Outpace AI-Driven Threats: Your Blueprint for the CSA Advisory

How Tenable maps to the CSA advisory on Frontier AI-driven cyber threats

Singapore's Cyber Security Agency (CSA) published an advisory warning that Frontier AI models can compress the vulnerability-to-exploit timeline from months to hours. This webinar walks through the advisory's key mandates and shows how Tenable One capabilities address each one — from immediate mitigations to long-term strategies — with a live demo of the new Hexa AI and MCP automation workflows.

[00:01:50] Introduction and agenda

Principal Security Engineer Deepu James and Kenneth Teo introduce the session and outline the agenda: reviewing the CSA advisory, mapping Tenable capabilities to its guidelines, and demonstrating agentic AI automation.

• Speakers: Deepu James (Principal Security Engineer, 10+ years at Tenable) and Kenneth Teo (nearly 7 years at Tenable)
• Advisory reference: CSA AD-2026-04 on Frontier AI models, published 15 April 2026
• Session structure: Advisory overview, Tenable capability mapping, and live demo of Hexa AI and MCP automation

[00:03:30] What the CSA advisory says about Frontier AI models

The advisory warns that Frontier AI models like Mythos can dramatically reduce the time needed to discover vulnerabilities and engineer exploits — collapsing timelines from months to hours.

• Core warning: Attackers will soon have access to Mythos-class tools capable of autonomous vulnerability discovery and exploitation at machine speed
• Chained vulnerabilities: Organizations must stop treating vulnerabilities individually and instead look at how they chain together into attack paths
• Chokepoints: Defenders should identify and fix the critical points where multiple attack paths converge
• CSA mandate: Raise cyber hygiene now — patch faster, enforce least privilege access, implement multifactor authentication, and use AI to defend against AI-driven threats

[00:08:00] The accelerated exploitation timeline

A Cloud Security Alliance white paper shows mean time to exploit has dropped from 56 days in 2024 to under 24 hours. Autonomous exploitation is already happening in the wild.

• Exploitation speed: The MOAK (Mother of All KEVs) research site at moak.ai demonstrates fully autonomous exploitation of CISA KEV vulnerabilities in as little as 21 minutes
• Vulnerability tsunami: With vendors participating in Frontier AI programs already identifying vulnerabilities in their code, a massive spike in CVE disclosures is expected over the coming months
• Plugin growth: Tenable is publishing approximately 3,800+ new detection plugins per month, with at least two to three plugin releases every 24 hours

[00:13:00] The defender's disadvantage

While attackers operate at machine speed around the clock, many organizations still rely on manual vulnerability tracking, spreadsheet-based triaging, and monthly scan cycles.

• Manual processes: Many organizations still scan weekly or monthly, triage manually via spreadsheets, and enforce 30-90 day SLAs for remediation
• Volume challenge: Fixing every vulnerability identified by a scanner is impossible — without proper prioritization, teams will drown in the rising number of CVEs
• Audience poll results: Most attendees use risk-based, exploit-aware prioritization (VPR, CISA KEV, EPSS), with growing interest in AI automation to respond at machine speed

[00:16:00] Tenable's Frontier AI program partnerships

Tenable participates in multiple Frontier AI security programs, enabling early access to advanced AI models for both vulnerability research and product enhancement.

• Anthropic Project Glasswing: Access to Mythos models for identifying vulnerabilities within Tenable's own source code
• OpenAI TAC program: Glasswing-equivalent program for trusted advisory on cyber security
• OpenAI Daybreak Cyber Partner Program: Enables Tenable to use non-publicly available AI models to improve product capabilities, including attack path analysis and vulnerability chaining
• Vendor advisory integration: Tenable integrates directly with vendor advisories (Microsoft, Red Hat, and others) rather than relying solely on NVD, enabling faster detection coverage

[00:18:30] CSA immediate mitigations: external exposure and cloud security

The first set of CSA guidelines focuses on remediating critical vulnerabilities on internet-facing assets and tightening cloud security configurations.

• External attack surface management: Tenable One includes EASM to discover all public-facing assets and flag vulnerabilities using prioritized scoring
• Development environments: EASM automatically identifies and flags development, staging, and test environments accidentally exposed to the internet
• Cloud security posture: Tenable Cloud Security provides cloud infrastructure entitlement management (CIEM) and security posture management to identify over-permissive IAM roles and public-facing assets with excessive privileges

[00:20:55] Identity exposure and least privilege enforcement

The CSA advisory calls for reviewing and enforcing least privilege access. This requires visibility across all identity types — human, machine, and the emerging category of agentic identities.

