Hyderabad-based Deep Algorithms is developing an AI-powered cybersecurity platform designed to protect digital identities, applications, and enterprise systems from increasingly sophisticated cyber threats. Founded by JP Mishra after nearly two decades in artificial intelligence, data science, and advanced analytics, the company is working to build globally competitive cybersecurity products from India. Mishra discussed his journey from working with global organizations to building a deep-tech startup focused on identity security, fraud prevention, and real-time threat detection.
From AI professional to cybersecurity founder
JP Mishra brings more than 18 years of experience in AI, data science, analytics, and consulting. His work with global companies gave him a close understanding of enterprise technology requirements and the quality standards expected in international markets. Mishra said he was inspired by Zoho founder Sridhar Vembu’s approach of building globally relevant products from India. His interactions with IIT Kanpur further encouraged him to pursue entrepreneurship and develop an advanced cybersecurity solution. Deep Algorithms began as a two-member team. It has since grown to around 60 employees, secured 10 patents, and established a presence in the US market, according to Mishra. The company’s name reflects its focus on developing deep, innovative algorithms for complex cybersecurity problems. Rather than competing solely on conventional security tools, Deep Algorithms aims to differentiate itself through behavioral intelligence and continuous identity protection.
Addressing the identity-security gap
One of the central challenges identified by Mishra is the vulnerability of traditional identity-security systems. Passwords and one-time authentication methods can verify a user at the point of entry, but they may not determine whether the same person continues to use the account throughout a digital session. Deep Algorithms addresses this gap through behavioral biometric-based identity security. The technology analyses patterns in user behavior and interactions to identify anomalies that may indicate account compromise, insider threats, bot activity, or unauthorized access. This approach is especially relevant to banks, fintech companies, government institutions, and other enterprises that handle sensitive digital transactions. Deep Algorithms’ product portfolio includes adapID-AI, an adaptive behavioral intelligence engine, and BotShield-AI, which is designed to address automated attacks, denial-of-service threats, and runtime application risks. The company’s focus extends beyond human users. Mishra said Deep Algorithms is also working on security for non-human identities, including machines, software systems, bots, and AI agents.
Winning the first enterprise customers
For Deep Algorithms, one of the biggest early challenges was acquiring its first customers, particularly in the banking sector. Financial institutions operate highly sensitive systems and typically require extensive validation before adopting a new cybersecurity product. Mishra recalled competing against an Israeli cybersecurity company while trying to win the startup’s first customer. A successful product demonstration and live implementation helped Deep Algorithms establish credibility and prove that an Indian startup could deliver enterprise-grade security. According to Mishra, customer confidence came from performance rather than branding alone. Demonstrating how the product could detect unusual behaviour and provide actionable protection helped the company differentiate itself in a competitive market. Deep Algorithms has since worked with organisations across the banking and public sectors. Publicly available information lists Canara Bank, Karnataka Bank, DCB Bank, and the National Capital Region Transport Corporation among its clients or deployments.
Funding focused on research and product development
During its early phase, Deep Algorithms raised approximately ₹1.5 crore, which Mishra said was primarily used to build the team, conduct research, and develop the company’s initial prototypes. Unlike businesses that allocate a large share of early capital to marketing, Deep Algorithms prioritized its core technology. The company invested in AI algorithms, research capabilities, and product development before scaling its commercial operations. The startup later raised ₹10.8 crore in a seed round led by Unicorn India Ventures, with participation from strategic angel investors. The funding was intended to strengthen engineering and threat-intelligence teams, accelerate go-to-market activities in India and Southeast Asia, and expand integrations with enterprise platforms economic times. In April 2026, Deep Algorithms reportedly raised an additional ₹16 crore in a pre-Series A round led by Unicorn India Ventures. The round included participation from SB Investment, Prakash Govindan, and Himanshu Singhal. The company’s fundraising journey included incubation and support from multiple IIT-linked institutions. Mishra said that 22 of the 24 venture capital firms approached by the company showed interest, after which Deep Algorithms selected Unicorn India Ventures as its investment partner.
Preparing for AI-powered attacks
The cybersecurity threat landscape is changing rapidly as cybercriminals begin using artificial intelligence to automate attacks, generate sophisticated scams, and identify vulnerabilities at greater speed. Mishra believes that cybersecurity companies must move from reactive protection to proactive and predictive defense. Deep Algorithms is developing AI systems that can identify suspicious behavior and help detect or diffuse attacks before they cause significant damage. The startup is working across several emerging areas:
- Behavioral identity security for continuous authentication.
- Protection for non-human identities such as machines, bots, and software systems.
- Agentic AI security for systems that operate through autonomous AI agents.
- Fraud prevention for banks and digital financial platforms.
- Runtime application protection and automated threat response.
Its adapID-AI platform is designed to continuously model identity behavior across systems, while Agnetic AI Security focuses on autonomous agent governance, drift detection and workflow security
BotShield-AI focuses on zero-day threat prevention, DDoS mitigation, and runtime application security.
Building from India for the world
Mishra’s long-term ambition is to build a comprehensive identity-security platform that can protect human users, non-human identities, and AI agents in a unified environment. The vision reflects a broader shift in India’s technology ecosystem. Indian startups are increasingly moving beyond services and outsourcing to develop intellectual property-led products for global markets. Deep Algorithms’ patent portfolio, overseas presence, and enterprise focus form part of this product-led strategy. For Mishra, India can compete globally in cybersecurity by combining strong engineering talent with deep research and an understanding of enterprise requirements. “Made in India, made for the world” is the broader direction behind Deep Algorithms’ approach to cybersecurity. As digital financial systems, cloud infrastructure, and AI applications expand, identity security is likely to become an increasingly important layer of enterprise protection. Deep Algorithms is positioning itself at the intersection of these trends, with the goal of making digital interactions more secure, adaptive, and resilient.
What lies ahead?
Deep Algorithms plans to continue investing in AI research, enterprise integrations, threat intelligence, and international expansion. Its future roadmap includes broader protection for agentic AI systems and the development of an identity-security platform capable of responding to evolving cyber risks. Mishra’s journey highlights a familiar challenge for deep-tech founders: building trust in a market where customers demand proven performance, while simultaneously developing complex technology with limited early resources. By focusing on research, product quality, and real-world enterprise deployments, Deep Algorithms is attempting to establish India as a source of advanced cybersecurity innovation—not merely a market for imported security solutions.
Interview By: Sejal Thakur
