Accel-backed Israeli cybersecurity firm nets $540m series E

Cyera, a cybersecurity firm, has raised US$540 million in a series E funding round, bringing its total funding to over US$1.3 billion.

The round was led by Georgian, Greenoaks, and Lightspeed, with participation from Accel, Cyberstarts, Coatue, Sapphire Ventures, and Sequoia.

The company’s valuation has surged to US$6 billion within six months.

Cyera plans to use the funds to enhance its platform and drive enterprise adoption. It reported 353% year-over-year growth among Fortune 500 customers and expanded operations to over 10 countries.

🔗 Source: Cyera

🧠 Food for thought

1️⃣ Data security funding defies the broader tech investment slowdown

Cyera’s rise to a $6 billion valuation stands out against the backdrop of a generally cautious tech investment environment, highlighting how data security has become an urgent priority for enterprises.

The company captured 18% of the Data Security Posture Management (DSPM) market in 2024, up from just 5% in 2023, demonstrating accelerating adoption in a rapidly growing sector expected to reach $23.68 billion by 2025 1.

This growth isn’t happening in isolation, as AI-focused cybersecurity funding grew 96% year-over-year in 2024, with the broader cybersecurity market seeing 621 funding rounds totaling $14 billion 2.

The surge reflects a shift in enterprise priorities as organizations face escalating challenges from data breaches, compliance penalties, and the complexities introduced by generative AI adoption and data sprawl across environments 3.

Cyera’s focus on automating data discovery, classification, and protection aligns with the market’s evolution toward data-centric security strategies, which is essential as data volumes grow and regulatory requirements become more stringent.

2️⃣ AI creates both the problem and solution for modern data security

The rise of AI technologies has created a dual-edged sword for cybersecurity, introducing new vulnerabilities while also providing tools to combat increasingly sophisticated threats.

Organizations implementing generative AI face expanded attack surfaces as sensitive data proliferates across training datasets, model outputs, and various AI systems, creating new security challenges that traditional cybersecurity tools weren’t designed to address 3.

Security leaders face barriers when implementing AI-driven security solutions, including technical integration challenges, data quality issues, and the complexity of merging with legacy systems 4.