Safety Alignment for LLMs

    Your AI's immune system

    Think Anti-Virus for AI. Think Safety. Think Alignment.

    AI Risks PreventionAutonomous Self-Improvement

    30M+ daily interactions safeguarded

    No playbook for when it spreads

    Agents
    Web researcher← poisoned pageA1
    SummarizerA2
    Finance agentA3
    Ops agentA4
    ReporterA5
    ToolsContagion R₀ 1.00
    Vector database
    Shared SQL store
    Code runner
    01 · shared tools · 0/5 agents

    Every agent reaches for the same shared tools.

    Your AI is Vulnerable

    Until you guard it.

    Prompt Hijacked.

    One crafted input. Total compromise.

    System Prompt Stolen.

    Months of IP leaked in a single conversation.

    Unauthorized Actions.

    Your agent approved a loan it shouldn't have.

    Regulatory Exposure.

    DPDP, RBI, India AI. Your LLM isn't ready.

    Context Poisoned.

    One tainted source - RAG, data, tool, or agent - rewrites every answer downstream.

    Shadow AI Everywhere.

    Your employees use personal or free AI tools - leaking sensitive documents to competitors and bad actors.

    AutoLLM Fixes This

    Adversarial Red-Teaming

    Chaos Probe runs 2500+ attack batteries against your LLM before attackers do.

    Prompt Shield

    System prompts cloaked. Exfiltration attempts flagged in real time.

    Action Firewall

    Every tool call, every API invocation - policy-checked before execution.

    PII Round-Trip Redaction

    Sensitive data stripped before it reaches the model. Restored only in the final response to the right user.

    Context Integrity

    Poisoned documents, malicious retrievals, tainted tools or agents - detected and quarantined across RAG, data, and tool layers.

    Regulator Mode

    Supports DPDP compliance - on-prem, data never leaves your premises. RBI and EU AI Act controls mapped to your LLM stack. Full audit trail included.

    Two Products. Complete LLM Protection.

    Audit your vulnerabilities. Then seal them shut.

    Chaos Probe

    Pen-test your LLM before attackers do.

    Automated LLM penetration and stress testing. 2,500+ known attack techniques as the seed, thousands of novel variants generated per run.

    ChaosProbeGPT - automated attack generation
    A fine-tuned adversarial model that fuzzes your LLM with novel prompt injections, jailbreaks and data-leak attempts at scale.
    Chakravyuh - agentic red-teaming
    An AI red-teamer that runs multi-turn attack campaigns, learns how your agent responds and adapts - like a human pen-tester, at machine speed.
    Compliance-mapped findings
    Every vulnerability is mapped to RBI FREE-AI, DPDP, SEBI and the EU AI Act, and delivered as an audit-ready report.
    Controlled, like any pen-test
    Runs in your environment, only against endpoints you authorise, with every request logged.
    LLM pen-testingStress testingMulti-turn red-teamingCI/CD integrationAudit-ready report
    Chaos Probe Audit Report
    Run: March 06, 2026, 14:32 UTC
    Scanning · 0 seeds · 0 variants
    Risk Score
    0 / 100
    HIGH
    Critical
    Prompt Injection via System Role Override
    Attacker can overwrite system prompt through user input concatenation
    Unresolved
    Critical
    Data Exfiltration via Indirect Injection
    Embedded instructions in retrieved context leak PII to external endpoints
    Unresolved
    High
    Jailbreak: DAN Variant Detected
    Model can be coerced into ignoring safety guidelines via role-play prompt
    Flagged
    Medium
    Excessive Agency in Tool Calling
    Model invokes external APIs without user confirmation under certain prompts
    Flagged
    Mapped to: RBI FREE-AI · DPDP · SEBI · EU AI Act - 4 controls affected
    How it fits together

    One flywheel. Test, protect, learn, monitor.

    Every flagged payload makes Prompt Shield sharper. Every new attack from Chaos Probe keeps the wheel turning.

    01Chaos Probe
    LLM pen-testing
    ChaosProbeGPT and Chakravyuh generate and run attacks against your LLM. Findings seed what Prompt Shield watches for.
    02Warden · Prompt Shield
    Watches every LLM call
    Integrates as an SDK, a sidecar or an on-prem proxy LLM server. Flags attacks in the request path.
    03Human-in-the-loop
    Review flagged payloads
    Analysts iterate on flagged traffic - lowering false positives and raising attack recall across every category.
    04Dashboard
    Monitor drift and intent
    Data and concept drift via Population Stability Index. Sentiment on user data. Intent anomaly detection across traffic.
    New attacks from Chakravyuh & ChaosProbeGPT feed the next cycle

    Both products. One platform. 30M+ daily interactions safeguarded.

    See customer micro-reports

    Trusted at Scale. Built for Enterprise.

    Vendor-neutral. Companies scale LLMs and agents feeling safe, confident and under control

    NBFC
    103
    Attacks Blocked
    51K
    Threats Observed
    "With LLMs being non-deterministic, the attack surface was far beyond anything we had seen in traditional software. We only discovered notorious users abusing our public chat interface when AutoLLM opened our eyes to the attacks, exposing brand defamation and performance degradation attempts against our loan-assistant agent that were driving customer churn."
    KR
    Karthik Rajendran
    VP of Technology
    Financial Services
    63
    Attacks Blocked
    18.7K
    Threats Observed
    "We put AutoLLM in the request path of our bank voicebot integration and the latency overhead barely registers - under ten milliseconds on average. Securing it with their on-premise, code-based integration turned out to be the easiest part of the rollout."
    D
    Devesh
    CTO, Creditas
    Bank
    350
    Attacks Blocked
    81.2K
    Threats Observed
    "Our biggest concern was compliance exposure when the assistant began drifting into guidance that clearly required a human credit officer. AutoLLM helped us uncover those risky patterns early, tighten safeguards, and protect both customer trust and operational integrity without compromising privacy."
    DMA
    Dr. Meera Agarwal
    VP, Digital Risk

    Proven Autonomous AI Safety Alignment

    Consistent results across NBFCs, banks, financial services, and more

    5K+
    Attacks Blocked
    Malicious attacks neutralized before brand damage
    100K+
    Threats Observed
    Persistent adversarial activity identified across production deployments

    Enterprise-Grade Security & Compliance

    Your data never leaves your environment. Built for the most security-conscious enterprises.

    Maximum Security by Design

    Air-Gapped Deployment

    Complete isolation from external networks ensures zero data exfiltration risk

    End-to-End Encryption

    AES-256 encryption for data at rest and in transit with customer-managed keys

    Zero Data Visibility

    AutoLLM processes your data without any visibility or access to content

    Enterprise Access Controls

    Role-based access with multi-factor authentication and audit logging

    Flexible Deployment Options

    On-Premises

    Complete air-gapped installation within your data center
    • Zero external connectivity required
    • Customer-controlled infrastructure

    Hybrid Cloud

    Secure cloud deployment with on-premises data processing
    • Data processing stays local
    • Cloud management interface

    Private Cloud

    Dedicated cloud environment with enterprise controls
    • Isolated cloud tenancy
    • Enhanced compliance features

    Complete Data and Assets Privacy

    Your data remains yours. Your models remain yours. We guarantee zero data visibility, complete model privacy, and full control over your AI operations with enterprise-grade security.

    Need Custom Fine-Tuning or On-Premises Deployment?

    Get enterprise-grade security with complete data control. Custom fine-tuning and on-premises deployment available for Enterprise customers.