Mobile Device Security Reimagined for the AI Era

In May 2026, for the first time, Google Threat Intelligence Group confirmed a real-world threat actor had used a zero-day exploit developed with AI — planned for mass exploitation and only stopped by GTIG’s proactive counter-discovery. Just weeks earlier, Anthropic’s Claude Mythos had demonstrated why this was inevitable: autonomously identifying thousands of zero-day vulnerabilities across every major operating system and browser, then constructing working exploits against them without human intervention.

For security teams, cutting through the AI noise to a durable assessment of what actually changes requires discipline. For Corrata, the answer involves three dimensions:

• AI is creating new risks through the way employees use LLMs — Shadow AI, data leakage, governance gaps;
• AI is being weaponised by attackers, producing threats that are faster, more sophisticated, and more personalised; and
• AI embedded within our product gives defenders capabilities that can match and exceed what attackers are deploying.

This framework has allowed us to re-imagine mobile device security for the AI era.

How AI Is Reshaping the Mobile Threat Landscape

Mobile devices sit at the epicentre of all three dimensions — a primary vector through which employees interact with AI, the endpoint most frequently outside traditional security controls, and an increasingly favoured attack surface for AI-augmented adversaries. Four threat categories define the new environment.

Hyper-Personalised Social Engineering. AI has transformed phishing from a numbers game into targeted precision. Attackers use LLMs to construct lures from publicly available data — LinkedIn profiles, company announcements, recent news — producing messages indistinguishable from genuine communications. M-Trends 2026 puts the click-through rate on AI-generated phishing at 54%, against 12% for traditional campaigns. On mobile, where 85% of phishing attacks already occur outside email — across SMS, WhatsApp, Teams and other messaging channels — the impact is acute. Victims aren’t catching clumsy, misspelled emails. They’re responding to messages that feel entirely legitimate.

AI-Accelerated Exploits and Insecure Code. GTIG’s confirmed zero-day is the sharpest illustration of a broader shift: finding and weaponising vulnerabilities no longer requires deep expertise or months of effort. The median time from disclosure to active exploitation had already fallen from 771 days in 2018 to single-digit hours by 2024 — before frontier models like Mythos entered the picture. Compounding this, the rise of “vibe coding” — AI-generated code shipped without full developer comprehension — is producing a steady supply of insecure enterprise applications. Mobile is particularly exposed, where apps are deployed quickly and outside the review processes that govern traditional software.

Shadow AI and Data Loss. When employees find that an AI tool makes them more productive, they use it — approved or not. Research suggests 43% share corporate data with LLMs without authorisation. On mobile, where personal and professional boundaries are already blurred, the exposure is acute: sensitive documents uploaded to consumer AI services, client details pasted into chatbots, proprietary code submitted for debugging. Institutional knowledge is leaving organisations at an unprecedented rate, with no visibility and no controls in place.

Agentic Overreach. AI agents — autonomous systems acting on a user’s behalf — are being granted broad access to mobile capabilities: microphones, cameras, contacts, location, messaging. Developer intentions are often benign, but the permissions requested routinely exceed what the use case requires. A typical social networking app already requests ten unnecessary permissions. As agents proliferate, this attack surface will expand rapidly.

How Corrata Is Reimagining Mobile Security for the AI Era

Corrata has always been built on a simple premise: mobile devices deserve the same depth of security monitoring as laptops and servers. Our on-device architecture inspects 100% of network traffic without routing it through a cloud relay — a visibility advantage no competitor has matched. In the AI era, that foundation becomes more important, not less. But architecture alone is not enough. The threat landscape has changed, and Corrata has changed with it.

Elevated Capabilities for a New Threat Environment. Several existing Corrata capabilities take on heightened significance in this environment. Automatic device quarantine — isolating devices that fall below a defined security threshold — is the first line of defence against AI-accelerated exploits targeting unpatched vulnerabilities. Continuous monitoring of all device traffic, across DNS queries, IP connections, Server Name Indicators, TLS configurations and port activity, gives security teams the visibility to detect C2 communications on compromised devices. The ability to block or report access to specific AI services and SDKs allows organisations to act immediately, even before a formal governance framework is in place.

On-Device LLM for Enhanced Traffic Analysis. The vast majority of mobile traffic is now encrypted, and current detection — based on device scanning, app analysis and network metadata — will struggle against the more sophisticated social engineering and exploit techniques that AI is enabling. Corrata is addressing this with a custom on-device LLM purpose-built for the mobile environment, which will analyse traffic patterns, behavioural signals and connection metadata to surface threats hidden within encrypted sessions — on the device itself, in real time, with no data leaving the phone.

AI Governance for the Mobile Workspace. Corrata’s AI Governance capability lets organisations define which AI services and SDKs are sanctioned in the mobile workspace and enforces those policies automatically. Approved tools are unaffected; access to unsanctioned services — consumer chatbots, AI coding assistants, embedded LLM SDKs in third-party apps — is flagged or blocked. As AI governance frameworks including ISO 42001 and the EU AI Act mature, mobile is the enforcement gap most organisations have yet to close. Corrata closes it.

Precision Mobile DLP for the AI Age. Data leakage via mobile is no longer confined to lost devices or unencrypted email — AI tools are now a primary exfiltration channel. Corrata’s enhanced DLP uses fine-grained traffic analysis to detect sensitive corporate data being transmitted to external services, whether deliberately or inadvertently. Rather than simple URL categorisation, Corrata analyses the nature and destination of data flows, enabling security teams to act on genuine data loss events rather than chase false positives.

A New Standard for Mobile Security

The device in your employee’s pocket is simultaneously connected to AI tools, targeted by AI-powered attackers, and operating in an environment where the threat landscape is being rewritten in real time. The controls deployed two or three years ago were not built for this world.

Corrata brings together the deepest visibility into mobile traffic of any solution on the market with a new generation of AI-native capabilities built for the threats that matter most right now. The organisations that get ahead of this moment will be those that treat mobile security as a genuine strategic priority — not a compliance checkbox.

Request a demo today to see how Corrata’s reimagined approach works in practice.