Avasant Speaks at Digital Convergence Conference (DCC) 2019 Avasant Speaks at IAOP’s GOV19: Governance in the Digital Era
“Strategic focus around multi-cloud environment, IoT and mobile security. Integrates its IP in AI/ML with partner’s tools to provide robust SOAR.”
- Zensar is actively engaged in building its capabilities in 3 areas: multi-cloud environment security, IoT security, and mobile security.
- It is also focused on developing services around Governance, Risk and Compliance.
- It has flexible pricing models, some of which were introduced in the last 12 months: Catalog-Based, Gain Sharing/Pain Sharing, Incentive-Based, Risk-Reward, Hybrid, and Consumption-Based.
- Majority of its customers are from the BFSI and government sectors. However, cybersecurity IoT customers are primarily from manufacturing.
- Its partner engagement strategy is to gain competency and experience in niche workloads defined by its partners. It wants to become a high-touch partner and receive live training, customized communications, deployment support and frequent two-way engagement.
- It uses partner relationships for various programs and strategies to expand into new territories.
- Zensar has a strong partnership ecosystem with leading technology vendors such as IBM QRadar (for SIEM solution), Symantec (joint GTM), RSA (for secure login), CA Technologies (leverages CA Identity manager for IdAM solution) and ServiceNow (for IT service management tool).
- As a Global Partner of Cisco, it leverages Cisco security products to deliver effective cyber security and incident response service.
- Currently, it is not focused on developing new in-house cyber security platforms. Instead, it leverages partner’s tools and technologies, industry standard tools and frameworks, and integrates them in its own IP in AI/ML to provide a robust SOAR platform. It plans to invest 25% of its revenue to this.
Investments and Innovation
- Majority of its investment plans are around practice growth and asset development. It has plans to develop lot of AI/ML into Zensar’s proprietary platform related to IAM. It also has plans to implement Watson to enhance its platforms with cognitive capabilities.
- It is also investing in more data science expertise, including natural language processing and machine learning, to improve its SOC operations ability to process structured and unstructured data into actionable intelligence.
- It also has plans to significantly ramp up its headcount into multiple cybersecurity domains as well as explore new emerging technologies.
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