Home/Compare/last_layer vs fast-llm-security-guardrails

Comparison

last_layer vs fast-llm-security-guardrails

Verdict

Pick last_layer if an ultra-fast Python tool for detecting prompt injections and jailbreak attempts in large language models suitable for projects requiring rapid security evaluations, with low-latency performance; pick fast-llm-security-guardrails if fast-llm-security-guardrails, also known as ZenGuard, is designed for the rapid deployment of security measures into AI agent systems to ensure they operate within defined trust constraints.

Markdown twin · last_layer alternatives · fast-llm-security-guardrails alternatives

GraphCanon updated Sep 20, 2026

last_layer logo

last_layer

arekusandr/last_layer

133pushed Jul 26, 2024
vs
fast-llm-security-guardrails logo

fast-llm-security-guardrails

ZenGuard-AI/fast-llm-security-guardrails

155pushed Feb 3, 2026

Trust & integrity

Signallast_layerfast-llm-security-guardrails
Maintenance
Dormant (780d since push)
As of Sep 14, 2026 · github_public_v1
Slowing (222d since push)
As of Sep 14, 2026 · github_public_v1
Provenance
Not a fork · Personal account
As of Sep 14, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 14, 2026 · github_public_v1
OSV dependency advisories
Published findings
As of Jul 15, 2026 · osv@v1
Published findings
As of Jul 15, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

last_layer
Ultra-fast low latency LLM prompt injection jailbreak detection
fast-llm-security-guardrails
The fastest Trust Layer for AI Agents

Stars

last_layer
133
fast-llm-security-guardrails
155

Forks

last_layer
6
fast-llm-security-guardrails
21

Open issues

last_layer
13
fast-llm-security-guardrails
0

Language

last_layer
Python
fast-llm-security-guardrails
Python

Adopt for

last_layer
An ultra-fast Python tool for detecting prompt injections and jailbreak attempts in large language models suitable for projects requiring rapid security evaluations, with low-latency performance.
fast-llm-security-guardrails
fast-llm-security-guardrails, also known as ZenGuard, is designed for the rapid deployment of security measures into AI agent systems to ensure they operate within defined trust constraints.

Persona

last_layer
-
fast-llm-security-guardrails
-

Runtime

last_layer
-
fast-llm-security-guardrails
-

License

last_layer
MIT
fast-llm-security-guardrails
MIT

Last pushed

last_layer
Jul 26, 2024
fast-llm-security-guardrails
Feb 3, 2026

Categories

last_layer
Evaluation & Observability
fast-llm-security-guardrails
AI Agents, Evaluation & Observability

Trust and health

Maintenance

last_layer
Dormant (18%)
fast-llm-security-guardrails
Slowing (36%)

Days since push

last_layer
780d
fast-llm-security-guardrails
222d

Open issues (now)

last_layer
13
fast-llm-security-guardrails
0

Stars delta

last_layer
+2 (30d)
fast-llm-security-guardrails
+1 (30d)

Owner type

last_layer
User
fast-llm-security-guardrails
Organization

Full report

last_layer
Trust report
fast-llm-security-guardrails
Trust report

Shared compatibility

  • Python · last_layer: Python runtime · fast-llm-security-guardrails: Python runtime

Choose last_layer if…

  • Tags unique to last_layer: chatgpt-prompts, jailbreak, large-language-models, llm-local.
  • When you need fast detection of potential security vulnerabilities due to unauthorized prompt manipulations in real-time scenarios involving LLMs

When NOT to use last_layer

  • If your application does not require ultra-low latency detection and can afford slower, potentially more comprehensive security evaluations
  • For environments that prefer a broader range of security features beyond prompt injection detection, as last_layer focuses specifically on this aspect with speed in mind

Choose fast-llm-security-guardrails if…

  • Tags unique to fast-llm-security-guardrails: agentic-ai, ai-agent, ai-agents, ai-runtime.
  • Also covers AI Agents.
  • Fast integration of privacy and security guardrails in environments where real-time evaluation and observability are critical.

When NOT to use fast-llm-security-guardrails

  • If your project requires a more customizable solution than what fast-llm-security-guardrails offers in its out-of-the-box configurations.
  • For teams that operate without established runtime environments like LangChain or LlamaIndex, as this may necessitate significant adaptation of ZenGuard.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: last_layer 133 · fast-llm-security-guardrails 155 (synced Sep 20, 2026).

Common questions

What is the difference between last_layer and fast-llm-security-guardrails?
last_layer: Ultra-fast low latency LLM prompt injection jailbreak detection. fast-llm-security-guardrails: The fastest Trust Layer for AI Agents. See the comparison table for live GitHub stats and shared categories.
When should I choose last_layer over fast-llm-security-guardrails?
Choose last_layer over fast-llm-security-guardrails when Tags unique to last_layer: chatgpt-prompts, jailbreak, large-language-models, llm-local; When you need fast detection of potential security vulnerabilities due to unauthorized prompt manipulations in real-time scenarios involving LLMs.
When should I choose fast-llm-security-guardrails over last_layer?
Choose fast-llm-security-guardrails over last_layer when Tags unique to fast-llm-security-guardrails: agentic-ai, ai-agent, ai-agents, ai-runtime; Also covers AI Agents; Fast integration of privacy and security guardrails in environments where real-time evaluation and observability are critical.
When should I avoid last_layer?
If your application does not require ultra-low latency detection and can afford slower, potentially more comprehensive security evaluations For environments that prefer a broader range of security features beyond prompt injection detection, as last_layer focuses specifically on this aspect with speed in mind
When should I avoid fast-llm-security-guardrails?
If your project requires a more customizable solution than what fast-llm-security-guardrails offers in its out-of-the-box configurations. For teams that operate without established runtime environments like LangChain or LlamaIndex, as this may necessitate significant adaptation of ZenGuard.
Is last_layer or fast-llm-security-guardrails more popular on GitHub?
fast-llm-security-guardrails has more GitHub stars (155 vs 133). Stars measure visibility, not whether either tool fits your constraints.
Are last_layer and fast-llm-security-guardrails open source?
Yes - both are open-source projects on GitHub (last_layer: MIT, fast-llm-security-guardrails: MIT).
Where can I find alternatives to last_layer or fast-llm-security-guardrails?
GraphCanon lists graph-backed alternatives at last_layer alternatives and fast-llm-security-guardrails alternatives (last_layer markdown twin, fast-llm-security-guardrails markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, last_layer or fast-llm-security-guardrails?
last_layer: Dormant. fast-llm-security-guardrails: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for last_layer and fast-llm-security-guardrails?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: last_layer trust report; fast-llm-security-guardrails trust report.

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