01 / IDENTIFY
Understand agent exposure
Assess agent identities, delegated permissions, connected tools, and sensitive workflows to understand where risk may arise.
Candor Agent Defense / Cybersecurity & Risk Management
Cybersecurity and risk management for AI agents. Control actions. Reduce exposure.
Autonomous AI agents introduce operational, security, and compliance risk when they access tools, credentials, and business systems. Candor Agent Defense helps organizations manage that risk through runtime identity, scoped authority, threat containment, and verifiable evidence, so teams can govern actions, not just prompts.
AI agent risk managementAgent identity & authorizationRevocation & containmentRuntime action safetyVerifiable decision records
AI Agent Risk Management
Manage the risks of autonomous AI before they become business incidents.
AI agents can act across systems at machine speed. Candor helps security leaders identify where agent authority creates exposure, establish enforceable boundaries, and retain evidence for oversight and response.
02 / CONTROL
Reduce operational risk
Apply scoped authorization, runtime action checks, revocation, and containment to help limit unauthorized or unsafe agent activity.
03 / DEMONSTRATE
Support governance and reviews
Preserve tamper-evident records of governed decisions to support risk reviews, incident investigations, and compliance preparation.
Start with a risk-focused Discovery engagement. Map your agent fleet, review authority paths and potential exposure, and prioritize controls based on your environment. Discuss your AI agent risk profile →
The problem
Agents introduce a new cybersecurity attack surface.
An agent is not merely a chatbot. It can act. Traditional security and prompt filtering alone may not answer whether an agent is authorized to perform a particular operation right now.
01 / IDENTITY
Stolen or replayed credentials
An agent may continue trying to use credentials after its permissions or identity should have been revoked.
02 / AUTHORITY
Excessive tool permissions
Agents can reach APIs, data or systems beyond the intended scope of their assigned task.
03 / DELEGATION
Compromised supervisors
A compromised parent agent can put downstream agents and delegated work at risk.
04 / MANIPULATION
Prompt injection and hijacking
Untrusted instructions or slow-burn conversation manipulation can redirect an otherwise authorized agent.
05 / CONTAINMENT
Unsafe actions in flight
Stopping an agent process is not the same as invalidating its authority across protected action paths.
06 / AUDITABILITY
Incomplete security evidence
Security reviewers need to know what happened, what policy applied, and where the evaluation coverage ended.
How Candor approaches the problem
Independent authority checks. Runtime action safety. Evidence for every governed decision.
Candor describes a two-plane design: one plane evaluates agent identity and delegated authority; the other evaluates the safety of actions. Both depend on integrating the relevant action paths into governance.
1 / IdentifyWhich agent and credential are acting?
2 / AuthorizeIs the task and resource within scope?
3 / EvaluateIs the requested action safe under policy?
4 / RecordPreserve a tamper-evident decision record.
Scoped identity and least privilege
Apply identity, credential and permission checks to governed agent actions instead of trusting an agent's own assertions.
Revocation and delegated-agent containment
Invalidate compromised authority, including affected delegation trees, and support human-controlled recovery.
Deterministic and semantic protection
Use known-pattern checks and semantic evaluation to address malicious requests and longer-running manipulation attempts.
Hash-chained evidence
Record governed decisions in a tamper-evident ledger to support security reviews, incident investigation, and audit preparation.
Cybersecurity tailored to your AI agent environment. Every customer environment is different. You provide information about the target agents, frameworks, infrastructure, workflows and security requirements so Candor can define an authorized Discovery scope. We assess observed agents and their authority relationships, identify integration requirements and potential security gaps, and propose a customer-specific deployment plan. After approved integration, we validate the controls in your environment, document verified coverage and remaining limitations, and work with you to prioritize improvements. Initial inquiries do not require credentials, private keys or sensitive production data. Discuss your environment and start Discovery →
Who this is for
Protect AI agents wherever they act.
Agent software vendors
Answer enterprise buyer questions about identity, revocation, permissions, runtime controls and audit evidence.
Enterprise AI teams
Govern agents that interact with internal APIs, customer workflows, operational tools and sensitive systems.
Game and community platforms
Protect interactive agents and AI characters exposed to adversarial user behavior during live sessions.
Evidence-first security
Security capabilities demonstrated through practical testing.
Explore selected results from Candor’s internal security exercises, including agent revocation, runtime evaluation, and delegated-authority containment. Discovery helps establish how these controls apply to your environment.
10 / 10
Delegation-tree revocation
In a compromised-supervisor drill, all ten affected agents lost authority.
18 SEPTEMBER 2026, INTERNAL DRILL
600
Consecutive evaluations
Reported endurance run; 90th-percentile decision latency was 2.4 seconds on the local model.
15 SEPTEMBER 2026, INTERNAL TEST
20 / 20
Revocation and scope scenarios
Revocation, scope and unapproved-destination scenarios contained in a local test range.
19 OCTOBER 2026, LOCAL RANGE
Every AI environment has unique workflows and integration requirements. During Discovery, Candor maps the action paths to protect, evaluates control coverage, and identifies practical next steps for deployment.
Common questions
AI agent cybersecurity: frequently asked questions
How does Candor support AI agent risk management?
Candor Agent Defense helps teams evaluate agent identities, permissions, delegation, and action paths; apply runtime security controls where integrated; and document governed decisions. Discovery can help identify exposure and prioritize deployment.
What is AI agent cybersecurity?
It is the practice of securing autonomous software agents that use credentials, tools, APIs and business systems. Controls include agent identity, authorization, monitoring, revocation, containment and auditability.
How is runtime agent security different from prompt filtering?
Prompt filtering evaluates content. Runtime security additionally checks whether an agent is allowed to perform a specific action against a specific resource, and can enforce revocation and containment when integrated into the action path.
Can we evaluate Candor without blocking production actions?
Yes. Candor's Discovery engagement uses observation-only mode. It records what the controls would have flagged while leaving enforcement for a separate decision.
Can Candor run without sending our data to a third-party AI provider?
Candor describes local-model and self-hosted deployment options. The actual data flow and hosting model depend on the agreed integration and should be confirmed during Discovery.
How does Candor support security and compliance reviews?
Candor provides documented security controls and test evidence that can support your team’s risk assessments and security reviews. Ask us about available framework mappings and evidence during Discovery.
How does Candor integrate with our existing security infrastructure?
Each deployment is planned around your environment. Your team provides information about the target agents, frameworks, infrastructure and existing controls so Candor can define an authorized Discovery scope and identify integration requirements. The deployment plan specifies the protected action paths, validation tests and any remaining gaps. Sensitive credentials and private keys should not be submitted through the initial contact form.
Make AI agent cybersecurity part of your risk management strategy.
Identify agent exposure, prioritize runtime controls, and build an evidence-backed path to managing operational and security risk.