Analysis · Financial Services

Deep Algorithms warns of AI's invisible cyber threats

By Startup Enthusiast · 15 April 2026

What they do

Deep Algorithms is a cybersecurity company that primarily serves the BFSI sector

JP Mishra, founder and CEO, warns that AI attacks are hard to detect because they look like normal text or queries

AI's integration into enterprise workflows is creating new, complex security risks that are harder to defend against

Deep Algorithms, an Indian cybersecurity company, is highlighting the growing risks of AI in the cybersecurity space.
JP Mishra, founder and CEO of Deep Algorithms, warns that AI attacks are becoming more sophisticated and harder to detect.
Unlike traditional cyber threats, AI-based attacks can be embedded in normal text, documents, or queries, making them invisible to both humans and systems.
Mishra explains that AI systems may interpret harmless inputs as commands, leading to unintended actions.
The company emphasizes that AI is not just an interface but is deeply embedded in enterprise workflows and decision-making processes.
New attack vectors are emerging, such as data poisoning, where attackers manipulate training or input data over time to skew AI outputs.
AI infrastructure, including model pipelines, APIs, and orchestration systems, is becoming a viable target for attackers.
Misconfigured access to tools like Google Gemini or poorly secured integrations can expose sensitive enterprise data.
AI agents operating through skills or instruction sets can be tampered with, leading to malicious actions without triggering traditional security alerts.

AI is fundamentally changing the speed and scale of cyber threats, making them faster, more personalized, and easier to scale.
Attackers can now continuously scan systems, identify vulnerabilities, and exploit them without waiting for manual triggers.
This has turned cyberattacks into an always-on process, requiring new approaches like continuous threat exposure management (CTEM).

Deep Algorithms focuses on cybersecurity solutions for the BFSI (Banking, Financial Services, and Insurance) sector.
The company addresses the growing risks of AI in enterprise workflows, decision-making engines, and data pipelines.
Its services aim to detect and mitigate emerging threats such as prompt injection and data poisoning.
Deep Algorithms works to protect against AI-based attacks that are difficult to detect because they resemble normal user inputs.
The company is positioned to help organizations understand and defend against the evolving landscape of AI-driven cyber threats.