Andrew Jones

Role: Solutions Engineer at Salt Security
Location: Fairfax County, VA, US
LinkedIn followers: 500 followers

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Experience

Solutions Engineer
Salt Security
Apr 2023 — Present

Education

The University of Texas at Austin
BS, Electrical Engineering
1999 — 2004

Skills

Snort
Fips 140-2
Microsoft Active Directory Administration
Cisco Routing & Switching
Silk Flow Tools
Vmware Esx and Workstation
Center for Information Security (Cis) Standards
C/C++
X86 Assembly
Netwitness Nextgen
Soc Operations
Disa Stig
Nist Guidelines and Special Publications
Linux System Administration
Nispom and Dss Odaa Hardening
Backtrack Linux and Metasploit
Cisco Firewall Security
Microsoft Windows Server Administration
Guidance Software Encase Forensic
Juniper Netscreen and Idp
Arcsight Esm
Tenable Security Center, Lce, Nessus
Rsa Securid Administration
Bash Scripting
Accessdata Ftk Imager
Python Scripting
Secret, Top Secret, and Ts/Sci Operating Environments

Contact information

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Work email
•••••@salt.security
Personal email
•••••@•••••.com
Direct dial
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Current company

Salt Security

Computer and Network Security · 207 employees · Founded 2018 · Palo Alto, California, United States

Salt Security developed the industry’s first Agentic Security Platform, designed to secure the new digital infrastructure created by LLMs, AI agents, MCP servers, and APIs. As organizations deploy autonomous agents that reason, decide, and act across enterprise systems, the traditional security perimeter breaks down. Agents do not just think, they act. They call APIs, trigger workflows, write to databases, and execute tasks across your infrastructure. The moment an agent decides to do something, it leaves the model layer entirely and enters your enterprise systems. That is the action layer. And right now, most security teams have almost no visibility into it. The modern enterprise runs on an Agentic AI action layer where LLMs provide the reasoning, MCP servers provide the connectivity, and APIs are the buttons and levers that turn agent decisions into real-world consequences. Securing the model without securing the action layer is not a security strategy, it is a gap. Salt provides continuous visibility and protection across this architecture through the Agentic Security Graph—a correlated view of agents, MCP servers, APIs, and downstream systems that draws from four distinct data sources: external exposure, configuration posture, code-level signals, and live runtime traffic. By combining cloud-scale big data, patented AI/ML, and deep behavioral analysis, Salt detects the subtle attack patterns traditional tools miss, including business logic abuse, lateral movement, and low-and-slow attacks that pass prompt filters cleanly and only reveal themselves at the action layer. The Salt platform enables organizations to: • Discover all APIs, MCP servers, shadow deployments, and agent-connected services • Govern posture across distributed agentic environments • Detect and stop behavioral attacks in real time • Understand how AI agents interact with sensitive systems and data • Reduce risk while accelerating AI adoption

salt.security

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Experience

Solutions Engineer

Education

The University of Texas at Austin

Skills

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