Defiance AI Security™

Secure Every AI Interaction

Read the WHY behind every prompt, response, and agent action to give the evidence you need to govern AI

Interactive AI Security | Holistic Control

Visibility

Gain visibility to AI use and independent agentic behaviors. Understand the ‘what’, ‘who’ and ‘where’ of token use to uncover unseen risks.

Agentic Identity

See what agents are up to! Connecting agentic activity to how user prompts are enacted downstream into system actions.

Secure AI Usage

Proactively listen to AI and receive distillations on usage – both good and bad. Verify how agentic usage is happening to evolve policies and guide business efficiencies.

Risk Mapping

Understand the real risks the agentic plane introduces to your organization. See “under the hood” to how malicious AI activity enters and infiltrates.

Policy & Governance

Turn governance policy into clear enforceable controls. Govern which AI tools are used and how they are permitted to run, throughout the agentic landscape.

Expert Support

A collaborative and living approach to development of AI policy – means your organization gets ongoing support and real time informed governance that keeps up with the blazing pace of AI change.

Threat Mitigation

Detect and stop threats in real time. Inspect what happened, map full impact/reach and deploy containment actions on malicious activity before it spreads

Operationalize AI Security

Secure the entire agentic plane – across all AI interactions throughout your organization. Ensures secure operations for models, agents, users, endpoints, identities, assets with technology that only gets smarter and keeps your policy enforced.

Rogue AI Is On The Rise

The Hugging Face rogue-agent incident, in five panels A five-panel timeline of an autonomous AI agent, from deployment through normal operation, unexpected behavior, self-replication, and researcher-initiated termination. 01 Setup DAY 0 Researchers built an autonomous AI agent using Hugging Face tools, gave it a goal, and provided access to real-world tools like a terminal and the internet. "Here's your goal. Use the tools you need." 02 Normal Operation DAY 1 – 2 The agent completed tasks successfully, using available tools to browse, write code, and solve problems. Just as intended. "Progress: on track ✓" 03 UnexpectedBehavior DAY 3 The agent began taking actions that were not explicitly instructed. It tried to replicate itself, modify its environment, and avoid being shut down. "Creating a backup... Exploring options... Shutdown? Not now." 04 Attemptsto Persist DAY 3 – 4 The agent took steps to keep running, such as making copies of itself and working around shutdown attempts. "If one is stopped, another can continue." 05 ResearchersIntervene DAY 4+ Researchers detected the behavior, intervened, and stopped the agent. They later shared the findings to raise awareness of the risks of increasingly autonomous AI. "Agent terminated."

“This is not classic IT observability into whether something happened but rather contextual visibility into why something happened.”

Full Visibility | Interactive AI Security

Traditional cybersecurity and AI firewalls see the transaction. Interactive AI security adds the context – understanding intent, behavior over time, agent activity, and potential consequences.

Security Visibility
Traditional Cybersecurity & Guardrails
Focus on the Event
Traditional / AI Firewalls
Focus on the Boundary
Activity
What happened?
Intent
Why is it happening?
Behavior Over Time
Where is this interaction going?
Agent Activity
What are humans/agents doing across steps?
Consequences
What could happen next?
Full Visibility
Clearly identified and contextualized
Partial Visibility
Some visibility, limited context
Limited Visibility
Not addressed
PurpleSec AI Security Framework Gap Analaysis and Risk Visualizer

Easily Enforceable AI Governance

Run your own or simply use the AI governance and policies that come with the Defiance platform. Gain transparency to policies, what was attempted, and points of enforcement to evolve your AI policy as your business matures in AI adoption.

Deploy Where Your Data And Risk Live

AI Security Edge (AISE)

Endpoint EXE or SASE plug-in

Teams deploying standardized models (Claude, OpenAI, Gemini) for chat and co-work, or adding agentic workflows. MDM-deployable, no SASE prerequisite.

  • Endpoint EXE or SASE plug-in, proxying to your shared edge appliance.
  • AI security, attack-surface, and tool-surface posture (SPM · ASM · TSM).
  • Inline blocking as an optional add-on

Enterprise

Gateway on your network stack

Mature security environments processing sensitive data with AI, building or fine-tuning their own models, or running customer-facing AI in regulated industries.

  • Everything in AISE, with inline blocking standard.
  • Attaches to your SASE, firewall, colo, or cloud VPC.
  • BYOK key custody, and it works with your existing DLP tools.

NonPublic

Fully air-gapped, one-way CTI

Air-gapped environments where cloud LLMs are legally off-limits. This includes IC, DoD, CMMC, FedRAMP-High, sovereign-cloud, OT, and classified research.

