5 Best AI Security Platforms to Prevent Prompt Injection AttacksLessons from the “Atlas”-style Jailbreaks

By CyberDudeBivash · GenAI Security · Updated: Oct 26, 2025 · Apps & Services · Playbooks · ThreatWire

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TL;DR 

• Lakera (now part of Check Point) — Real-time prompt-injection & jailbreak defense with developer-friendly guards and testing.
• Protect AI — LLM Guard — Open & modular sanitization/redaction pipelines for prompts and responses; easy to wire into apps.
• HiddenLayer — Runtime defenses across LLM threats (prompt injection, unsafe agent actions) aligned to MITRE ATLAS/OWASP.
• Robust Intelligence — Risk & guardrail evaluations + reference architectures to bake security into GenAI apps.
• Cranium — Governance-plus-security with org-wide AI inventory, controls, and agent safety features.

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Disclosure: We may earn commissions from partner links. Hand-picked by CyberDudeBivash.Table of Contents

1. Why Prompt Injection Keeps Winning (and What to Buy)
2. Top 5 AI Security Platforms (2025)
3. Reference Stack: What “Good” Looks Like
4. 14-Day Rollout Plan
5. FAQ

Why Prompt Injection Keeps Winning (and What to Buy)

Prompt injection is social engineering for machines: attackers craft inputs that hijack instructions, exfiltrate data, or make agents run risky tools. Your controls must filter inputs/outputs, constrain privileges, and validate behavior at runtime—mapped to OWASP LLM Top 10 and MITRE ATLAS. The platforms below help you do exactly that while minimizing app changes.

Top 5 AI Security Platforms (2025)

1) Lakera (Check Point) — Real-Time Prompt Injection & Jailbreak Defense

Why we like it: developer-friendly guards, policy packs for jailbreaks, and runtime detection with minimal code change. Great for customer-facing chat, support, and agent apps.

• Best for: SaaS & consumer apps needing low-latency guardrails.
• Standout: real-time filters for prompt injection/jailbreaks; continuous updates.
• Mind the gap: pair with your IAM & data governance; no single tool can stop every jailbreak.

Visit Lakera →

2) Protect AI — LLM Guard (Open & Modular)

Why we like it: a well-documented suite to sanitize/redact prompts & responses, enforce policies, and log violations. Easy to put in front of your API or app server.

• Best for: Teams that want transparent, auditable pipelines with OSS DNA.
• Standout: detectors for secrets, PII, jailbreak text, and prompt-leakage patterns.
• Mind the gap: tune thresholds to reduce friction for power users.

Explore LLM Guard →

3) HiddenLayer — Runtime Defenses for LLMs & Agents

Why we like it: broad coverage across prompt injection, unsafe agent actions, data poisoning, and model theft—mapped to ATLAS & OWASP.

• Best for: Enterprises running agentic workflows and code assistants.
• Standout: research-driven detections; case studies on agent hijacking.
• Mind the gap: requires careful integration with CI/CD and observability.

See HiddenLayer →

4) Robust Intelligence — Guardrails, Testing & Reference Architectures

Why we like it: mature risk testing and “secure-by-design” blueprints for LLM apps; strong fit for regulated sectors and platform teams.

• Best for: Central AI platform teams standardizing controls across products.
• Standout: prebuilt evaluations for prompt injection & output policy violations.
• Mind the gap: plan a full enablement sprint with app owners.

Reference Architectures →

5) Cranium — Governance + Security for the Whole AI Estate

Why we like it: inventory, policies, and controls for models, data, and agents—useful when you need “single-pane” governance with security hooks.

• Best for: Enterprises aligning AI safety with compliance & risk management.
• Standout: org-wide AI visibility; agent safety features rolling out.
• Mind the gap: pair with dedicated runtime filtering for low-latency apps.

Cranium Platform →

Reference Stack: What “Good” Looks Like

1. Input/Output Gate — sanitize prompts & responses (PII/secret redaction, jailbreak filters), block tool invocations on policy breach.
2. Policy Brain — OWASP LLM Top 10 mapping, least-privilege for agents & tools, rate-limits, memory scoping.
3. Observability — capture prompts, responses, tool calls, and decisions (forensics + drift).
4. Testing Loop — automated red teaming against real apps; track pass/fail on jailbreak suites.
5. Governance — inventory models/agents, risk register, approvals, and audit trails.

Pro Tip: No product blocks every jailbreak. Combine runtime filters + narrow permissions + continuous testing, and assume occasional model misbehavior.

14-Day Rollout Plan

Days 1–3 — Baseline & Gaps

• Inventory LLM apps/agents, tools they can call, data they can read.
• Map risks to OWASP LLM Top 10; choose a gate (Lakera/LLM Guard/HiddenLayer).

Days 4–7 — Pilot the Gate

• Put the filter in front of your most-used app path; start in monitor mode, then block high-confidence patterns.
• Enable secrets/PII scrubbing; add allow/deny lists for tools and URLs.

Days 8–10 — Add Testing & Observability

• Run automated jailbreak suites; track pass/fail and latency impact.
• Stream prompts/responses into your SIEM/XDR with minimal retention needed for forensics.

Days 11–14 — Expand & Govern

• Roll to remaining apps; tune thresholds per user cohort.
• Adopt governance (Cranium) for inventory, approvals, and org-wide policy.

Need Hands-On Help? CyberDudeBivash Can Deploy This Stack

• Threat modeling & OWASP mapping
• Guardrail pilot (Lakera/LLM Guard/HiddenLayer)
• Red-team tests & SOC integrations

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FAQ

Do these platforms eliminate prompt injection?

No single control eliminates it. You’ll reduce risk by combining runtime filtering, least-privilege agents, and continuous testing—then monitoring blast radius.

How should I compare latency impact?

Measure 95th-percentile added latency on your top 3 user flows. Target <70 ms for consumer chat, <120 ms for enterprise apps.

What standards should I align to?

Use OWASP LLM Top 10 for app risks, MITRE ATLAS for tactics/techniques, and your cloud’s TRiSM/AI policies for governance.

CyberDudeBivash — Global Cybersecurity Brand · cyberdudebivash.com · cyberbivash.blogspot.com · cyberdudebivash-news.blogspot.com

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