MA-S2
v1.0 / May 2026
v1.0
May 2026
Cyber-tuned LLMs are increasingly capable of finding novel vulnerabilities in complex environments, and our adversaries are increasingly capable of wielding them. This has increased the surface area of attacks for mission-critical institutions, who are facing a new bottleneck of vulnerability triage, remediation, and orchestration. Palantir has taken on the responsibility of proposing a new standard for the security community as the bar that we believe any serious institution should hold.
Shyam Sankar / Chief Technology Officer, Palantir Technologies
Shyam Sankar
Chief Technology Officer, Palantir Technologies
Contents
0.0
Abstract
Palantir Technologies operates software and AI operations across the most sensitive environments in the world: classified government networks, active combat theaters, air-gapped intelligence systems, and critical commercial infrastructure. Over 20+ years, we have designed our deployment infrastructure and security posture to support these environments on an ongoing basis, with readiness for all new developments and technological advancements, such as the most recent advent of cyber-tuned LLMs.
This document proposes a candidate Mission Assurance Security Standard (MA-S2) framework for software, one to which we are actively working towards. Beyond meeting established frameworks (e.g, SOC 2, FedRAMP, IL5 / IL6, NIST SP 800-53, ISO 27001, etc.), the proliferation of AI-assisted vulnerability discovery has underscored the need for a heightened standard across the software landscape. MA-S2 is a proposed framework that outlines the security controls, identification and remediation capabilities, orchestration capabilities, and other attestation requirements for software.
We are publishing this proposed standard publicly and for comment because we view it as our responsibility to any enterprise that wishes to secure its own digital footprint and ecosystem, and we view it as our contribution to the broader security community. For any CISO, CFO, procurement officer, and security architect that believes its mission is as critical as those that are responsible for the United States’ national security, and wish to protect their environments to this same standard, we encourage them to urgently prioritize meeting these standards.
For the broader security community, we actively invite reviews and further contributions to ensure a collectively high and growing standard.
1.0
Background
1.1
From Vulnerability Identification to Automated Remediation & Orchestration
The Office of the CISO and the cybersecurity industry has operated for decades under a stable assumption: that finding vulnerabilities in complex software systems was the single most difficult and important challenge. Individual software solutions with large teams and programs (e.g., penetration testing cycles, bug bounties, etc.) have been faced with addressing the expensive, slow, and challenging process of vulnerability discovery.
The discovery of zero-day vulnerabilities in major operating systems and browsers, which previously required elite research teams, has become an automated, high-volume capability available to any sufficiently resourced adversary. The actors who are already exploiting this shift at a national level are already deploying these capabilities.
AI models are now capable of rapidly surfacing novel vulnerabilities in complex, multi-stage cyber attack paths. Organizations can identify more vulnerabilities and at a faster pace, but lack domain awareness and automated remediation infrastructure. It is no longer acceptable to be unable to answer the most basic questions of what software is running, where, and on what version. Industry must be able to respond at velocity and scale.
1.2
Critical Standard for Software & AI Security
The Mission Assurance Security Standard (MA-S2) is organized around four key controls that represent the minimum viable posture for any software vendor operating in a modern, secure environment:
Continuous, AI-Augmented Vulnerability Scanning (CVS)
Attack Path Modeling and AI-Assisted Adversarial Simulation (APM)
Real-Time Software Inventory and Domain Awareness (INV)
Autonomous Remediation Orchestration (ARO)
2.0
Applicability and Attestation
2.1
Applicability
2.2
Complementary Frameworks
2.3
Purpose and Use
MA-S2 is intended for use by third parties, including customers, procurement organizations, regulators, and independent assessors, to evaluate the security posture of software vendors operating in their environments. A vendor’s adherence to MA-S2 is established through an independent assessment of evidence against each control domain, producing an MA-S2 attestation report that the vendor may share with customers and prospects under appropriate confidentiality terms.
Organizations may also use MA-S2 internally as a self-assessment framework to evaluate their own software posture and identify gaps.
2.4
Attestation and Evidence
3.0
Control Domain 0: Continuous, AI-Augmented Vulnerability Scanning (CVS)
3.1
Control Objective
Vendors must demonstrate the capability to continuously scan all software components they ship or operate for known and novel vulnerabilities, regardless of packaging format or deployment model, using tooling that integrates AI-assisted analysis alongside deterministic scanning methods. Point-in-time scanning is insufficient.
Control Domain 0 requires vendors to maintain a continuous, living record of their vulnerability landscape across the entirety of the software footprint.
3.2
Required Controls
CVS-0.1
Automated Container and Dependency Scanning
CVS-0.2
Severity Classification Using Current Standards
CVS-0.3
AI-Augmented Vulnerability Analysis
CVS-0.4
Automatic Detection, Mitigation, and Recall of Critical Findings
When a Critical or High severity vulnerability with a known exploit is identified in a deployed release, the vendor’s platform must satisfy three requirements:
Automated Detection and Escalation
Identification of the finding and escalation to the appropriate response workflow must occur without manual initiation.
Automated Interim Mitigation
The platform must automatically apply compensating controls that reduce exposure (e.g., network isolation, feature disablement, or configuration changes) while the full remediation is in progress.
