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NIST Compliance Services in India | CSF 2.0, SP 800-53 Rev 6, AI RMF — SIRI Law LLP
NIST Compliance Services · Hyderabad, India

NIST compliance services — alignment for government contractors and regulated entities.

NIST frameworks establish the benchmark for cybersecurity risk management, particularly for organisations working with US government agencies, defence-adjacent supply chains, or federal contracting relationships. SIRI Law LLP delivers NIST CSF 2.0, SP 800-53 Revision 6, and AI RMF alignment, with the newly merged Cyber AI Profile built into scope from the outset.

CSF 2.0Current framework version — 2 years old as of Feb 2026, still the operative standard
Rev 6SP 800-53's current revision, as of early 2026 — the most significant update since Rev 5
MergedCyber AI Profile now built into CSF 2.0's core Govern function, not a standalone addendum
5Core CSF functions — Govern, Identify, Protect, Detect, Respond, Recover
The NIST framework clock
Live tracking · scroll to see every relevant update
Published
2024
CSF 2.0 published, expanding scope beyond critical infrastructure to organisations of all sizes and adding the Govern function as a sixth core pillar.
Anniversary
24 FEB 2026
CSF 2.0 marks two years in force — NIST publishes the finalised SP 1308 Quick-Start Guide covering cybersecurity, ERM, and workforce management.
Major revision
EARLY 2026
SP 800-53 moves to Revision 6 — the most significant catalogue update since Rev 5 integrated privacy controls, adding automated verification and expanded supply chain controls.
Merged
DEC 2025 →
Cyber AI Profile drafted as a CSF 2.0 extension, then merged directly into the core framework by mid-2026 — AI dependency mapping now sits inside ordinary Govern-function scope.
Evolving
2025–2026
AI RMF continues shifting toward operational, sector-specific guidance rather than a formal "AI RMF 2.0" release — profiles for critical infrastructure now in development.
Ongoing
Live mapping
NIST continues publishing new Online Informative References mapping CSF 2.0 to other standards, including an OWASP LLM Top 10-to-CSF crosswalk published April 2026.

Getting the current framework state right

SP 800-53 quietly moved to Revision 6, and the Cyber AI Profile is no longer a separate document — it's built into CSF 2.0 itself.

NIST compliance content often references "SP 800-53" without a revision number, as if the standard were static. It isn't. SP 800-53 moved to Revision 6 in early 2026 — the most significant change to the control catalogue since Revision 5 integrated privacy controls directly alongside security controls. Revision 6 places new emphasis on automated control verification and expands supply chain risk management requirements, reflecting the same software-supply-chain concerns driving parallel changes across other frameworks this year. An organisation whose control mapping was built against Revision 5 should have that mapping actively reviewed, not assumed to still be current, particularly anywhere automated evidence collection or vendor risk controls are in scope.

The more structurally significant change is what's happened to AI-specific guidance. NIST began circulating a preliminary draft "Cyber AI Profile" for public comment in late 2025 and early 2026 — a CSF 2.0 extension addressing three angles of AI risk: securing AI components themselves, using AI defensively, and countering AI-augmented attacks. What's changed since is that NIST has merged this profile directly into the core Cybersecurity Framework rather than keeping it as an optional standalone addendum. As of mid-2026, the Govern function — the newest of CSF 2.0's six core functions — now explicitly expects organisations in scope to map AI dependencies and document model lineage (the origin and training data behind any deployed AI system) as part of ordinary CSF 2.0 alignment work, not as a separate AI-specific exercise bolted on afterward.

"AI RMF 2.0" still hasn't been formally released
Despite frequent references to an impending "AI RMF 2.0," NIST has not formally released one. What's actually happening is more incremental: the AI RMF is evolving toward operational, sector-specific implementation guidance — including a developing "Trustworthy AI Profile for Critical Infrastructure" — while its practical substance is increasingly absorbed into CSF 2.0 via the Cyber AI Profile merge described above. For most organisations, this means CSF 2.0 alignment work now largely subsumes what would once have required a separate AI RMF engagement.

For any organisation with an existing NIST-aligned control set, the practical takeaway is straightforward: a control mapping frozen at CSF 2.0's 2024 launch or SP 800-53 Revision 5 is not automatically wrong, but it is genuinely dated in two specific, checkable ways — Rev 6's supply chain and automation emphasis, and the Govern function's now-explicit AI dependency mapping requirement.

Which framework applies

Three NIST frameworks, three different purposes

Most organisations need one, not all three. We assess which combination fits your contractual and regulatory context.

Starting point

CSF 2.0

The overall risk management structure — Govern, Identify, Protect, Detect, Respond, Recover. Right starting point for most organisations, including those with no US federal relationship.

