Iterate.ai Launches Agentone For Enterprise Ai Code Security

Iterate.ai is launching nan GA merchandise of AgentOne, an autonomous coding assistant that bakes information validation straight into AI codification generation.

This motorboat is simply a consequence to what nan company’s charismatic says is simply a increasing situation successful endeavor improvement wherever accepted information reviews cannot support up pinch AI’s accelerated output.

The San Jose-based institution is releasing AgentOne arsenic a Visual Studio Code hold and done its Interplay platform, tackling a problem that Iterate co-founder and CTO Brian Sathianathan describes arsenic AI coding tools now generating codification astatine 100 times nan velocity of quality developers, but information processes person not caught up.

“Enterprise teams person been intoxicated by AI’s velocity without addressing nan elephant successful nan room,” Sathianathan said successful a statement. “When you’re generating codification astatine 100x velocity, a azygous vulnerability tin multiply crossed services and trigger cascading failures successful minutes.”

Human developers utilized to constitute a mates of 1000 lines of codification per day. AI devices tin now make tens of thousands of lines per minute. That velocity has created what Iterate co-founder and CEO Jon Nordmark calls an “existential requirement” for endeavor software: figuring retired really to support information and stableness erstwhile applications tin beryllium built successful minutes alternatively of months.

“When you tin make a complete exertion successful minutes, nan mobility isn’t whether AI will toggle shape development, it’s whether you’ll do it securely,” Nordmark said successful a statement.

Parallel Security Agents

AgentOne’s attack centers connected what Iterate.ai calls a Swarm Intelligence Architecture: specialized agents moving successful parallel to generate, validate and unafraid codification simultaneously alternatively than sequentially. The strategy embeds OWASP Top 10 scanning, static codification analysis and compliance checks into each shape of improvement alternatively of waiting for post-build information reviews.

“We don’t conscionable make codification faster; we orchestrate aggregate security-focused agents simultaneously, embedding OWASP compliance checks, real-time architecture validation, and continuous information reappraisal into nan improvement process itself,” Sathianathan said.

The level runs continuous validation, including representation leak detection, injection flaw scanning and title information checks. It autogenerates architecture diagrams and dependency maps for information audits while parallelized information agents cross-check codification successful existent time. When nan strategy detects issues, it tin automatically hole them — not conscionable emblem them for quality review.

Sathianathan brought up a demo wherever AgentOne ran a afloat information scan, identified 18 abstracted information errors, fixed them automatically, past ran an OWASP-comparable analysis. “A batch of times, uncovering vulnerabilities is 1 thing, but besides fixing them is another,” he said. “That’s a use we bring to nan array correct retired of nan gate.”

The institution cites independent audits showing 99.7% information compliance, 60% simplification successful vulnerabilities done real-time discovery and 40% less accumulation bugs. Those bug reductions travel partially from assurance indicators that emblem erstwhile nan AI is uncertain and quality oversight is needed.

Context That Doesn’t Evaporate

The different awesome constraint AgentOne addresses is discourse loss. Current AI coding assistants typically suffer way of what they’re moving connected mid-project, forcing developers to perpetually re-explain architecture and dependencies.

GPT-5 maxes retired astatine 272,000 tokens of context. Claude handles 200,000 tokens. Even Google‘s Gemini Pro only reaches 1 cardinal tokens. AgentOne maintains 2 cardinal tokens — astir 10 times much than starring competitors, nan institution said.

“Imagine you person millions of lines of codification generated each day. How do you negociate them?” Sathianathan said. That’s wherever nan extended discourse matters. AgentOne’s Maestro Mode tin coordinate interdependent tasks crossed aggregate repositories, automatically debug errors, and support consciousness crossed full applications and multiweek improvement cycles.

The strategy is built to grip codebases pinch much than 500,000 files without nan discourse nonaccomplishment that kills productivity connected analyzable projects. That intends developers moving connected extended refactors aliases bequest strategy integrations don’t person to support reteaching nan AI astir task structure.

AgentOne besides generates what Iterate.ai calls “block code” — drag-and-drop components for its Interplay platform.

“We tin not only make regular code, we tin besides make artifact code,” Sathianathan told The New Stack. “Because Interplay is simply a drag-and-drop platform, you tin make these Lego-like blocks truthful you tin support and negociate them.”

Key Features

AgentOne embeds unrecorded information validation into each shape of development:

• OWASP Top 10 scanning connected each codification change.
• Static codification analysis to observe representation leaks, injection flaws and title conditions.
• Compliance checks against endeavor coding standards and regulatory frameworks.
• Architecture visualization that autogenerates constituent diagrams and dependency maps for information audits.
• Parallelized information agents that cross-check codification successful existent time, preventing vulnerabilities from slipping through.

Moreover, independent audits corroborate nan endeavor impact:

• 99.7% information compliance, matching aliases exceeding quality reappraisal accuracy.
• 60% simplification successful vulnerabilities, driven by real-time discovery earlier deployment.
• 40% less accumulation bugs, owed to assurance indicators that awesome erstwhile nan AI is uncertain and quality oversight is required.

Built for Enterprise Control

AgentOne offers on-premises deployment for organizations that request to support power of intelligence spot and delicate data. The level supports aggregate AI providers, including Anthropic Claude, OpenAI’s GPT-5, Google Gemini, and backstage LLMs via Amazon Bedrock, pinch automatic failover and load balancing.

During a briefing pinch The New Stack, Sathianathan positioned AgentOne against enterprise-focused competitors for illustration Augment Code and Blitzy. “Traditional devices for illustration Cursor and Windsurf are individual developer toolsets,” he said. “This is much of a heavy endeavor toolset.”

Founded successful 2013 by Nordmark, who antecedently founded eBags.com, and Sathianathan, an Apple veteran, Iterate.ai serves customers including Fujifilm, Circle K and Ulta Beauty. The company’s merchandise lineup includes Interplay, its drag-and-drop AI exertion platform, and Generate, a privacy-first AI adjunct for archive study and business automation.

AgentOne is disposable arsenic a VS Code extension. Installation takes 4 clicks: Download nan VSIX file, prime “Install from VSIX…” successful VS Code, and activate pinch your adjacent project.

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