Cybersecurity will continue to be volatile- Shomiron Das Gupta, DNIF HYPERCLOUD

CXOToday has engaged in an exclusive interview with Mr. Shomiron Das Gupta, Founder of DNIF HYPERCLOUD

1. When was DNIF founded? Mention its objectives, goal and key offerings.

DNIF was founded      in April      2016 by Shomiron Das Gupta.

DNIF HYPERCLOUD is a cloud SIEM with inbuilt UEBA and automation capabilities. It is a cloud-native platform that allows scalability, operational efficiency, and visibility at lesser costs through advanced automation, resulting in faster detection of threats and outliers.

The platform can ingest data from all sources, has extensive integrations built-in and has 100+ extractors written for customer data. It can help organizations:

1. Uncover threat campaigns with a causality chain for potential cyberattack signals
2. Threat hunt in real-time and weed out known bad actors and address vulnerabilities immediately
3. Identify compromised users using inbuilt machine learning to design a quick POA
4. Monitor and analyse log data from various sources for increased log coverage using efficient storage and compute

DNIF HYPERCLOUD is recognized as a leading SIEM in India and the USA. We plan to expand our footprint and are already working on some exciting partnership opportunities with a few global organizations.

2. How much has cybersecurity technology evolved and changed over the decades? Do you think that it has become more challenging and dynamic than before?

Cybersecurity was always       challenging.      Initially, the challenge was in recognizing the significance of cybersecurity as a segment; it took around 10 years for an understanding to develop that the space needs to be given a separate spot, so we could start focusing on and specializing in that arena.

But now, of course, the challenge has escalated to a different scale, as we’ve invested in technology and gotten better at cyber defence. At the same time, attackers and hackers have also  evolved and gone to the next level. One of the challenges now is to accelerate the detection and prevention of attacks. The bigger challenge, however, is that attackers are still leading the path for us in terms of threats and attacks.

So, I think the challenges were always there; it’s just that the dimension of the challenges has changed over the decades.

3. Any major predictions about the cybersecurity industry with regards to foreseeable challenges and opportunities?

In  2023, the cybersecurity space will continue to be volatile and dynamic. The combination of attacks and       threats are going to evolve      and that will leave us with a much larger set of situations to work upon     .

Also,      cloud is going to be one of the key areas to work with this year. There has been a lot of conversation about the cloud in the past few years, and 2022 has actually seen significant cloud adoption. This adds one more layer of risk, as we may see a lot of cloud-based threats going forward.

4. For enterprises transitioning to cloud operation and business adoption, how can DNIF help them gain a cloud-powered competitive edge and drive the digital shift?

Cloud provides a huge benefit of scalability and cost-efficiency. DNIF HYPERCLOUD    easily scales up to meet increasing needs of the organization. This is especially useful for organizations that experience fluctuations in their security needs, such as during peak seasons or major events. Another major advantage of a cloud-native SIEM is its cost-saving potential. Because it is hosted in the cloud, organizations can avoid the upfront costs of purchasing and maintaining on-premises hardware and software. DNIF HYPERCLOUD has gone ahead further and achieved upto 90% compression level. This enables organizations to not compromise threat detection capabilities for cost. The platform is built and developed based on continuous feedback from customers and has matured in the past 4 years.

5. How does DNIF use artificial intelligence & machine learning capabilities to improve efficiency?

Machine Learning and Artificial Intelligence have become buzzwords in the cyber security industry, for the right reasons. If used with precision, AI and ML models can improve an organization’s security posture multi fold. DNIF HYPERCLOUD has achieved just that.

DNIF HYPERCLOUD uses machine learning to combat probably the most acute pain point of organizations’ SOC – Alert Fatigue. The machine learning model, along with graph analytics combines 100s of threat signals and binds them in a few clusters, called Connected Signals. This gives the analysts a compozit picture of the threat campaign – so the analysts don’t have to work on 20-30 independent signals but just 1 or 2 clusters of threats.

DNIF HYPERCLOUD provides an automation experience with security analytics and security automation. Multiple third party endpoints can be integrated with existing applications. So the automations are essentially with third party applications that will allow organizations to create connections and ingest activity and enrichment data from antivirus tools, DLP, IAM tools, web proxy, third-party intelligence and more to support the out-of-the-box and custom use cases in your environment.

6. What makes DNIF HYPERCLOUD stand out?

DNIF HYPERCLOUD offers three distinctive benefits- a simple platform, cost-effective rates, and real- time visibility into the trouble geography. Some of our USPs are Cost Effectiveness at scale a large dataset means visibility pretensions get limited by budget. SIEM is precious. We have reinvented event storehouse for analytics and cybersecurity and offer 365 day’s hot storehouse at the price of 30 days.

Ease of on boarding – SIEM is extremely delicate and lengthy to apply. It can take weeks or months to complete the on boarding process. DNIF has a bus- discovery machine that doesn’t bear configuration for different bias. Just point logs to DNIF and forget about it. The automatic identification of log format and source type takes care of the on boarding.

Reduced alert fatigue and critic’s headcount – We use connected signals to reduce 300 pitfalls into 6 to 8 trouble clusters or crusade visualizations. This decreases the needed headcount for discovery and reduces judges’ alert fatigue too.