For federal contracting

SP 800-53 Rev 6

Specific, detailed control implementation. Relevant when you must demonstrate control-level compliance, typically for federal contracting or CUI-handling relationships.

Now largely merged into CSF 2.0

AI RMF / Cyber AI Profile

Relevant if you develop or deploy AI systems — increasingly addressed through CSF 2.0's Govern function directly, rather than as a standalone framework engagement.

Evidence, not guesswork

SP 800-53 Revision 5 vs. Revision 6 — what actually changed

If your control mapping predates early 2026, this is what needs review.

Dimension Revision 5 Revision 6
Headline change Privacy controls integrated directly into the security control catalogue Automated verification and expanded supply chain risk management
Evidence expectation Manual and automated evidence both accepted New emphasis on automated, continuously verifiable control evidence
Supply chain scope Baseline supply chain risk management controls Expanded controls addressing software component integrity specifically
Effective 2020, amended through 2023 Early 2026

Source: NIST SP 800-53 revision history, CSRC.nist.gov. Confirm the current released revision and applicable baseline (Low/Moderate/High impact) with your specific contracting authority before finalising a control mapping.

Scope of services

What our engagement covers

Framework selection, control implementation, evidence programme design, and ongoing alignment as NIST guidance evolves.

01

Framework Selection & Scoping

Assessment of which NIST framework — or combination — applies to your specific contractual and regulatory context, avoiding unnecessary duplicate effort.

02

CSF 2.0 Gap Assessment

Assessment across all six core functions — Govern, Identify, Protect, Detect, Respond, Recover — including the now-mandatory AI dependency mapping under Govern.

03

SP 800-53 Rev 6 Control Implementation

Control-by-control implementation and documentation against the current Revision 6 catalogue, including the expanded automated-verification and supply-chain requirements.

04

AI Governance & Model Lineage

Documentation of AI dependencies and model lineage to satisfy the Cyber AI Profile's now-merged requirements within CSF 2.0's Govern function.

05

Evidence Programme Design

Automated and manual evidence collection calibrated to current NIST expectations, avoiding the gap between a static control document and demonstrable operating evidence.

06

Cross-Framework Mapping

NIST alignment mapped alongside CERT-In, RBI, and DPDPA obligations, so Indian regulated entities avoid building duplicate, disconnected compliance programmes.

What the numbers actually mean

Four figures that frame NIST alignment today

6
CSF 2.0 core functions

Govern, Identify, Protect, Detect, Respond, Recover — Govern added in 2.0 as the newest, now carrying AI dependency mapping too.

Rev 6
Current SP 800-53 revision

Effective early 2026 — automated verification and expanded supply chain controls are the headline changes.

0
Formal "AI RMF 2.0" releases

Despite frequent references to one — the real shift is the Cyber AI Profile merging into CSF 2.0 directly.

2 yrs
CSF 2.0 in force

As of the February 2026 anniversary — still the current, operative framework version.

Our engagement process

How we work, step by step

01

Scoping & Assessment

Gap assessment against the applicable framework, engagement scope definition, and a prioritised remediation roadmap with timeline and effort estimates.

02

Programme Design

Control framework, documentation structure, evidence requirements, and governance processes tailored to your organisation, including current-revision AI evidence.

03

Implementation Advisory

Working alongside your technical and operational teams to build controls that are practical and auditable, not just theoretically compliant.

04

Internal Validation

An internal readiness assessment identifying any remaining gaps before external review, contracting submission, or attestation.

05

Attestation & Contracting Support

Managing documentation requests and evidence provision during federal contracting review or third-party assessment.

06

Post-Implementation Advisory

Ongoing monitoring of NIST guidance changes — revision updates, new Informative References, and evolving AI Profile requirements — so your programme doesn't quietly go stale.

Benefits & deliverables

What you get from this engagement

Framework Selection Memo

A clear recommendation on which NIST framework or combination applies to your specific contractual context.

CSF 2.0 Gap Report

Function-by-function assessment across all six core functions, including AI dependency mapping status.

SP 800-53 Rev 6 Control Matrix

Control-by-control implementation status against the current catalogue, ready for federal contracting review.

Model Lineage Documentation

Origin and training-data documentation for AI systems in scope, satisfying the merged Cyber AI Profile requirement.

Cross-Framework Crosswalk

A mapping showing how NIST controls align with CERT-In, RBI, and DPDPA obligations already in place.

Ongoing Update Advisory

Continued monitoring of NIST revision changes so the programme stays current as guidance evolves.

Integration advantage

NIST alignment backed by qualified legal counsel

Our compliance engagements ensure your programme satisfies both US federal expectations and Indian legal obligations under DPDPA, IT Act, and sector-specific regulation.

01 — Currency

We track revision changes, not just framework names

We flag when SP 800-53 moves revisions or when guidance like the Cyber AI Profile gets merged into the core framework, rather than leaving clients working from a control mapping that's quietly gone stale.

