Article
Rein’s Agent Breakers Research Team Discovers Critical Vulnerabilities in Top U.S. Retailer’s AI Shopping Agent
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16.07.26
Rein for Finance & Insurance AI Agents
Finance, FinTech and Insurance AI agents are exposed to financial data, advising on policies, and guiding sensitive customer decisions. That’s a new kind of risk profile- existing security tools weren’t built for it. Rein is.
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"At Dun & Bradstreet, our AI workloads run everywhere. We needed security that delivers coverage at the application layer, not at the perimeter. Rein is the first platform we've seen that's purpose-built for the production agents that actually run the business; it sees what every agent does, and where it runs in real time. That's the kind of coverage enterprise agentic AI demands. I literally log in to this product every single day."
Jay DePaul, Chief Cybersecurity & Technology Risk Officer, Dun & Bradstreet
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Agentic AI creates an accountability gap that legacy controls simply weren't built to close. Rein is the only platform that gives detailed runtime visibility into what AI agents are performing in production - not just what they're being asked to do. No other vendor operates at the execution layer the way they do. Rein gives builders and defenders clear sight lines into agent behavior, real-time guardrails that don't break workflows, and the security posture we need to scale agentic AI with confidence.
Phillip Miller, VP & Global CISO, H&R Block
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Uptime and security are strict requirements. That’s why we need a way to understand what’s really happening in our agents and apps, without relying on limited data, proxies or guesses. Rein provides exactly that. Its granular baselines and real production visibility give us confidence that when something deviates, it’s real - not another false signal. That way we can detect and stop actual exploitation attempts, understand what the application is actually doing, and support developers with the visibility they need, all without impacting production.
Jonathan Jaffe, CISO, Lemonade
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As enterprise agents become more embedded in business processes, the ability to understand and communicate their impact, not just their technical risk, is paramount. Rein’s Business Impact Analysis genuinely bridges that gap, connecting technical findings directly to the business functions and actions at stake, in a language the C-suite can act on.
Rob Teel, Field CTO of GigaOm
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Enterprise AI agents are unpredictable, over-permissioned, and easily manipulated-often acting outside a user's intent. It's like giving a kid a credit card in a candy store. Rein provides full runtime tracing of every agent action, allowing organizations to verify intent in real time and stop risky behavior based on context, not predefined rules. This is critical for safely adopting agentic AI at enterprise scale.
Senior Vice President, Security Solutions, A Large Wealth Management Company
Securing Finance Agents is Uncharted Territory
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No paper trail
When a customer or court challenges an agentic decision, can you replay exactly what happened and prove there was no discrimination or liability? Traditional logs can't.
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Agents have keys to the kingdom
The agentic supply chain is new and mostly invisible -a vulnerable dependency can quietly expand what an agent does. And with Mythos becoming more prominent, both unknown and known risks are growing exponentially.
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Misaligned agents are a potential lawsuit.
The gap between what an agent is supposed to do and what it actually does is where the greatest risk lives.
The Rein Way
See & Control your Finance Agents with Real Business Context
Get provable actions, enforceable policies, and agent alignment. For the first time, secure what your finance agents actually do.
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Forensic audit trail
Every action, end-to-end: input, tools called, data accessed, output. Replayable. Defensible.
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Runtime data access control
Anomalous data access detected and blocked in real time - before it becomes a breach.
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Agent alignment, managed
Control what the agent actually does, correlating, for the first time, intent and outcome.
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Agentic supply chain, verified
Be ready for the post Mythos world - see which vulnerable dependencies actually execute in production, and a full agentic SBOM.
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Code security at agentic speed
SAST findings validated against what actually runs. Full code security for finance agents.
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Guardrails that protect, not just alert
Prompt injections and policy violations stopped before they cause business harm.
In numbers
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100%
coverage, uncovering every prompt, action and data access
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Full
MITRE ATLAS™ and OWASP top 10 protection with automatic guardrails
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<1 min
time to remediation with automatic fixes across the whole chain
Case Study
From Liability Exposure to Agent Control
A global financial services firm. 30+ customer-facing agents. Limited visibility into what they were doing.
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Challenge
Agents were replacing service reps - guiding customers on policies, providers, and premiums. No visibility into what data each agent touched. Legal flagged serious liability with no record of what the agent said, accessed, or why.
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Solution
Rein was deployed. Within hours: a live agent inventory, compliance posture scores, and a replayable record of every interaction. Authorization enforcement scoped each agent to only the data it needed.
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Outcome
Full runtime coverage in under a day. A defensible audit trail. Data access tightened without a single code change. A full list of reachable agent vulnerabilities with a remediation plan ready for devs.
For Any Type of Enterprise Agent
The Rein platform is built to secure agentic systems across industries with radically different risk profiles, from financial fraud prevention and healthcare data privacy to complex SaaS environments.
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Finance agents
Get a full audit trail of every agent interaction, detect fraud and stop unintended agent behavior in real time
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Healthcare agents
Protect sensitive patient data from prompt injection, stop agent hallucinations while keeping interaction data private
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Retail agents
Put in dynamic guardrails while minimizing agent downtime, prevent fraud and stop attacks as they happen
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SaaS agents
Monitor agent to agent interactions and stop attacks on your agents before they reach the enterprise environment
Learn More
You Probably Have Some Questions.
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In a finance or insurance agent, a prompt injection or hallucination isn't bad text, it's a wrong transaction, a leaked customer record, or a liability you defend in front of a regulator. These agents plug straight into payments and core systems, and perimeter tools can't tell a legitimate query from a hijacked one once it reaches your data.
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Yes. Rein records what every agent actually did, not just what it said, the full execution chain from prompt to tools, data touched, and who triggered it. That replayable record is audit-ready for SOX, SOC 2, ISO 42001, the EU AI Act, and data privacy laws, monitored continuously rather than at a point in time.
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Rein learns what normal looks like for each agent and enforces guardrails on any deviation, in real time. It sees the full execution chain to tell a legitimate query from a prompt-injected one, and applies business-aware controls by user, role, and data sensitivity across providers, agents, Model Context Protocol (MCP) servers, and tools, covering misconfigured tools and unknown threats no signature will catch.
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Yes. Rein sees every tool call, data access, and action an agent triggers through MCP, with the full context of who and why. Every MCP server is a new trust boundary it covers through one policy plane, catching MCP tool poisoning and injected tool calls, not just known signatures.
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Yes. Rein keeps your data private, so you can see and govern everything your agents do without your sensitive data ever leaving your environment. Coverage sits at the application layer, built for the privacy demands of regulated finance and insurance.
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Rein connects every agent action to a business outcome, enforces your policies in real time, detects fraud, and keeps you audit-ready, all while keeping your data private. You get 100% coverage with MITRE ATLAS and OWASP Top 10 and audit-ready evidence for SOX, SOC 2, ISO 42001, and the EU AI Act from one simple sidecar, and it was voted the best AI cybersecurity solution by Fortune 500 CISOs at ONUG 2026.
