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Yorkville Ives initiates SoundHound AI stock coverage at In Line

Yorkville Ives initiates SoundHound AI stock coverage at In Line

Yorkville Ives has started covering Varonis Systems (NASDAQ:VRNS) with an In Line rating and a price target of $50.00, according to Investing.com. The firm sees Varonis as benefiting directly from enterprise AI adoption, but notes the shares are trading on takeover rumors with Proofpoint, owned by Thoma Bravo. The stock is currently trading at $48.55, slightly below the analyst target, after a 111% surge over the past six months.

Varonis specializes in discovering and classifying enterprise data, mapping user and application access, and reducing unnecessary exposure before potential breaches. Traditional security tools protect networks, endpoints, or identities, but overly broad permissions and poor understanding of access can still expose sensitive information.

Varonis' Atlas product integrates data context into the AI environment by identifying AI models and agents, showing sensitive information accessible to them, and applying safeguards. The company's gross profit margin stands at 77%, with revenue growing 16% over the last year. Yorkville Ives highlights Interceptor, an AI-driven email and browser security product, and Database Activity Monitoring, which tracks queries and user access, as valuable additions to a CISO's security platform.

The firm believes the near-term return on investment will depend on the outcome of the potential takeover by Proofpoint, which has been expanding data and AI security through acquisitions. Despite strong recent performance, Varonis' SaaS net new ARR for the second quarter was $31.5 million, below expectations. Some analysts, like Piper Sandler and Needham, have raised price targets, while others, such as Cantor Fitzgerald, have maintained an Overweight rating with a $55 price target, citing strong execution and up-market moves.

Written by urgent.news from Investing.com's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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