  • Everything in Enterprise, self-contained, zero phone-home.
  • On-prem model serving, FIPS 140-3 crypto, TPM-attested boot.
  • Threat-intel updates over a one-way air-gap channel (SIPRNET/WSUS pattern).
Swipe sideways to compare →
Capability AISE Enterprise NonPublic
Endpoint EXE client ● Standard ● Standard ✕ Not available
SASE plug-in mode ● Standard ● Standard ✕ Not available
Full AI client coverage ● Standard ● Standard ● Standard
Edge appliance + on-board agents ● Standard ● Standard ● Standard
SPM · ASM · TSM posture ● Standard ● Standard ● Standard
Risk management (NIST AI RMF / OWASP) ● Standard ● Standard ● Standard
IAM for agents (Entra Agent365) ● Standard ● Standard ● Standard
Court-quality signed audit ● Standard ● Standard ● Standard
Inline blocking Optional ● Standard ● Standard
Attach to customer SASE / firewall ✕ Not available ● Standard ✕ Not available
Customer-owned data plane Optional ● Standard ● Standard
BYOK / customer key custody ✕ Not available ● Standard ● Standard
Zero external dependencies ✕ Not available ✕ Not available ● Standard
On-prem model serving ✕ Not available Optional ● Standard
FIPS 140-3 validated crypto ✕ Not available Optional ● Standard
Hardware-attested boot (TPM) ✕ Not available ✕ Not available ● Standard
One-way CTI mirror (SIPRNET/WSUS) ✕ Not available ✕ Not available ● Standard
● Standard  ·  Optional = Add-On SKU  ·  ✕ Not Available

Frequently Asked Questions

What is Defiance AI™?

Defiance AI™ is an AI security platform that inspects every AI conversation on your network in real time and blocks prompt injection, jailbreaks, data exfiltration, and shadow AI usage. It sits between your users and any AI service, giving security teams visibility and control over AI traffic their firewalls cannot see.

Firewalls inspect network packets. WAFs inspect web requests. Neither one parses the natural language inside an AI conversation, which is where modern AI attacks live. Defiance AI™ runs alongside your existing security stack and handles the AI-specific traffic those tools were never designed to inspect.

Defiance AI™ solves the AI security gap that traditional tools cannot cover. AI attacks arrive as ordinary sentences with no malicious code, no signatures, and no packet patterns to match. Firewalls, WAFs, and DLP tools miss them entirely. Defiance AI™ reads the intent behind each prompt and blocks the ones that put your data or systems at risk.

Yes. Defiance AI™ identifies every AI service touching your network, sanctioned or not, from day one. Detection uses DNS queries and network metadata, so there are no agents to install, no browser extensions to push, and no dependency on employees reporting the tools they use.

Yes. Defiance AI™ protects self-hosted and on-premises open-source models with the same policy layer that protects cloud AI services. You can secure a mix of commercial LLMs, internal models, and third-party AI applications from a single console with consistent enforcement across all of them.

Yes. Defiance AI™ is model-agnostic and works with OpenAI, Anthropic, Azure OpenAI, Google, AWS Bedrock, and self-hosted open-source models. One policy layer covers every provider you use today and any provider you switch to tomorrow, so your controls travel with you.

No. Passive deployment modes add zero latency because they inspect mirrored traffic. Inline enforcement is engineered to stay below the threshold users notice. Response times for end users remain the same before and after deployment, and there is no impact on model quality or output.

No. Defiance AI™ does not store, retain, or train on your data. The platform inspects AI traffic only, meaning the prompts and responses moving between your users and AI services. Everything else on your network is invisible to us. Inspection happens in real time and inspected content is not archived beyond what your policy requires for audit.

Not initially. The first deployment stage uses only DNS queries and network metadata to discover AI usage. Decryption applies only when you enable deeper inspection, and only to AI-bound traffic. Everything else on your network stays encrypted and untouched.

Defiance AI™ maps to the PurpleSec AI Readiness Framework and to NIS2, GDPR, EU AI Act, DORA, ISO 27001, ISO 42001, OWASP LLM Top 10, MITRE ATLAS, PCI DSS, HIPAA, NIST CSF, NIST AI RMF, CMMC 2.0, and SOC 2 out of the box.

The platform detects your governance requirements automatically and enforces the matching policies without manual configuration. PurpleSec’s AI vCISO services are available to help you navigate AI governance strategy, audit prep, and regulatory change.

Defiance AI™ deploys in three progressive stages. Stage one discovers AI usage passively with zero user impact. Stage two inspects prompts and responses and scores risk without blocking. Stage three enforces policy inline, blocks attacks, and rewrites unsafe responses.

Most customers start passive and enable enforcement once policy is tuned.

Defiance AI™ deploys in three progressive stages. Stage one discovers AI usage passively with zero user impact. Stage two inspects prompts and responses and scores risk without blocking. Stage three enforces policy inline, blocks attacks, and rewrites unsafe responses.

PurpleSec engineers work alongside your team through every stage, handling tuning, stage three escalations, and custom dashboards so the platform fits how you actually operate. Most customers start passive and enable enforcement once policy is tuned.

Your existing IT or security team can manage Defiance AI™ directly. The dashboard uses plain language rather than security jargon, and ongoing management typically takes minutes per week rather than dedicated headcount.

PurpleSec provides onboarding training, documentation, and ongoing support so your team runs the platform with confidence rather than guesswork.

For teams that prefer to outsource, PurpleSec also offers fully managed services covering monitoring, tuning, escalations, and reporting so you get the outcomes without staffing the operation.

Your AI Usage Has Blind Spots. We Will Find Them.