Caroline Bishop
Jun 23, 2026 18:54
Fireblocks’ Agentic Policy Analyzer uses AI to simulate attack scenarios, identifying vulnerabilities in digital asset policies before attackers can exploit them.
Fireblocks has introduced an AI-powered feature, the Agentic Policy Analyzer (APA), designed to proactively identify vulnerabilities in transaction policies for digital asset operations. Part of the Fireblocks Security Posture Management (FSPM) suite, APA employs large language models (LLMs) to simulate potential attack scenarios, providing institutions with a comprehensive defense mechanism against increasingly sophisticated adversaries.
For institutions managing digital assets, the stakes are particularly high. Attackers leveraging AI have drastically reduced the cost and complexity of executing exploits, from spear-phishing campaigns to identifying configuration weaknesses. Fireblocks, responsible for processing 15% of global stablecoin volume and over 35 million monthly transactions (as of late 2025), is now using AI to level the playing field for defenders.
How the Agentic Policy Analyzer Works
APA operates by running simulations whenever a transaction policy is updated. Using two specialized AI agents—one identifying single points of failure and another simulating adversarial exploits—it probes the policy’s logic to uncover vulnerabilities. For example, it can detect when multiple rules inadvertently combine to create exploitable paths, such as allowing small, repeated transactions to drain funds below a configured cap.
To mitigate false positives, APA feeds its findings into a deterministic policy engine for validation. If the engine confirms that the exploit would be allowed under the current configuration, the vulnerability is flagged and detailed remediation is provided to the institution’s security team. This ensures actionable insights without the noise of speculative results—a common pitfall of AI-based tools.
Why This Matters
Historically, transaction policy reviews have relied on manual, periodic audits that are too slow to keep up with AI-driven attackers capable of iterating in real-time. Fireblocks’ automated adversarial analysis eliminates this bottleneck, offering continuous policy monitoring and immediate alerts when vulnerabilities are found. The platform’s focus on transaction governance, wallet configuration, and DeFi exposure makes it uniquely suited for digital asset operations, differentiating it from general-purpose cybersecurity tools.
Fireblocks launched FSPM in October 2025 as the first security posture management solution tailored exclusively for digital assets. The addition of APA further enhances its ability to protect institutions from sophisticated threats, demonstrating Fireblocks’ commitment to staying ahead of an evolving threat environment.
Broader Implications for the Industry
The introduction of APA reflects a broader trend in the digital asset space: the integration of AI into both attack and defense strategies. With tools like “Drainer-as-a-Service” bundling AI capabilities for attackers, institutions are under pressure to adopt equally advanced defensive measures. Fireblocks’ approach—grounding AI outputs in deterministic systems—offers a model for responsibly deploying AI in high-stakes environments where errors can lead to irreversible losses.
Looking ahead, Fireblocks plans to expand its AI-driven capabilities, exploring new analyzers for different attack patterns and refining its simulation backends for higher fidelity. As the cost of a successful exploit remains high, such innovations will be critical for maintaining trust in digital asset infrastructure.
For institutions using Fireblocks, the addition of APA provides not just a security upgrade but also a competitive edge. By identifying vulnerabilities before attackers can exploit them, organizations can demonstrate proactive risk management—a key factor for regulators and investors in a fast-growing, high-risk industry.
Image source: Shutterstock
