Best AI Security Software for TypeScript
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Compare the Top AI Security Software that integrates with TypeScript as of July 2026
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This a list of AI Security software that integrates with TypeScript. Use the filters on the left to add additional filters for products that have integrations with TypeScript. View the products that work with TypeScript in the table below.
What is AI Security Software for TypeScript?
AI security software is a technology that uses artificial intelligence (AI) to protect online systems from malicious attacks. AI security software can also ensure that companies are using AI software and generative AI tools safely. It can detect potential threats and blocks them before they cause damage. AI security software provides additional protection beyond traditional methods such as firewalls, antivirus, and intrusion detection systems. AI security software can be used to protect not only corporate networks but also individual computers from cyberattacks. The AI algorithms use machine learning techniques to learn about the changing patterns of malicious behavior in order to identify new threats more quickly and accurately. It also has the ability to adapt its responses over time, making it a powerful tool for combating ever-evolving cyber threats. Many companies now deploy AI security software as part of their comprehensive cybersecurity strategy. Compare and read user reviews of the best AI Security software for TypeScript currently available using the table below. This list is updated regularly.
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ZeroPath
ZeroPath
ZeroPath (YC S24) is an AI-native application security platform that delivers comprehensive code protection beyond traditional SAST. Founded by security engineers from Tesla and Google, ZeroPath combines large language models with advanced program analysis to find and automatically fix vulnerabilities. ZeroPath provides complete security coverage: 1. AI-powered SAST for business logic flaws & broken authentication 2. SCA with reachability analysis 3. Secrets detection and validation 4. Infrastructure as Code 5. Automated patch generation. any more... ZeroPath delivers 2x more real vulnerabilities with 75% fewer false positives. Our research team has been successful in finding vulns like critical account takeover in better-auth (CVE-2025-61928, 300k+ weekly downloads), identifying 170+ verified bugs in curl, and discovering 0-days in production systems at Netflix, Hulu, and Salesforce. Trusted by 750+ companies and performing 200k+ code scans monthly.Starting Price: Free -
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Backslash Security
Backslash
The software development lifecycle has fundamentally changed. Developers across engineering organizations are using AI coding tools — GitHub Copilot, Cursor, Windsurf, Claude Code, Gemini CLI — at scale. The security controls built for traditional development were not designed for this environment. Backslash Security addresses this gap directly. The platform gives security teams visibility into AI coding tool usage, the code being generated, MCP server connections made by AI agents, and the risk introduced before it reaches production. Core capabilities: AI coding tool inventory and policy enforcement MCP server visibility and access control Vibe coding security — risk detection in AI-generated code Continuous monitoring without disrupting engineering workflows Purpose-built for AI-native development — not a legacy scanner repositioned for a new market. For security leaders governing an environment they didn't design, Backslash provides the visibility and control you need. -
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Simaril
Simaril
Silmaril is a self-healing prompt injection defense designed to protect AI systems from increasingly complex, multi-step attacks that traditional guardrails fail to stop. It operates by wrapping inference calls and evaluating whether an execution sequence is leading toward a harmful outcome, rather than simply filtering inputs. It uses a multihead classifier that analyzes user intent, application context, and execution states together, enabling it to detect indirect injection, multi-turn attack chains, context poisoning, and tool abuse before damage occurs. Silmaril continuously strengthens its defenses through autonomous threat hunting agents that probe systems, discover vulnerabilities, and generate synthetic training data from real attack scenarios. These insights are used to retrain the model automatically, deploying updated protections in under an hour and propagating anonymized defenses across all deployments.
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