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Expert AI Security Services

Beyond the Platform — Hands-On AI Security Expertise

Our team of AI security researchers, adversarial testing specialists, and enterprise security veterans deliver hands-on engagements that harden your AI systems from the inside out. Every service is grounded in real-world attack research and delivered by practitioners who have disclosed critical vulnerabilities to Google, the United Nations, and the World Health Organization.

AI Red Teaming Architecture Review Compliance & Governance Vulnerability Assessment Managed AI Security
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Service 01

AI Red Teaming

Adversarial assessment of your LLM systems, copilots, and AI-powered applications by our offensive security researchers.

Our red team engagements treat your AI system the way a sophisticated adversary would — probing for prompt injection surfaces, jailbreak sequences, multi-turn coercion pathways, RAG exfiltration vectors, and tool abuse chains. We use real-world attack techniques combined with CoreLayer Striker's 2,000+ payload library, supplemented by custom payloads developed specifically for your deployment. Every finding includes a proof-of-concept demonstration, risk rating, and actionable remediation guidance.

What's Included
Prompt Injection & Jailbreak TestingSystematic testing of injection surfaces, role confusion attacks, and instruction override sequences across all input vectors.
Multi-Turn Adversarial SimulationAdaptive attack sequences that escalate based on model responses — mirroring real attacker persistence patterns.
RAG Pipeline ExploitationRetrieval-layer attack testing including data poisoning, cross-tenant leakage, and embedding manipulation.
Agent Capability EscalationTool abuse, privilege escalation, and capability boundary testing for autonomous agent deployments.
OWASP LLM Top 10 Full AssessmentSystematic coverage of all ten vulnerability classes with evidence-backed findings and CVSS-equivalent risk ratings.
Executive Risk ReportBoard-ready risk summary with business impact analysis, attack timeline, and prioritised remediation roadmap.
Deliverables
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Technical Findings Report
Full vulnerability documentation with proof-of-concept, risk rating, OWASP mapping, and remediation steps.
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Attack Scenario Playbook
Documented attack chains your team can reproduce internally for training and regression testing.
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Executive Risk Summary
Business-language risk summary with impact analysis and prioritised remediation roadmap for board reporting.
Engagement Model
1–2
Week Engagement
Remote
or On-Site Delivery
Full
OWASP LLM Coverage

Find your AI vulnerabilities before adversaries do

Our red team has disclosed critical vulnerabilities to Google, the United Nations, and the World Health Organization.

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Service 02

AI Security Architecture Review

End-to-end architecture assessment of your AI deployment — from model selection and prompt design to RAG pipeline security, tool integration, and runtime controls.

Most AI security problems are architectural — they stem from design decisions made early in the deployment lifecycle that create systemic vulnerabilities. Our Architecture Review examines your entire AI stack through a security lens: how prompts are constructed and stored, how retrieval is scoped and isolated, how tools are authorised and bounded, how runtime behaviour is monitored, and how the system degrades safely under attack. We produce a hardened architecture blueprint your engineering team can implement directly.

What's Included
Secure Deployment Architecture DesignCurrent-state assessment and target-state architecture design with security controls mapped to each component.
Threat Model for Your AI StackCustom threat model identifying attack surfaces, threat actors, likely attack paths, and control gaps for your specific deployment.
Guardrail Configuration & HardeningSystem prompt hardening, tool permission boundary design, output validation rule specification, and monitoring configuration.
Policy-as-Code ImplementationCoreLayer Shield LCAC policy design for your identity model, context boundaries, and tool authorisation requirements.
RAG Security ArchitectureVector DB isolation design, embedding scope boundaries, retrieval parameter safety, and cross-tenant separation architecture.
Deployment Readiness CertificationFormal certification report confirming the architecture meets security requirements before production go-live.
01
Discovery
Architecture intake, stack review, threat actor profiling
02
Assessment
Control gap analysis, threat modelling, risk mapping
03
Design
Hardened architecture blueprint and policy specification
04
Certify
Deployment readiness certification and handover

Build your AI security architecture on solid foundations

Get a hardened architecture blueprint your engineering team can implement directly — not just a list of problems.

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Service 03

AI Compliance & Governance

Map your AI systems to global compliance frameworks and build the governance infrastructure needed for defensible board-level AI risk reporting.

AI compliance is no longer optional — GDPR enforcement now covers AI systems, the EU AI Act creates binding obligations for high-risk deployments, and regulators in banking, healthcare, and finance are issuing AI-specific guidance. Our compliance team maps your AI deployments to every relevant framework, identifies control gaps, and builds the governance infrastructure — policies, evidence generation workflows, audit trails, and reporting mechanisms — that makes AI risk defensible at board level.

Frameworks Covered
HIPAA AI ControlsPHI handling in AI systems, clinical AI audit trail requirements, and patient data protection controls.
GDPR & EU AI ActData subject rights in AI contexts, high-risk AI system obligations, and transparency requirement implementation.
PCI DSS AI ControlsPayment data handling in AI workflows, cardholder data environment AI access controls, and audit requirements.
ISO 27001 AI AnnexInformation security controls for AI systems aligned to ISO 27001:2022 Annex A requirements.
NIST AI RMFGap assessment against all four NIST AI RMF functions (Map, Measure, Manage, Govern) with implementation roadmap.
RBI / SEBI AI GuidelinesIndian financial sector AI regulatory compliance for BFSI deployments including RBI's AI governance framework.
Deliverables
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Compliance Gap Report
Framework-by-framework gap analysis with control mapping, evidence requirements, and remediation priorities.
Governance Framework
AI governance policies, risk appetite statement, incident response procedures, and board reporting templates.
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Continuous Evidence Pipeline
Automated evidence generation workflows using CoreLayer platform data for ongoing compliance reporting.

