Prove’s Mary Ann Miller Featured in TechRepublic Panel About Addressing Cyberattacks With AI
Legacy security measures, while essential, have limitations due to their reactive nature and reliance on predefined signatures. They struggle to adapt to the evolving threat landscape and the massive amounts of data generated by modern IT systems.
Artificial intelligence (AI) offers a solution to these challenges. It can proactively identify threats, learn from patterns, and scale to handle large volumes of data. A new TechRepublic feature explores how AI is transforming cybersecurity, with insights from industry experts Mary Ann Miller (Fraud & Cybercrime Executive Advisor and VP of Client Experience), and Amit Patel, senior vice president at Consulting Solutions.
This report provides valuable guidance for businesses seeking to enhance their security posture. It highlights analysis from Bain that reveals a significant trend: the early adoption of generative AI is concentrated in threat identification, the initial stage of incident response. While AI excels at identifying threats, its potential extends beyond this stage.
According to Miller and Patel, the true power of AI in cybersecurity lies in proactive threat hunting. AI tools can autonomously generate threat detection queries, sift through vast amounts of data, and pinpoint potential threats without manual intervention. This capability eliminates the need for time-consuming manual SQL queries.
In the TechRepublic piece, Miller and Patel explain how AI acts as a hypothesis augmentation platform, refining analysts' intuition into structured threat predictions. For instance, if an analyst suspects lateral movement, AI can analyze incident and network traffic logs, filtering for specific protocols and connections, without requiring manual query writing. This streamlines threat investigation and enhances security teams' effectiveness.
Read the TechRepublic article to learn more.
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Prove's Developer Portal helps businesses balance strong security with a smooth user experience by providing developers with the tools they need to easily integrate identity verification into their applications, leading to streamlined onboarding and reduced fraud.
This blog explains the importance of identity verification APIs for secure and compliant applications, but also warns about common pitfalls in their implementation. It aims to guide developers on how to avoid these mistakes to ensure effective identity verification, improve user experience, and build trust in their digital platforms. The blog will delve into five specific mistakes and provide solutions, ultimately helping developers save time, reduce risks, and achieve better results.
With cyber threats on the rise, robust identity verification is crucial, but it needs to be balanced with a smooth user experience. Prove offers a solution that achieves both, using phone numbers for quick and accurate identity verification without added friction. This allows businesses to build trust and ensure security while offering a seamless user experience.
