Enkrypt AI, Inc
Enkrypt AI provides an enterprise AI security, compliance, and governance platform designed to help organizations adopt generative AI and agentic systems safely. It detects and mitigates threats, enforces real-time guardrails, translates regulation into controls, and provides monitoring and audit evidence.
At a Glance
- Mid-to-large enterprises
- 500+ employee enterprises
- Regulated industries
- Finance and fintech
- +5 more
AI Tools by Enkrypt AI, Inc
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Enkrypt AI
AI Agent Security and Compliance
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Latest News
Enkrypt AI Risk Scores Are Now Live on Kilo Code, showing risk scores on model cards alongside completion rate and cost per attempt.
Published Governing Enterprise AI at Scale Guide on policy-driven red teaming and persistent baselines.
Published Why AI Model Intake Takes Months and How to Fix It, describing automated enterprise model review.
Anaconda announced its acquisition of Enkrypt AI to add model security, agent security, governance, and MCP-server compliance to the Anaconda Platform.
Products & Services
Continuous, use-case-specific adversarial testing for conversation agents, RAG systems, tool/MCP ecosystems, and agent workflows; findings include reproducible inputs and can be promoted into CI regression gates and guardrails.
Real-time, API-first controls that detect and block unsafe behavior, prompt injection, data leakage, policy violations, and other risks across agent and AI interactions.
Converts internal policies and external frameworks such as NIST and the EU AI Act into traceable, enforceable controls and guardrails.
Reviews data before it enters AI systems, including cross-tenant/customer data mixing and other data-layer risks.
Market Position
Enkrypt AI positions itself as a vendor-neutral, cloud-agnostic, full-stack AI security and governance platform rather than a prompt-filter-only product. Its differentiation is the combination of pre-production red teaming, runtime guardrails, policy/compliance enforcement, monitoring, and MCP/toolchain security for agents, models, and multimodal systems; it competes with point solutions in LLM guardrails, AI red teaming, model security, and AI governance.
Leadership
Founders
Sahil Agarwal
Applied mathematician and Yale PhD; his public profile also identifies Oxford and IIT education. He previously served as Chief AI Officer at Accrete AI and co-founded Enkrypt AI as CEO.
Prashanth Harshangi
Yale PhD in Adaptive Systems and AI practitioner; previously worked as a consultant at Vianai Systems. He co-founded Enkrypt AI as CTO.
Executive Team
Sahil Agarwal
Co-founder & CEO
Applied mathematician and Yale PhD; public profiles also identify Oxford and IIT education and prior Chief AI Officer work at Accrete AI.
Prashanth Harshangi
Co-founder & CTO
Yale PhD in Adaptive Systems; previously a consultant at Vianai Systems and works on LLM security, privacy, governance, and red teaming.
Founding Story
The founders started Enkrypt AI in 2022 after seeing enterprises excited about generative AI but hesitant to deploy it because of hallucinations, security, privacy, and regulatory risk. Their initial vision was an enterprise control layer between users and language models that combined visibility, threat detection, privacy, and compliance so organizations could adopt AI responsibly and with confidence.
Business Model
Revenue Model
Paid SaaS/API access to AI security, red-teaming, guardrails, governance, compliance, and MCP security capabilities, with usage represented through credits; Enterprise adds custom allocations and VPC/on-premises deployment.
Pricing Tiers
Free forever; 500 credits to start and 50 credits/month; security guardrails, risk dashboards, full API access, basic red-team testing, community support.
5,000 credits to start and 250 credits/month; adds compliance, custom policy guardrails, MCP server scanning, PII detection/masking, audit logs/data export, and email support.
10,000 credits to start and 1,000 credits/month; adds multimodal red teaming/guardrails, MCP Gateway and Registry, compliance audit reports, SSO, CI/CD release gating, and dedicated Slack/Teams support.
For 500+ employee enterprises and regulated industries; custom allocation, unlimited usage for VPC, RBAC, VPC/on-premises, SIEM/identity integrations, custom retention and SLAs, and optional 24x7 support.
Target Markets
- Mid-to-large enterprises
- 500+ employee enterprises
- Regulated industries
- Finance and fintech
- Healthcare and life sciences
- Insurance
- Securing customer-facing AI and autonomous agents
- Red teaming models, RAG applications, agent workflows, and MCP tools before production
- Runtime protection of AI applications and tool calls
- AI compliance, audit, and policy enforcement
- Third-party AI/model intake and data-risk review
- Secure multimodal applications such as text-to-image advertising and e-commerce workflows
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