Anaconda, a Python and open-source AI platform company that describes itself as the foundation for AI-native development, acquired Enkrypt AI, a startup that tests and secures enterprise AI models, agents and MCP servers. Anaconda announced the deal on 4 August 2026 from Austin, Texas.
Financial terms were not disclosed. Enkrypt AI becomes part of the Anaconda Platform, and its existing products, plans and support continue unchanged for current users, Anaconda said.
Anaconda said it would share details later of a combined platform for building, orchestrating and securing AI-native systems. The deal followed Anaconda's earlier acquisition of Kilo Code, which took it into the coding environments where developers build agents.
What Enkrypt AI built
Enkrypt AI offers red teaming, runtime guardrails and compliance controls for enterprise AI. Its software looks for security weaknesses in models, agents and the MCP servers that connect agents to tools, and it translates rules such as the NIST AI Risk Management Framework and the EU AI Act into controls that are enforced automatically.
The company describes its technology as vendor-neutral and cloud-agnostic. It is an OpenAI compliance integration partner, giving ChatGPT Enterprise customers audit, compliance and guardrail controls, and Anaconda said similar support for companies using Anthropic models was coming.
Anaconda cited Enkrypt AI research in which the startup scanned more than 268,000 tools across 25,000 MCP servers over two months and found more than 143,000 vulnerabilities, affecting 73% of the servers.
“Trust can't be added after an agent ships, it has to be built into and run on a trusted foundation from day one.”
Why Anaconda is buying
Anaconda chief executive David DeSanto said enterprises were already running AI applications and services with exploitable vulnerabilities and weaknesses. He argued that Enkrypt AI exposes those hidden risks and gives teams the security controls they need to win sign-off from boards, security and legal teams before scaling up.
Anaconda said its customers include more than 1.2 million organisations and 95% of the Fortune 500, among them Visa, American Express, SAP, UBS and Boeing. Adding Enkrypt AI gives that base a security and governance layer for agent systems, from the model to the MCP server, inside Anaconda's own platform.
DeSanto said Enkrypt AI "makes the unknown known". Agarwal, whose company had focused on agents and MCP servers in the months before the sale, said businesses want to cut the security risk in their AI models before it turns into a board-level problem, and that trust has to be built in from the start rather than added after an agent ships.
The founders and the funding
Enkrypt AI was founded in 2022 by Sahil Agarwal, its chief executive, and Prashanth Harshangi, its chief technology officer, both of whom hold PhDs from Yale. It was based in Boston.
In February 2024 the company raised a $2.35 million seed round led by Boldcap, with Berkeley SkyDeck, Kubera VC, Arka VC, Veredas Partners, Builders Fund and angel investors taking part. Its first product at the time, Enkrypt AI Sentry, sat between large language models and end users to add visibility, security and safety controls.
Agarwal said in the acquisition announcement that there was a difference between running AI and running AI safely, and that the company had found a suitable home at Anaconda.
Questions about independence
Not every observer saw the deal as a clear gain for customers. In an analysis published on 4 August, Rajesh Beri argued that a red-teaming vendor's results carry weight partly because it has nothing to sell on the systems it tests, and that Enkrypt AI now belongs to a company that sells an AI development platform. He placed the deal in a wider wave of consolidation in AI security, citing Check Point's purchase of Lakera.
Beri also noted that Anaconda had not announced any pricing changes for Enkrypt AI, but advised customers on its free and $149-a-month self-serve plans to export their test results and audit logs and to seek written commitments on continuity and pricing.
