Palisade
Palisade provides an AI-powered security platform that monitors kernel-level activity—syscalls, eBPF traces, process and memory events, and live network packets—to detect OS vulnerabilities like privilege escalation and memory corruption before exploitation. The platform automatically converts fixes into inspectable rules deployable fleet-wide in minutes, with audit-only and enforcing modes for controlled rollout.
- Cybersecurity
- Artificial Intelligence
- Software Only
Funding
Raised to date
$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Founder details are not available yet.
Product
Problem
Most security tools monitor network, cloud, and application layers, leaving operating system vulnerabilities largely invisible. OS-level exploits such as privilege escalation, remote code execution, and memory corruption are among the hardest to detect, and even after discovery, rolling out mitigations across hundreds or thousands of machines can take weeks.
Solution
Palisade provides an AI-powered security platform that attaches at the LSM-BPF layer alongside the existing operating system, watching kernel-level activity including syscalls, eBPF traces, process and memory events, and live network packets. The AI runs directly on kernel data to identify vulnerabilities that other tools miss, such as privilege escalation and memory corruption, before an exploit lands. Once a vulnerability is found, Palisade converts the fix into an ordinary, inspectable rule that can be deployed fleet-wide across endpoints in minutes. The platform supports an audit-only mode for initial monitoring and an enforcing mode, giving teams control over when rules are activated.
Target Audience
Primary customers are security operations teams and IT administrators at enterprises and cloud-native organizations that need OS-level vulnerability detection and rapid fleet-wide remediation across their endpoint infrastructure.
Features
- Kernel-level monitoring of syscalls, eBPF traces, process and memory events, and live network packets
- AI models that analyze kernel data directly to detect zero-day and known OS vulnerabilities
- Automatic generation of fix rules that are inspectable and reviewable before deployment
- Fleet-wide rule deployment across hundreds or thousands of endpoints in minutes
- Audit-only and enforcing modes, with policy maps and rule packs for different security configurations
- Specific detection of sensitive threat paths such as cloud metadata service access (e.g., 169.254.169.254) that can lead to credential harvesting