Silverfort Unveils Next-Gen Identity Intelligence Tools, Doubling Down on Unified Identity Defense

In a move that underscores how identity has become the battlefield of enterprise security, Silverfort today rolled out two major modules for its identity protection stack: Access Intelligence and Identity Graph & Inventory. Together, they bring deeper behavioral visibility, relational mapping, and context-driven control to a platform already tackling some of the hardest corners of identity risk.

These additions strengthen Silverfort’s claim to a “complete” identity security fabric: one that spans human, machine, and AI-agent identities, across cloud and on-prem systems, including legacy and command-line environments that conventional IAM tools typically can’t touch.

Identity Risk Is No Longer a Plumbing Problem — It’s a Narrative Problem

In interviews leading up to the launch, Silverfort executives framed this as more than incremental feature release: it’s the latest step toward an identity-centric architecture. The pitch is that identity risk isn’t just about credential hygiene, but about understanding how identities relate, traverse systems, and mutate over time.

“The evolving threats around AI, non-human identities and privileged access require a unified platform that can discover, analyze and protect all identities, everywhere,” said Hed Kovetz, Silverfort’s CEO & Co-Founder. He pointed to recent waves of M&A activity in the identity/security space as affirmation that the market is demanding something more integrated.

Those demands are rooted in reality: in modern enterprises, identity silos abound. On one side, identity providers, directories, and PAM/privileged tools each see only a sliver of the picture. On the other, sophisticated attacks increasingly exploit “unknown” or transient access paths — dormant service accounts, cross-domain trust relationships, AI agents granted unbounded API access. The classical Principle of Least Privilege becomes deeply fraught when identity sprawl is uncontrolled.

Access Intelligence and Identity Graph & Inventory represent Silverfort’s bet that the next phase of identity defense will require narrative-style understanding — not just who has which right, but how identities connect, evolve, and behave.

What’s New: Deep Visibility Meets Contextual Mapping

Here’s a closer look at the two new capabilities:

Access Intelligence

This module surfaces actual usage (not just assignments): which users are using which permissions, and where they are not. It tracks how identities traverse access paths—across cloud and legacy landscapes—to find hidden privilege chains, unused or stale entitlements, and dormant accounts that expose risk. That visibility empowers admins to clean up access grants and reduce “permission debt,” cutting both security and licensing waste.

Identity Graph & Inventory

While Access Intelligence is about behavior, Graph & Inventory infuses structure. It builds a live, unified map of every identity, every entitlement, and the relationships among them. Instead of navigating multiple silos or combing logs, security or IAM teams can understand, at a glance, how a user’s identity branches across multiple domains, which service accounts are tied to which owners, and which edges in the graph represent overprivileged or anomalous connections.

Together, they create a kind of identity “map + traffic” view, enabling threat hunting, investigations, audit readiness, and more precise least-privilege adjustments.

The Platform Context: More Than Just Visibility

These new modules slot into a broader architecture Silverfort has been assembling. Under the hood is the company’s Runtime Access Protection (RAP) — patented logic that enables enforcement of inline controls, without requiring structural rewrites or proxying of all traffic.

Already in the mix:

• NHI / non-human identity protection (service accounts, tokens, API roles) extended to cloud environments via its Rezonate acquisition.

• Privileged Access Security (PAS) for discovery, classification, and guarding of privileged accounts.

• Earlier releases of AI Agent Security, which treat AI agents as first-class identities, tether them to human owners, and apply audit and enforcement controls over agent behavior.

In effect, Silverfort is building out what it terms an “identity control plane” — a layer of monitoring, analytics, and enforcement that sits above and across the ecosystem of IAM, PAM, IdPs, and resource endpoints.

Challenges and Skepticism: Integration, Scale, and Cultural Buy-in

While the vision is bold, execution won’t be trivial.

Integration drag

Enterprises already running disparate IAM, PAM, and identity governance tools will face integration work. Reconciliation across legacy systems, custom access modules, and third-party APIs will challenge the ideal of “plug-and-play” identity visibility.

Performance and scale

Mapping identity graphs and tracking usage at enterprise scale — across cloud, on-prem, AI tooling, OT systems — is compute- and data-intensive. Any delays or lag in inference could undercut real-time enforcement or alerting.

User friction and exception handling

Inline controls are powerful, but in real-world operations, false positives or legitimate emergent behavior need easy override and feedback loops. Identity engineers will demand guardrails to avoid blocking critical workflows.

Cultural and ownership friction

Identity touches both security and operations teams, but often neither owns it fully. A unified identity fabric demands buy-in across disparate teams: IAM, security operations, application owners, and central IT. Without clear governance and incentive alignment, even the best tools can stagnate.

Why This Matters: The Identity Era Is Now

As the perimeter blurs and AI agents, APIs, and automation proliferate, identity becomes the battleground. Attackers increasingly pivot to identity-based escalation, lateral movement, and privilege abuse — not just network exploits. Security leaders are scrambling to shift defenses from static perimeter controls to dynamic identity-level policy and enforcement.

By delivering tools that combine structural graph intelligence with actual usage visibility, Silverfort is staking a claim that identity risk must be understood in narrative form: who, how, when, across what paths. In doing so, it edges closer to making the identity security dream — a single pane of truth and control across all humans, machines, and agents — a practical reality.

That said, the next 6–12 months will be an acid test: how many enterprises can absorb this architectural shift, rationalize their identity sprawl, and operationalize a unified control plane. Silverfort’s bet is that identity is no longer an afterthought — it’s the foundation.