One-Action Recall or Quarantine Across the Fleet
The platform must be capable of recalling or quarantining the affected release across all affected environments as a single orchestrated action. Human approval may gate execution of the recall, but the orchestration mechanism itself must not depend on manual, environment-by-environment intervention.
CVS-0.5
Contextual Vulnerability Prioritization and Remediation SLAs
Vendors must establish, publish, and demonstrate adherence to remediation SLAs for identified vulnerabilities. SLAs must satisfy two requirements:
First, prioritization must incorporate exploitability context, not raw severity alone.
CVSS scores, particularly when sourced from CNAs without independent enrichment, are insufficient as a sole prioritization input. Vendors must demonstrate that their SLA assignment incorporates exploitability context, including at minimum:
EPSS and KEV enrichment (per CVS-0.2)
Reachability analysis at both the source code and dependency level (is the vulnerable function actually called by first-party or transitively included code?) and the runtime level (is the vulnerable code path reachable from an attacker-controllable surface in the deployed environment?)
Asset and data context (criticality of the affected component, sensitivity of data processed, blast radius of compromise)
Attack path context as defined in APM-1.3
Vulnerabilities determined to be unreachable or otherwise non-exploitable in the deployed context may be deprioritized or risk-accepted through the suppression mechanism defined in ARO-3.4, with documented justification. Vendors who apply uniform SLAs based on CVSS score alone, without contextual enrichment, are not meeting this control.
Second, SLAs must be defined by severity tier and adhered to in practice.
Vendors must publish remediation SLAs covering, at minimum, Critical, High, and Medium severity tiers as determined after contextual enrichment. SLA durations must be defensible relative to the exploitability of the finding — vulnerabilities with active known exploits (KEV-listed or with high EPSS scores) must carry materially shorter SLAs than vulnerabilities of equivalent CVSS score without active exploitation evidence.
SLA adherence must be demonstrated through platform telemetry per ARO-3.6, not manual reporting. Vendors must report SLA compliance rates by severity tier as part of their MA-S2 attestation evidence.
3.3
Disqualifying Deficiencies
A vendor fails this control domain if they cannot demonstrate:
Automated per-release scanning, or reliance purely on periodic manual scanning
EPSS or KEV enrichment of vulnerability classifications
AI-assisted component(s) in the discovery pipeline
Automatic escalation workflows for Critical or High severity findings
Documented and measurable remediation SLAs
4.0
Control Domain 1: Attack Path Modeling and AI-Assisted Adversarial Simulation (APM)
4.1
Control Objective
Vendors must demonstrate that their security posture accounts for the use of AI by adversaries to traverse multi-stage attack paths through software systems. This includes the ability to model how AI-assisted adversaries would sequence vulnerabilities across their software stack and to prioritize remediation based on exploitability in those respective contexts.
Control Domain 1 requires vendors to model and handle their exposure at the attack path level across the entire landscape of components, micro-services, and other elements of their architecture, such that chained findings that together constitute a certain severity are appropriately handled despite how individual findings may be handled in isolation.
4.2
Required Controls
APM-1.1
Attack Path Modeling Capability
APM-1.2
Adversarial AI Simulation
APM-1.3
Contextual Triage Integration
APM-1.4
Threat Intelligence Integration
4.3
Disqualifying Deficiencies
A vendor fails this control domain if they cannot demonstrate:
Any attack path modeling capability beyond individual CVE management
Ongoing AI-assisted adversarial simulation
A triage workflow that incorporates context, rather than relying solely on raw CVE scores
Integration of external threat intelligence into prioritization decisions
5.0
Control Domain 2: Real-Time Software Inventory and Domain Awareness (INV)
5.1
Control Objective
Vendors must maintain a complete, real-time, machine-readable inventory of all software components across every environment in which their software operates. This inventory must include version, runtime configuration, and deployment location. It must be continuously updated, not generated on demand. Finally, it must be comprehensive across heterogeneous and all environments.
Control Domain 2 requires vendors to a maintain real-time and fully comprehensive inventory of their entire software supply chain, including first-party and inherited open-source code and all upstream systems / tooling upon which additional code is written.
5.2
Required Controls
INV-2.1
Software Bill of Materials (SBOM) at Release
INV-2.2
Runtime Inventory Continuous Reconciliation
INV-2.3
Environment-Level Deployment Visibility
INV-2.4
Supply Chain Visibility
INV-2.5
Air-Gapped and Disconnected Environment Coverage
5.3
Disqualifying Deficiencies
A vendor fails this control domain if they cannot demonstrate:
Machine-readable SBOMs for current and prior releases
Ongoing runtime reconciliation capability
Environment-level deployment state visibility via API
Comprehensive supply chain visibility beyond their own first-party code
Ongoing inventory coverage for air-gapped or disconnected environments
6.0
Control Domain 3: Autonomous Remediation Orchestration (ARO)
6.1
Control Objective
Vendors must demonstrate the capability to autonomously orchestrate remediation actions across their full deployment fleet. This includes the deployment of patched releases, rollback of vulnerable releases, environment-specific suppression of findings, and more. Human authorization and / or involvement may be prompted or even required for specific classes of actions, but it must not be the bottleneck.
