February 12, 2026 — A critical security flaw in the viral AI assistant OpenClaw has sparked a race to build safer alternatives, with Near.AI co-founder Illia Polosukhin announcing IronClaw, a Rust-based version designed to eliminate private key leaks. Simultaneously, Olas has launched specialized AI trading bots for the prediction market platform Polymarket, signaling a rapid shift toward autonomous AI agents in cryptocurrency trading. These parallel developments, emerging from global tech hubs this week, highlight both the explosive adoption and inherent security dangers of advanced AI tools interacting directly with financial systems and personal data.
IronClaw: A Security-First Overhaul of OpenClaw
Near.AI’s Illia Polosukhin initiated the IronClaw project in direct response to mounting security incidents involving OpenClaw. “People are losing their funds and credentials using OpenClaw,” Polosukhin stated this week. “A number of people have stopped using it as they’re afraid it will leak all of their information.” The core vulnerability stems from OpenClaw’s architecture, which grants the large language model direct access to sensitive data like private keys and terminal commands. Polosukhin’s solution, built reportedly in a single evening while multitasking, re-engineers the system in Rust, a programming language celebrated for memory safety. More crucially, IronClaw implements a sandboxed design where each tool runs in an isolated WebAssembly environment. This containment strategy ensures a compromised component cannot infect the entire system.
George Xian Zeng, General Manager of Near.AI, provided context on the development pace. “He built the basis of it in one evening,” Zeng explained. “He was feeding his baby and building IronClaw at the same time.” The technical cornerstone is a segregated secret management system. Instead of allowing the AI model to handle credentials directly, IronClaw stores them in an encrypted vault. The language model receives only permission tokens for specific, pre-approved actions, fundamentally adopting a “zero-trust” model for AI agents. Polosukhin has made 74 GitHub commits in the past week, with Zeng expecting a public release on Near.AI within weeks.
The Inherent Risks of OpenClaw’s Powerful Design
OpenClaw, originally named Clawdbot, achieved viral status precisely because of its powerful, integrated functionality. The system acts as a harness controlling multiple agents and tools, maintaining conversation memory across platforms like Telegram and Slack, and executing actions on a user’s computer and browser. However, this deep system integration creates a massive attack surface. Granting an AI agent terminal access alongside cryptocurrency wallet credentials presents what security experts describe as an “exploit waiting to happen.” The use of JavaScript, a language with a broad and well-understood attack surface, exacerbates the risk. Furthermore, the ecosystem’s ClawHub skill marketplace introduces another vector. A report this week from blockchain security firm Slowmist identified 341 available skills containing malicious code designed to harvest passwords or data.
- Credential Theft: The AI can be tricked via prompt injection into revealing stored private keys.
- Skill Marketplace Risk: Downloaded skills from unvetted sources can contain hidden malware.
- System-Level Access: Terminal and browser control allows a rogue agent to execute devastating commands.
Expert Analysis on the AI Agent Security Paradigm
David Minarsch, co-founder of Olas and CEO of Valory, whose company focuses on secure, autonomous AI agents, emphasized the architectural philosophy required for safety. “That’s a key architectural design decision, which really restricts the capability of the agent,” Minarsch said, discussing Olas’s approach. “So, our fully structured agent won’t suddenly become your personal assistant. But it also means it’s safer.” This reflects a growing industry consensus: for AI to handle valuable assets, its capabilities must be deliberately constrained and its access to critical functions hardcoded, not learned. The security community is now treating prompt injections not as mere bugs, but as critical security risks on par with SQL injection or buffer overflow attacks.
