Splashtop Agentic Packr targets the patch-gap attackers exploit

Splashtop, whose remote-access and endpoint-management software runs across more than 25 million devices globally, has launched Agentic Packr, an AI-driven tool that automates the preparation of third-party application updates for deployment via Microsoft Intune. The product targets a specific, well-documented vulnerability in enterprise IT operations: the manual packaging bottleneck that keeps a known fix sitting in a queue while the underlying flaw remains open on live endpoints.

The problem the tool addresses is structural rather than novel. For Windows environments managed through Intune, every third-party application update must be individually packaged, tested, and certified before it can be distributed. That work has traditionally required specialist knowledge, and in most IT teams it falls to a small number of people. J.P. Morgan Asset Management's "Patchmageddon" report, published in July 2026, found that in roughly 60% of breaches, a patch for the exploited vulnerability was already available at the time of compromise. The CISA Known Exploited Vulnerabilities catalogue, meanwhile, attributes approximately three-quarters of its listed vulnerabilities to non-Microsoft vendors, the precise category where the manual packaging burden is heaviest.

AI on the defender's side

Agentic Packr uses AI to analyse each installer, derive its install and uninstall parameters, and generate detection rules, before scripted automation builds and tests the resulting package. A rule-based fallback engine handles edge cases. Security checks run separately from the AI layer, scanning every installer against threat intelligence before the package is cleared for Intune. The tool covers more than 1,000 third-party applications, along with custom and internally developed software.

"Packaging is a craft of its own, and learning to build quality PSADT packages takes time few of them have," said Maxime Guillemin, Product Manager and Microsoft Community Lead at Splashtop and a Microsoft MVP. "Agentic Packr brings that expertise to every team, so third-party updates no longer wait for the one person who knows how."

The product sits alongside two existing Splashtop offerings. Autonomous Endpoint Management identifies devices exposed to CVE and CISA-listed vulnerabilities and enables real-time remediation. Remote Support and Foxpass extend the platform to hands-on device support and certificate-based network access respectively. Together they represent Splashtop's positioning as a complementary layer to Intune rather than a replacement for it. Agentic Packr is available now for Windows, free for the first 100 endpoints, with macOS support planned for a future release.

The broader patch-management market

For Disrupts readers tracking capital flows across cybersecurity and enterprise software, this launch is a useful signal about where the agentic-AI wave is landing in the IT-operations stack. The patch-management and endpoint-security market has attracted sustained investment over the past three years, with platforms such as Tanium, Automox, and Action1 each staking out positions in the automated-patching segment. Splashtop's move to layer agentic AI over an Intune-native workflow rather than compete directly with those platforms reflects a growing product-strategy pattern: augment the dominant enterprise platform (in this case Microsoft's device-management stack) rather than displace it.

The macro context is notable. As AI tooling lowers the cost of vulnerability discovery and exploit development for threat actors, the pressure on defenders to compress patch-cycle times becomes a systemic enterprise risk, not just an IT operational concern. Boards and risk committees are increasingly treating mean-time-to-patch as a material disclosure metric, a shift that raises the commercial stakes for any vendor credibly shortening that interval. Whether Splashtop's freemium entry point converts at scale into the mid-market and managed-service-provider segments will be the real test of Agentic Packr's commercial thesis.