• Agentic identities: Microsoft Entra ID now includes a dedicated section for AI agent identities alongside users and service principals — these require the same security scrutiny
• Tenable Identity Exposure: Identifies configuration issues in Active Directory and Entra ID, such as privileged accounts not protected against delegation
• Organizational gap: Identity security is often overlooked — Active Directory teams focus on operations, not security, leaving a gap that exposure management needs to fill
• All identity types matter: Non-human identities in cloud resources, human identities in AD, service principals in Entra ID, and AI agent identities all need to be part of prioritization

[00:24:00] Attack path analysis as a long-term strategy

Rather than chasing every CVE, the CSA advisory recommends monitoring attack paths across systems to identify which vulnerabilities can actually lead to a compromise of crown jewels.

• Cross-domain relationships: Effective attack path analysis spans vulnerability management, identity, cloud environments, on-premises infrastructure, OT, and external exposure
• Prioritize real risk: A CVE that can lead to an actual compromise through environment variables, leaked secret keys, or MCP configurations with exposed API keys should take priority over isolated findings
• Tenable Patch Management and Hexa MCP: Shortening patch cycles is a CSA long-term strategy — Tenable Patch Management handles remediation, while Hexa MCP enables AI-driven automation workflows

[00:30:00] Shadow AI and AI supply chain risks

With 86% of code carrying vulnerable third-party packages and AI accelerating development speed, the attack surface from software supply chains is expanding rapidly.

• Third-party code risk: Most applications rely on packages (NPM, Python libraries) that may contain critical vulnerabilities — these are pre-made entry points for AI-driven discovery
• Over-privileged machine identities: 52% of machine identities have excessive permissions, giving attackers ready-made paths to escalate privileges in cloud environments
• Unaudited AI agent permissions: When organizations enable tools like Copilot Studio, AI agents are created with identities that can accumulate permissions over time without proper governance review
• Real-world example: A developer discovered their AI coding tool was modifying pull requests autonomously after being granted write access to GitHub — permissions once given are remembered and retained

[00:35:00] Hexa AI: Tenable's agentic AI platform

Hexa AI is Tenable's orchestration engine built on top of Tenable One and Tenable Cloud Security, designed with governance controls including human-in-the-loop approval, constrained agency, and full audit trails.

• Capabilities: Run workflows, create dashboards, build custom policies, analyze risk, and integrate with ticketing systems — all through natural language interaction
• MCP server: Connects Tenable One data to external AI platforms (Copilot, Copilot Studio, ChatGPT) via approximately 89 tools, enabling custom automation workflows
• Governance built in: Hexa AI is constrained to your RBAC permissions, requires explicit approval for actions, logs every prompt, and never uses customer data for training
• Five-step readiness: See everything (visibility), prioritize ruthlessly (VPR scoring), cut the attack path (toxic combinations), validate against advisories, and remediate at machine speed

[00:40:00] Live demo: exposure signals, attack path, and MCP automation

The demo showcases exposure signals tracking, interactive attack path analysis, and a custom-built CSA advisory mapping dashboard powered by Hexa MCP.

• Exposure signals: Track internet-facing devices with exploits, hosts with domain admin logins on vulnerable systems, and set SLI thresholds for monitoring
• Attack path visualization: Interactive graph showing how a normal user with remote desktop access can chain through an AWS access key to reach a root user crown jewel
• CSA advisory dashboard: A custom dashboard built with MCP that maps Tenable One scan data to CSA advisories from the past six months, with direct links to each advisory
• Automated workflows: Jira tickets are created automatically when vulnerabilities match CSA advisories, with daily Slack notifications providing a digest of outstanding items
• MCP integration: Demonstrated via Cline with connections to Tenable One Exposure Management, Tenable Cloud Security, Gmail, Slack, and Jira — all through the MCP server's API-based integration

Watch the full webinar

Register above to watch the full session, including the live demonstration of Hexa AI and MCP automation workflows mapped to CSA advisory guidelines. You will also receive the one-page PDF mapping document covering all CSA immediate mitigations and long-term strategies aligned to Tenable One capabilities.