Control Domain 3 requires vendors to close the vulnerable code chain across every environment where it is deployed on an ongoing basis with autonomous remediation orchestration.
6.2
Required Controls
ARO-3.1
Automated Patch Deployment
ARO-3.2
Fleet-Wide Remediation Orchestration
ARO-3.3
Compliance-Aware Change Management
ARO-3.4
Vulnerability Suppression with Audit Trail
ARO-3.5
Developer-Operator Workflow Integration
Where developer teams responsible for producing patched code and operator teams responsible for deployment authorization are organizationally distinct, the vendor must demonstrate a workflow that produces measurable, timestamped records for three milestones, outlined below. These milestones must be captured in a system of record (such as a ticketing system, workflow platform, or release management tool) and must be reportable on demand. Informal communications (chat, email, code review discussion) are not in scope of this control.
Vulnerability Discovery
The point at which a vulnerability is identified and assigned to a responsible developer for resolution.
Patch Availability
The point at which a resolved version of the affected software is available for deployment.
Deployment Authorization(s)
The point(s) at which the operator(s) responsible for each affected environment authorize deployment of the patched release.
ARO-3.6
Remediation Metrics and Reporting
6.3
Disqualifying Deficiencies
A vendor fails this control domain if they cannot demonstrate:
Automated patch deployment
Autonomous fleet-wide orchestration capability
Compliance-aware change management
A formal, auditable suppression mechanism
Measurable MTTR and SLA compliance reporting from platform telemetry
7.0
Final Note
The current landscape of adversarial threats is extreme, and the advent of cyber-tuned LLMs is skyrocketing the rate of vulnerability identification. With hundreds of vendors rushing in to be the harness for specific models, CISOs must grapple with new bottlenecks: the need to create real-time visibility into exactly what versions of software are running across every type of environment, the ability to achieve rapid remediation with exact precision, and having the capacity to reliably close the remediation chain through autonomous orchestration.
We invite any organization that shares this assessment of the threat environment to contribute to MA-S2 as a standard for the software landscape, and as a vendor requirement for organizations’ software supply chains.
A
Appendix
MA-S2 Control Summary
Control Domain
Continuous, AI-Augmented Vulnerability Scanning
Control ID
CVS-0.1
CVS-0.2
CVS-0.3
CVS-0.4
CVS-0.5
Control Overview
Automated Container and Dependency Scanning
Severity Classification Using Current Standards
AI-Augmented Vulnerability Analysis
Automatic Detection, Mitigation, and Recall of Critical Findings
Contextual Vulnerability Prioritization and Remediation SLAs
Control Domain
Attack Path Modeling and AI-Assisted Adversarial Simulation
Control ID
APM-1.1
APM-1.2
APM-1.3
APM-1.4
Control Overview
Attack Path Modeling Capability
Adversarial AI Simulation
Contextual Triage Integration
Threat Intelligence Integration
Control Domain
Real-Time Software Inventory and Domain Awareness
Control ID
INV-2.1
INV-2.2
INV-2.3
INV-2.4
INV-2.5
Control Overview
Software Bill of Materials (SBOM) at Release
Runtime Inventory Continuous Reconciliation
Environment-Level Deployment Visibility
Supply Chain Visibility
Air-Gapped and Disconnected Environment Coverage
Control Domain
Autonomous Remediation Orchestration
Control ID
ARO-3.1
ARO-3.2
ARO-3.3
ARO-3.4
ARO-3.5
ARO-3.6
Control Overview
Automated Patch Deployment
Fleet-Wide Remediation Orchestration
Compliance-Aware Change Management
Vulnerability Suppression with Audit Trail
Developer-Operator Workflow Integration
Remediation Metrics and Reporting
Proposed Minimum Questions for Software & AI Procurement Processes
Any organization incorporating MA-S2 requirements into internal assessments of their own IT exposure and current software landscape, and any organization looking to evaluate their software vendors against this standard, should at minimum require sufficient evidence of answers to the following questions.
Describe your automated vulnerability scanning process. At what point in the release pipeline does scanning occur? What tooling is used, and does it include AI-assisted discovery of novel vulnerabilities beyond known CVE pattern matching?
How do you classify and prioritize vulnerabilities? Do you incorporate EPSS scores and the CISA KEV catalog in addition to CVSS scores?
Describe your software inventory capability. Can you produce a real-time, machine-readable inventory of what version of what software is running in each permutation of an environment where your software is deployed, including air-gapped environments? How is this inventory kept current?
Have you subjected your software to AI-assisted adversarial simulation whereby vulnerabilities are chained across multi-stage attack paths? Describe the methodology and provide summary results or third-party attestation.
How do you orchestrate patch deployment across your fleet? Can patched releases be deployed to all affected customer environments from a single control plane? What is your demonstrated rollback time?
Who is responsible for remediating a vulnerability in your product, and how long does it take from identification to deployment of a fix in a customer environment?
How does your remediation process account for customers with air-gapped, classified, or compliance-constrained environments? Can you demonstrate automated, compliance-aware change management across those environments?