188 Signals

Agentic AI Security Readiness and Red-Team Service

A productized security engagement that threat-models, tests, and hardens enterprise LLM apps, copilots, and agentic workflows before production launch.

Added Jul 6, 2026

AI security

cybersecurity consulting

agent governance

Opportunity Score

Opportunity: High (81%)

Evidence Strength

Vol: 100%

Urg: 84%

Spec: 84%

Market Analysis

medium

The Problem

Enterprises are rapidly adding LLM features, internal copilots, AI coding tools, RAG systems, and autonomous agents to production workflows. Security teams now need to assess prompt injection, data leakage, excessive agency, tool abuse, model supply-chain risk, and AI governance controls, but most teams do not yet have mature methods or staff for this work. The pain is concrete around launch reviews, SOC automation, AI-assisted developer workflows, customer security reviews, and regulated AI deployments.

Potential Solution

Start as a productized consulting and managed security service: run a fixed-scope AI security assessment for one production or pre-production AI workflow, then deliver a threat model, abuse-case test plan, red-team findings, control recommendations, and implementation support. The service can include lightweight tooling for prompt-injection tests, agent permission review, sensitive-data flow mapping, eval harnesses, and evidence packages aligned to OWASP LLM Top 10, NIST AI RMF, MITRE ATLAS, ISO/IEC 42001, and customer compliance needs. Over time, recurring engagements can become a managed AI security program with quarterly retesting and launch-gate reviews.

Why Now?

The hiring signals show many companies creating new AI security, AI GRC, AI red-team, and AI SecOps roles at the same time. Agentic workflows, AI coding tools, and enterprise copilots are moving from experiments into production, creating urgent review and governance work before internal security teams have standardized playbooks.

Showing 1-20 of 20 signals

AI Security Developers (Python)

purview-asia-pacific-pte-ltd-202024740dJul 28, 2026

Build solutions that enhance the firm’s security posture across LLM applications, AI agents, developer workflows, and enterprise AI infrastructure. Collaborate with security, infrastructure, platform engineering, cloud, and application development teams to deliver secure and production-ready AI capabilities.

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Senior Security Engineer

arqJul 8, 2026

Assess and secure AI/agentic workflows across the company — reviewing prompts, preventing destructive actions, and controlling data exposure Establish and run the vendor security assessment process — building a scalable due diligence framework for third-party onboarding

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Staff Security Software Engineer, AI Security Engineering

databricksJul 8, 2026

Drive technical strategy for AI red-teaming tooling: automated adversarial testing platforms that simulate how real attackers attempt to abuse Databricks' AI systems Serve as the technical authority on AI security engineering for the Product Security, SITH, IR, and ConMon teams — ensuring that AI security tooling outputs integrate cleanly into their workflows and meet their detection and assessment needs

embedding

GSOC Lead, EMEA

metaJul 6, 2026

Experience deploying or optimizing AI-assisted tools within a security operations or threat monitoring context Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

seed

Network Software Test Engineer I

hpeJul 6, 2026

Interest or practical coursework in AI/ML tools (LLMs, pretrained models) and eagerness to apply AI to testing workflows and prompt engineering. Basic cybersecurity awareness and motivation to include secure configuration and threat-informed checks in testing.

seed

+17 more signals