Stronghold Security AI

Real-time security for the human-agent workforce

Defend against insider threats, prompt injection, and social engineering across your human-agent workforce. Stronghold learns every user and AI agent in your environment and detects anomalous behaviour in real time.

Attackers exploit your AI agents.
Your security team should see it first.

Legacy SIEM tools don't catch the compromised AI agent exfiltrating data through tool calls, or the social engineering attack unfolding inside a chat session. Stronghold monitors every human user and AI agent in your environment, learns their behavioural baselines, and scores deviations in real time. Available across all major AI providers. Fully configurable.

stronghold — detection-engine
[14:23:07] baseline_check user:sarah.chen session:4a8f... NORMAL
[14:23:12] baseline_check agent:gpt-4-sales session:7b2c... NORMAL
[14:23:18] anomaly_detected agent:gpt-4-sales session:7b2c... ⚠ ELEVATED
→ token_velocity 340% above baseline
→ tool_call_pattern: unusual sequence detected
→ risk_score: 78/100 → containment: LEVEL 2 (rate_limit)
[14:23:19] response_engine action:rate_limit target:gpt-4-sales EXECUTED
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The Stronghold Platform

Monitor everything. Not just endpoints.

Real-time behavioural analytics across your entire human-agent workforce

From session anomalies and prompt injection detection to deepfake identification and insider threat scoring. Fully configurable per tenant.

AI agent behavioural monitoringPrompt injection detectionDeepfake & social engineering defence
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Workforce OverviewLast 24h
Active Entities
2,847
↑ 4.2%
Anomalies (24h)
23
3 elevated
Avg Risk Score
34
agent:gpt-4-sales78
user:m.rivera52
agent:claude-ops31

Detection that adapts to your environment. Because it learns it.

Statistical, sequence-based, and ML-driven anomaly detection built from your organisation's real behavioural data. Adaptive thresholds that scale with each user and agent. Multichannel coverage that mirrors how real adversaries operate.

Z-score, IQR & Mahalanobis distanceMarkov chain & n-gram sequence analysisReal-time 0–100 risk scoring
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gpt-4-sales
Risk Score 78 / HIGH
Token velocity anomaly
Unusual tool call sequence
Off-baseline session timing

Move way beyond traditional alerting

Stronghold delivers continuous, behaviour-driven risk scores that actually change how your security team responds to threats.

Track risky user & agent eventsContainment triggered by real behaviourRisk-based scoring that scales
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Risk Trend — Last 6 Weeks
W1W2W3W4W5W6
Humans
Agents

Complete AI workforce security coverage

They gave you a SIEM.
We learn your workforce.

01
Personalised baselines

Stronghold builds behavioural profiles from your users, agents, and sessions. Every baseline is unique. Ready in 30 days. Continuously updated.

02
Hyper-accurate detection

Statistical anomalies. Sequence deviations. Social engineering patterns. Every detection built from your real organisational context. No generic rules.

03
Risk mitigation

Composite risk score tracking and automated remediation, covering anomalies, social engineering, coordination exploits, and insider behaviour. Continuous.

How it works

From install to detection in three steps

01

Install the SDK

Stronghold's lightweight SDK wraps your existing AI provider calls and extracts telemetry automatically. No changes to your agent logic required.

02

Baselines build themselves

Over a 30-day learning period, Stronghold profiles every user and agent in your environment. Session timing, token patterns, tool usage, and more.

03

Detection goes live

Statistical, sequence-based, and ML-driven anomaly detection runs in real time against learned baselines. Alerts flow to your dashboard. Containment executes automatically.

Get Started with Stronghold

See how Stronghold detects anomalous behaviour, scores risk, and automates containment across your human-agent workforce.