Best AI Security Software
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Compare the Top AI Security Software as of December 2025
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What is AI Security Software?
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 currently available using the table below. This list is updated regularly.
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Aardvark
OpenAI
Aardvark is an autonomous security-research agent powered by GPT-5, designed to act like a human security researcher, continuously analyzing source-code repositories, developing threat models, scanning commits for vulnerabilities, validating exploitability in sandboxed environments, and proposing targeted patches for human review. Unlike traditional tools that rely purely on fuzzing or software-composition analysis, Aardvark uses an LLM-based reasoning pipeline to interpret code behavior and integrate directly into existing developer workflows (e.g., GitHub, code-review pipelines, Codex for patch generation). It supports historical scanning of entire repositories at initial connection, commit-level scanning thereafter, automatic patch generation and verification, and human-auditable annotations for each finding. Early internal benchmarks at OpenAI show detection recall of 92% in repositories seeded with known or synthetic vulnerabilities.
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