security layer that general-purpose security scanners weren't designed for.
AI Phishing & Email Security
Stop phishing emails, business email compromise attempts, and malicious attachments from reaching employee inboxes. These AI-powered email security platforms learn what normal communication looks like for your organization and flag anything that doesn't fit, including attacks that have never been seen before.
AI Threat Detection & SIEM
Collect security events from across your environment, correlate them automatically, and surface the alerts that actually matter — without burying your team in noise. These AI-powered SIEM platforms help security teams detect real attacks faster and spend less time on false positives.