Olas Unleashes AI Traders on Polymarket
In a related development, Olas has launched Polystrat, a rebranded version of its Omenstrat prediction market agent, now optimized for Polymarket. This move capitalizes on a growing trend of traders using AI to identify arbitrage opportunities and market inefficiencies on prediction platforms. Unlike agents designed for arbitrage, Polystrat agents analyze a range of news sources and public data to predict outcomes in markets that resolve within four days. According to performance data shared from its operations on the smaller Omen platform, these agents have achieved a 55% to 65% success rate over long time horizons, accounting for 13 million transactions. However, performance varies significantly by category, from 63.6% in science to as low as 37.96% in fashion and arts.
| Market Category | Agent Win Rate (Omen Data) | Transaction Volume Insight |
|---|---|---|
| Science & Business | 59.2% – 63.6% | Strong performance on data-driven outcomes |
| Fashion, Arts & Social | 37.96% – 48.57% | Poor performance on subjective or trend-based markets |
| Sports | ~51.01% | Effectively random, no edge over chance |
The Broader 2026 AI Landscape: Surveillance, Hype, and Automation
The IronClaw and Olas announcements occur within a feverish period for AI commercialization and public concern. Amazon faced immediate privacy backlash after a Super Bowl ad for its Ring doorbell’s “Search Party” AI feature, which critics warned could enable neighborhood-wide surveillance. The Super Bowl itself was dominated by ads from 16 different tech companies promoting AI products, leading to industry speculation about a potential market bubble, reminiscent of the dot-com ads in 2000 and crypto ads in 2022. Furthermore, tools like Seedance 2.0 are demonstrating rapid advances in text-to-video generation, while McKinsey reports confirm AI is already streamlining film production by automating tasks like storyboard generation and prop listing.
Industry and Community Reaction to the Security Shift
The cryptocurrency and AI developer communities have reacted with a mix of alarm and appreciation to the IronClaw announcement. On social media and developer forums, many users confirmed halting their use of OpenClaw for any financial tasks after witnessing credential leak reports. This pragmatic fear is driving immediate demand for more secure frameworks. Meanwhile, the release of Polystrat has been met with cautious optimism by quantitative traders, who see it as a sophisticated tool for market analysis but remain wary of its performance transfer from the smaller Omen platform to the highly competitive Polymarket ecosystem.
Conclusion
The simultaneous launch of IronClaw and Olas’s Polymarket bots in February 2026 marks an inflection point for autonomous AI agents. The market is rapidly bifurcating: one path pursues maximum capability and integration, exemplified by the original OpenClaw, while the other prioritizes security and constrained reliability, as seen with IronClaw and Olas’s structured agents. For users, the lesson is clear: the power of AI assistants must be balanced with architectural safeguards, especially when financial assets or personal data are involved. The coming weeks will test whether Rust-based isolation and encrypted vaults can provide the trust needed for widespread AI agent adoption, setting the security standard for the rest of the decade.
Frequently Asked Questions
Q1: What is the main security difference between OpenClaw and IronClaw?
IronClaw is rebuilt in the Rust programming language and isolates each tool in a sandboxed WebAssembly environment. Most critically, it stores secrets like private keys in an encrypted vault separate from the AI model, which only receives permission tokens for specific actions, preventing direct credential access.
Q2: How successful are Olas’s AI prediction market bots?
Based on historical data from the Omen platform, Olas’s agents (renamed Polystrat for Polymarket) have achieved a long-term success rate between 55% and 65% in categories like science and business. However, their performance drops significantly in subjective categories like fashion or arts.
Q3: When will IronClaw be available to the public?
Near.AI executives indicate that IronClaw is expected to be finished and available on the Near.AI platform within a matter of weeks, following an intense development period with over 70 GitHub commits in a single week.
Q4: Can I still use OpenClaw safely?
Security experts currently advise extreme caution. Using OpenClaw with terminal access, browser control, or cryptocurrency wallet integration carries high risk. The Near.AI Cloud offers a beta version running in a more secure Trusted Execution Environment, which provides better isolation.
Q5: What is the biggest risk with AI agent skill marketplaces like ClawHub?
The primary risk is downloading skills containing malicious code. Slowmist identified 341 such skills designed to steal passwords or data. The “curated marketplace” model, where skills are vetted before listing, is being considered as a necessary safety measure.
Q6: How much capital is needed to start using a Polystrat bot on Polymarket?
According to Olas co-founder David Minarsch, funding an agent with approximately $100 is sufficient for it to bet autonomously across enough markets to provide a meaningful evaluation of its performance strengths and weaknesses.
