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How AI can strengthen digital security
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How AI can strengthen digital security

a series of lines converging into a pyramid
a text card that reads: Threat detection: Gmail uses RETVec, a new multilingual neuro-based text processing model, which improved spam detection rates by nearly 40% and reduced false positives by more than 19%.
a text card that reads: Malware analysis: VirusTotal uses AI to review potentially malicious files. Recent research from VirusTotal shows that AI yields 70% better detection rates for malicious scripts and up to 300% improved ability to identify files which exploit vulnerabilities.
A text card that reads: Vulnerability detection: Our Open Source Security team has been leveraging Gemini to improve code coverage of open source projects for our fuzzer, resulting in coverage increases of up to 30% across more than 120 projects, leading to the detection of new vulnerabilities.
A text card that reads: Vulnerability fixing: We harnessed our Gemini model to successfully fix 15% of bugs discovered by our sanitizer tools during testing, resulting in hundreds of bugs patched. We expect this success rate to continually improve and anticipate that LLMs can be used to fix bugs in various languages across the software development lifecycle.
A text card that reads: Incident response: Internally, our Detection & Response teams have begun applying generative AI to generate incident summaries. As a result, our teams are seeing 51% time savings and higher quality results in incident analyst output.

See our report for a detailed roadmap showing how prioritized technical, research, and policy enablers can maximize the advantage for defenders and hinder the attackers.

a graphic that reads "Roadmap for Reversing the Defender's Dilemma"

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