02 — Cross-mapping

NIST alongside Indian frameworks, not instead of them

Our legal team maps NIST controls against CERT-In, RBI, and DPDPA obligations simultaneously, avoiding the duplicate compliance work most standalone NIST consultants create for Indian entities.

03 — AI-aware

AI dependency mapping built in from the start

Since the Cyber AI Profile now sits inside CSF 2.0's Govern function, we scope AI dependency and model lineage documentation as part of the core engagement, not a separate add-on.

04 — Credentials

Certified engineers

Our team holds CCSP, CISM, CIPP/E, CEH, OSCP, CISSP, CPENT, and ISO 27001 Lead Auditor credentials, the mix that federal contracting reviewers and Indian regulators both expect to see.

Frequently asked

NIST compliance, answered directly

Is NIST compliance mandatory for Indian companies?

NIST frameworks are US federal standards, not mandatory under Indian law. However, Indian companies working with US government agencies, US federal contractors, or defence-adjacent supply chains often need to demonstrate NIST alignment contractually. Many Indian organisations also voluntarily adopt NIST CSF 2.0 as a comprehensive risk management framework independent of any US contractual requirement, since it maps cleanly onto CERT-In and RBI expectations.

Has SP 800-53 changed recently, and does that affect an existing programme?

Yes. SP 800-53 moved to Revision 6 in early 2026, the most significant update since Revision 5 integrated privacy controls directly into the catalogue. Revision 6 places new emphasis on automated control verification and expands supply chain risk management requirements. Organisations whose control mapping was built against Revision 5 should have that mapping reviewed rather than assumed to still be current, particularly where automated evidence collection or vendor risk controls are in scope.

What is the Cyber AI Profile, and is it now part of CSF 2.0 itself?

The Cyber AI Profile began as a preliminary draft NIST circulated for comment in late 2025 and early 2026, addressing AI-specific risks: securing AI components, using AI for defensive purposes, and countering AI-augmented attacks. As of mid-2026, NIST has merged the profile into the core Cybersecurity Framework rather than keeping it as a standalone addendum, meaning the Govern function now explicitly expects organisations to map AI dependencies and document model lineage, the origin and training data behind any AI system in scope, as part of ordinary CSF 2.0 alignment, not as optional supplementary guidance.

Which NIST framework should we start with?

CSF 2.0 is the right starting point for most organisations — it provides the overall risk management structure. SP 800-53 becomes relevant if you need to demonstrate specific control implementation, typically for federal contracting relationships. AI RMF, now largely absorbed into CSF 2.0's Govern function via the Cyber AI Profile, is relevant if you develop or deploy AI systems. We assess which combination applies to your specific contractual and regulatory context.

Does NIST alignment help with ISO 27001 or SOC 2 at the same time?

Yes, substantially. NIST CSF 2.0, ISO 27001, and SOC 2's Security TSC share significant control overlap. Organisations pursuing multiple frameworks benefit from a combined control mapping exercise rather than three separate, disconnected assessments — we design engagements to capture this overlap wherever it exists.

How often does NIST guidance actually change?

More often than most compliance programmes account for. Beyond major revisions like SP 800-53 Rev 6, NIST continuously publishes new Informative References mapping CSF 2.0 to other standards — including a new OWASP LLM Top 10-to-CSF crosswalk published in April 2026 — plus interim reports, workshop outputs, and draft profiles under active development. A programme reviewed once at implementation and never revisited will drift out of alignment within a year or two.

Ready to align with NIST?

All engagements begin with a complimentary scoping call.

Let us assess which NIST framework, or combination, actually applies to your contractual and regulatory context.

or call +91 79819 12046 — Mon–Sat, 9 AM – 7 PM IST

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SIRI Law LLP — Hyderabad, India

Registered officeHITEC City, Madhapur, Hyderabad, Telangana 500081, India
Telephone+91 79819 12046
Emailinfo@sirilawllp.com
Other officesNew Delhi, India · Austin, Texas, USA · Online worldwide
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© SIRI Law LLP · Hyderabad, Telangana

This page is provided for general informational purposes only. NIST frameworks are US federal standards; applicability to your organisation depends on your specific contractual and regulatory context. References to SP 800-53 Revision 6 and the Cyber AI Profile merge reflect publicly available NIST guidance as of publication and remain subject to further NIST updates; confirm the current released version at csrc.nist.gov before finalising any control mapping. Engagement with SIRI Law LLP requires a formal retainer. This page does not constitute legal advice. SIRI Law LLP is a registered law firm under the Limited Liability Partnership Act 2008, practising under the Advocates Act 1961; complaints regarding professional conduct may be directed to the Bar Council of Telangana.

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