Make AI risk defensible at board level

From HIPAA to EU AI Act — we map your AI deployments to every framework that applies to your business.

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Service 04

LLM Vulnerability Assessment

Systematic vulnerability discovery across your entire LLM estate — combining static analysis, adversarial testing, and runtime behavioural assessment in one comprehensive report.

Our LLM Vulnerability Assessment is the fastest way to get a complete security picture of your AI deployment. We combine CoreLayer Radar's static prompt analysis, Striker's adversarial testing, and Vault's deployment validation into a single structured engagement — covering your entire LLM estate from system prompts to RAG pipelines to runtime configuration. The output is a severity-ranked vulnerability list with remediation priorities and a Secure Deployment Score your team can track over time.

Assessment Scope
Static Prompt & Template AnalysisAST-style parsing of all system prompts, agent configs, and tool definitions with 9+ security rules applied.
Automated Adversarial Testing2,000+ payload adversarial simulation covering all OWASP LLM Top 10 categories with CVSS-equivalent severity scoring.
RAG Pipeline Security ValidationVector DB configuration audit, retrieval parameter safety check, embedding scope review, and cross-tenant isolation test.
Guardrail & Configuration ReviewPre-deployment checklist validation: prompt hardening, tool permissions, output validation, monitoring configuration.
Severity-Ranked Finding ReportAll findings ranked by severity (Critical / High / Medium / Low) with OWASP mapping, exploit description, and patch guidance.
Secure Deployment Score0–100 composite score with component breakdown — a measurable baseline your team can improve and track over time.
Engagement Model
3–5
Day Engagement
0–100
Secure Deployment Score
Full
Remediation Roadmap

Get a complete vulnerability picture of your AI estate

Static analysis + adversarial testing + runtime review — in one structured 3–5 day engagement.

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Service 06

Managed AI Security (MASec)

Continuous managed security for your AI systems — ongoing monitoring, threat intelligence, incident response, and quarterly security posture reviews by our expert team.

For organisations that want the full benefit of CoreLayer's expertise without building an internal AI security team, MASec delivers continuous managed security as a service. Your dedicated CoreLayer security engineer monitors your AI systems around the clock, responds to runtime anomalies and incidents, keeps your attack payload library current, and delivers quarterly posture reviews with evidence packs for compliance reporting. You get senior AI security expertise on-call without the hiring burden.

What's Included
24/7 Runtime Anomaly MonitoringContinuous monitoring of CoreLayer Shield telemetry with alert triage, investigation, and escalation by our security team.
Monthly Attack Payload UpdatesCoreLayer Striker payload library updated monthly with new attack techniques sourced from our ongoing adversarial research.
AI Incident ResponseDedicated incident response capability for AI-specific threats — from prompt injection campaigns to model behavioural drift incidents.
Quarterly Posture ReviewsStructured quarterly review covering security posture trend, new threat landscape updates, control effectiveness assessment, and compliance evidence pack.
Dedicated CoreLayer Security EngineerA named senior security engineer who understands your environment, knows your systems, and is reachable when you need them.
Compliance Evidence GenerationMonthly compliance evidence packs for all relevant frameworks — ready for internal audit, external audit, or regulator requests.
Service Tiers
24/7
Runtime Monitoring
Monthly
Payload & Threat Updates
Quarterly
Posture Reviews

Get senior AI security expertise on-call

MASec gives you a dedicated CoreLayer security engineer without the hiring burden. Discuss your requirements with our team.

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Why CoreLayer Services

What makes our services different

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Research-Led Practice
Our team has disclosed critical vulnerabilities to Google's Android Security Team, the United Nations, the World Health Organization, and IRCTC. We bring the same rigour to client engagements that produces real-world vulnerability discoveries.
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Platform-Integrated
Every service engagement is backed by CoreLayer's platform. Red team findings become Radar scanner rules. Architecture reviews produce Shield LCAC policies ready to deploy. Compliance engagements plug directly into Vault's evidence generation pipeline.
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AI-Native Methodology
We don't apply traditional penetration testing methodology to AI systems. Our engagement frameworks are purpose-built for LLM attack surfaces — covering prompt injection, behavioral drift, RAG exploitation, and agentic threat vectors that general security firms miss.
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Actionable, Not Theoretical
Every engagement produces artefacts your team can act on immediately — hardened prompt templates, deployable YAML policies, ready-to-run Striker configurations, and compliance evidence packs. We measure success by what changes after we leave.
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India-Built, Globally Aligned
Founded in Chennai with deep understanding of Indian regulatory requirements (RBI, SEBI, DPDP) alongside global frameworks (GDPR, HIPAA, NIST AI RMF). We cover the compliance landscape your international enterprise actually operates in.
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Continuous Improvement Loop
Our services don't end at report delivery. Findings feed back into your CoreLayer platform configuration, creating a continuous improvement loop where each engagement makes your ongoing platform protection stronger and more targeted.